ORCID Profile
0000-0002-8322-3319
Current Organisation
Queensland University of Technology
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Computational Fluid Dynamics | Biomechanical Engineering | Numerical Modelling and Mechanical Characterisation | Interdisciplinary Engineering | Fluid mechanics and thermal engineering | Computational methods in fluid flow heat and mass transfer (incl. computational fluid dynamics) | Engineering Design Methods | Energy Generation, Conversion and Storage Engineering | Human Movement and Sports Science | Mechanical Engineering | Biomechanics | Numerical modelling and mechanical characterisation |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Geothermal Energy | Solar-Thermal Energy | Industrial Chemicals and Related Products not elsewhere classified | Health and Support Services not elsewhere classified | Expanding Knowledge in the Medical and Health Sciences
Related Links
Publications
Performance assessment of a standard radial turbine as turbo expander for an adapted solar concentration ORC
Publisher: Elsevier BV
Date: 03-2020
Influence of indoor airflow on particle spread of a single breath and cough in enclosures: Does opening a window really ‘help’?
Publisher: Elsevier BV
Date: 07-2022
A novel numerical model to predict the morphological behavior of magnetic liquid marbles using coarse grained molecular dynamics concepts
Publisher: AIP Publishing
Date: 2018
DOI: 10.1063/1.5000289
Abstract: Liquid marbles are liquid droplets coated with superhydrophobic powders whose morphology is governed by the gravitational and surface tension forces. Small liquid marbles take spherical shapes, while larger liquid marbles exhibit puddle shapes due to the dominance of gravitational forces. Liquid marbles coated with hydrophobic magnetic powders respond to an external magnetic field. This unique feature of magnetic liquid marbles is very attractive for digital microfluidics and drug delivery systems. Several experimental studies have reported the behavior of the liquid marbles. However, the complete behavior of liquid marbles under various environmental conditions is yet to be understood. Modeling techniques can be used to predict the properties and the behavior of the liquid marbles effectively and efficiently. A robust liquid marble model will inspire new experiments and provide new insights. This paper presents a novel numerical modeling technique to predict the morphology of magnetic liquid marbles based on coarse grained molecular dynamics concepts. The proposed model is employed to predict the changes in height of a magnetic liquid marble against its width and compared with the experimental data. The model predictions agree well with the experimental findings. Subsequently, the relationship between the morphology of a liquid marble with the properties of the liquid is investigated. Furthermore, the developed model is capable of simulating the reversible process of opening and closing of the magnetic liquid marble under the action of a magnetic force. The scaling analysis shows that the model predictions are consistent with the scaling laws. Finally, the proposed model is used to assess the compressibility of the liquid marbles. The proposed modeling approach has the potential to be a powerful tool to predict the behavior of magnetic liquid marbles serving as bioreactors.
An Improved Coarse-Grained Model to Accurately Predict Red Blood Cell Morphology and Deformability
Publisher: Springer International Publishing
Date: 2020
Application of high-order lattice Boltzmann pseudopotential models
Publisher: American Physical Society (APS)
Date: 09-03-2020
Numerical investigation of diesel exhaust particle transport and deposition in the CT-scan based lung airway
Publisher: Author(s)
Date: 2017
DOI: 10.1063/1.4984721
A pore-resolved interface tracking algorithm for simulating multiphase flow in arbitrarily structured porous media
Publisher: Elsevier BV
Date: 04-2022
Integrative transcriptome-wide analyses uncover novel risk-associated microRNAs in hormone-dependent cancers
Publisher: Frontiers Media SA
Date: 26-08-2021
DOI: 10.3389/FGENE.2021.716236
Abstract: Hormone-dependent cancers (HDC) are among the leading causes of death worldwide among both men and women. Some of the established risk factors of HDC include unhealthy lifestyles, environmental factors, and genetic influences. Numerous studies have been conducted to understand gene–cancer associations. Transcriptome-wide association studies (TWAS) integrate data from genome-wide association studies (GWAS) and gene expression (expression quantitative trait loci – eQTL) to yield meaningful information on biological pathways associated with complex traits/diseases. Recently, TWAS have enabled the identification of novel associations between HDC risk and protein-coding genes. In the present study, we performed a TWAS analysis using the summary data-based Mendelian randomization (SMR)–heterogeneity in dependent instruments (HEIDI) method to identify microRNAs (miRNAs), a group of non-coding RNAs (ncRNAs) associated with HDC risk. We obtained eQTL and GWAS summary statistics from the ncRNA-eQTL database and the National Human Genome Research Institute–European Bioinformatics Institute (NHGRI-EBI) GWAS Catalog. We identified 13 TWAS-significant miRNAs at cis regions (±1 Mb) associated with HDC risk (two, five, one, two, and three miRNAs for prostate, breast, ovarian, colorectal, and endometrial cancers, respectively). Among them, eight novel miRNAs were recognized in HDC risk. Eight protein-coding genes targeted by TWAS-identified miRNAs ( SIRT1 , SOX4 , RUNX2 , FOXA1 , ABL2 , SUB1 , HNRNPH1 , and WAC ) are associated with HDC functions and signaling pathways. Overall, identifying risk-associated miRNAs across a group of related cancers may help to understand cancer biology and provide novel insights into cancer genetic mechanisms. This customized approach can be applied to identify significant miRNAs in any trait/disease of interest.
Deformation behaviour of stomatocyte, discocyte and echinocyte red blood cell morphologies during optical tweezers stretching
Publisher: Springer Science and Business Media LLC
Date: 25-02-2020
SPH-DEM approach to numerically simulate the deformation of three-dimensional RBCs in non-uniform capillaries
Publisher: Springer Science and Business Media LLC
Date: 12-2016
Ultrafine particle transport and deposition in a large scale 17-generation lung model
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.JBIOMECH.2017.08.028
Abstract: To understand how to assess optimally the risks of inhaled particles on respiratory health, it is necessary to comprehend the uptake of ultrafine particulate matter by inhalation during the complex transport process through a non-dichotomously bifurcating network of conduit airways. It is evident that the highly toxic ultrafine particles damage the respiratory epithelium in the terminal bronchioles. The wide range of in silico available and the limited realistic model for the extrathoracic region of the lung have improved understanding of the ultrafine particle transport and deposition (TD) in the upper airways. However, comprehensive ultrafine particle TD data for the real and entire lung model are still unavailable in the literature. Therefore, this study is aimed to provide an understanding of the ultrafine particle TD in the terminal bronchioles for the development of future therapeutics. The Euler-Lagrange (E-L) approach and ANSYS fluent (17.2) solver were used to investigate ultrafine particle TD. The physical conditions of sleeping, resting, and light activity were considered in this modelling study. A comprehensive pressure-drop along five selected path lines in different lobes was calculated. The non-linear behaviour of pressure-drops is observed, which could aid the health risk assessment system for patients with respiratory diseases. Numerical results also showed that ultrafine particle-deposition efficiency (DE) in different lobes is different for various physical activities. Moreover, the numerical results showed hot spots in various locations among the different lobes for different flow rates, which could be helpful for targeted therapeutical aerosol transport to terminal bronchioles and the alveolar region.
Multi-objective aerodynamic optimisation of a real gas radial-inflow turbine
Publisher: American Society of Mechanical Engineers
Date: 13-06-2016
DOI: 10.1115/GT2016-58132
Abstract: The above referenced paper has been removed from publication. June 29, 2017. Copyright © 2017 by ASME
Emergence of unstable invasion during imbibition in regular porous media
Publisher: Cambridge University Press (CUP)
Date: 04-05-2022
DOI: 10.1017/JFM.2022.336
Abstract: The unstable fluid–fluid displacement patterns in porous media with rough invasion fronts and trapping of the defending phase are often observed in drainage, i.e. when the solid is non-wetting to the invading phase. On the other hand, during imbibition, compact and faceted growth is expected in regular porous media with geometrically homogeneous pore structure. Here, we report the irregular growth of invading fluid during the imbibition process in two-dimensional regular porous media. The ramified invasion morphology associated with thin fingers is reminiscent of capillary fingering. Through examining the capillary pressure signals and the type of pore-scale invasion mechanisms, the fundamental differences between faceted growth and irregular invasion are revealed. By analysing the pore-scale invasion mechanisms, a phase diagram describing the dominance of different invasion events is proposed. Through conducting systematic quasi-static radial injection simulations across a wide range of porosity and wettability, excellent agreement is observed on the transition boundary from faceted and compact displacement patterns to irregular and dendritic invasion morphologies. This is reflected by the overlap of the transition boundaries from analytical prediction, type of pore-scale invasion events, and macroscopic morphology quantified by the fractal dimension. This work provides new insights on the role of geometrical features of solid structures during multiphase flow with emphasis on the porosity and wettability. The findings could assist in guiding the design of microfluidic devices to control deterministically the multiphase flow, transport and reaction processes.
A coupled finite volume & discrete element method to examine particulate foulant transport in metal foam heat exchangers
Publisher: Elsevier BV
Date: 12-2017
A hybrid lattice Boltzmann model for simulating viscoelastic instabilities
Publisher: Elsevier BV
Date: 03-2022
A multiscale modeling method incorporating spatial coupling and temporal coupling into transient simulations of the human airways
Publisher: Wiley
Date: 09-06-2021
DOI: 10.1002/FLD.5015
Abstract: In this article, a novel multiscale modeling method is proposed for transient computational fluid dynamics (CFD) simulations of the human airways. The developed method is the first attempt to incorporate spatial coupling and temporal coupling into transient human airway simulations, aiming to improve the flexibility and the efficiency of these simulations. In this method, domain decomposition was used to separate the complex airway model into different scaled domains. Each scaled domain could adopt a suitable mesh and timestep, as necessary: the coarse mesh and large timestep were employed in the macro regions to reduce the computational cost, while the fine mesh and small timestep were used in micro regions to maintain the simulation accuracy. The radial point interpolation method was used to couple data between the coarse mesh and the fine mesh. The continuous micro solution–intermittent temporal coupling method was applied to bridge different timesteps. The developed method was benchmarked using a well‐studied four‐generation symmetric airway model under realistic normal breath conditions. The accuracy and efficiency of the method were verified separately in the inhalation phase and the exhalation phase. Similar airflow behavior to previous studies was observed from the multiscale airway model. The developed multiscale method has the potential to improve the flexibility and efficiency of transient human airway simulations without sacrificing accuracy.
Open design of high pressure ratio radial-inflow turbine for academic validation
Publisher: American Society of Mechanical Engineers
Date: 09-11-2012
Abstract: Computational Fluid Dynamics (CFD) simulations are widely used in mechanical engineering. Although achieving a high level of confidence in numerical modelling is of crucial importance in the field of turbomachinery, verification and validation of CFD simulations are very tricky especially for complex flows encountered in radial turbines. Comprehensive studies of radial machines are available in the literature. Unfortunately, none of them include enough detailed geometric data to be properly reproduced and so cannot be considered for academic research and validation purposes. As a consequence, design improvements of such configurations are difficult. Moreover it seems that well-developed analyses of radial turbines are used in commercial software but are not available in the open literature especially at high pressure ratios. It is the purpose of this paper to provide a fully open set of data to reproduce the exact geometry of the high pressure ratio single stage radial-inflow turbine used in the Sundstrand Power Systems T-100 Multipurpose Small Power Unit. First, preliminary one-dimensional meanline design and analysis are performed using the commercial software RITAL from Concepts-NREC in order to establish a complete reference test case available for turbomachinery code validation. The proposed design of the existing turbine is then carefully and successfully checked against the geometrical and experimental data partially published in the literature. Then, three-dimensional Reynolds-Averaged Navier-Stokes simulations are conducted by means of the Axcent-PushButton CFD® CFD software. The effect of the tip clearance gap is investigated in detail for a wide range of operating conditions. The results confirm that the 3D geometry is correcty reproduced. It also reveals that the turbine is shocked while designed to give a high-subsonic flow and highlight he importance of the diffuser.
A general Neural Particle Method for hydrodynamics modeling
Publisher: Elsevier BV
Date: 04-2022
Transient heat transfer and non-isothermal particle-laden gas flows through porous metal foams of differing structure
Publisher: Elsevier BV
Date: 03-2019
Loss models for on and off-design performance of radial inflow turbomachinery
Publisher: Elsevier BV
Date: 03-2019
Wettability impacts residual trapping of immiscible fluids during cyclic injection
Publisher: Cambridge University Press (CUP)
Date: 25-04-2023
DOI: 10.1017/JFM.2023.222
Abstract: Understanding the hysteretic behaviour in fluid–fluid displacement processes in porous media is critical in many engineering applications. In this work, we study the quasi-static immiscible displacement process in two-dimensional porous media during cyclic injections in the context of carbon geosequestration. The role of wettability on the residual trapping of CO $_2$ is investigated numerically using an extended interface tracking algorithm. Despite that higher CO $_2$ saturation can be achieved in CO $_2$ -wet porous media after the first CO $_2$ injection, the majority of CO $_2$ is found to be unstable and can be mobilised during subsequent water injection processes. An improvement in the residual trapping of CO $_2$ is observed as the number of injection cycles increases, which is associated with the dispersion of continuous CO $_2$ ganglia into numerous smaller blobs. Compared with either water-wet or CO $_2$ -wet porous media, it is found that less CO $_2$ is trapped within the neutral-wet ones at equilibrium state after a sufficient number of injection cycles. The hysteretic behaviour of saturation between water/CO $_2$ injection cycles is found to follow an exponential decay, which eventually reaches a finite value. This process corresponds to the shift of the mobile region during displacement from typical capillary fingering to a less ramified regime, which ultimately converges towards main flow channels. This work highlights the hysteretic behaviour during cyclic injections, providing insights on the wettability impacts on multiphase flow in porous media, which is of great importance in applications such as carbon geosequestration and geological hydrogen storage.
The effect of periodicity in the elastic turbulence regime
Publisher: Cambridge University Press (CUP)
Date: 02-03-2022
DOI: 10.1017/JFM.2022.103
Abstract: In this work, we show that the double-periodic boundary conditions typically applied in numerical simulations of elastic turbulence can lead to significantly incorrect results if not treated properly. This is demonstrated by simulating elastic turbulence using the popular four-roll mill benchmark at different levels of periodicity, namely, 16, 36 and 64 rolls using the popular Oldroyd-B model with added artificial diffusivity. We find that the initial onset of elastic turbulence causes a breakdown in symmetry independent of periodicity, which is characterised by a leading vortex and is known to be attributed to artificial diffusivity. Beyond this initial transition, the standard four-roll mill case transitions into a periodic state, a well-known characteristic from the literature. On the other hand, the cases with higher levels of periodicity quickly overcome the effects of a leading vortex and experience purely chaotic flow fluctuations, characterised by a broadband spectrum and steep power law behaviour. Certain qualities of the flow at higher levels of periodicity are reminiscent of the true solutions of elastic turbulence obtained numerically without any artificial diffusivity (Gupta & Vincenzi, J. Fluid Mech. , vol. 870, 2019). These results suggest that the well-known periodic states observed for the four-roll mill are due to insufficient periodicity as the problem transitions into the elastic turbulence regime, leading to a dominant vortex cycling around all four quadrants of the unit cell throughout time unable to recover the initial symmetry. This work demonstrates the importance and caution required when applying periodic boundary conditions in numerical experiments of the elastic turbulence regime and further emphasises the impact and care required for artificial diffusivity.
Polydisperse Microparticle Transport and Deposition to the Terminal Bronchioles in a Heterogeneous Vasculature Tree
Publisher: Springer Science and Business Media LLC
Date: 06-11-2018
DOI: 10.1038/S41598-018-34804-X
Abstract: The atmospheric particles from different sources, and the therapeutic particles from various drug delivery devices, exhibit a complex size distribution, and the particles are mostly polydisperse. The limited available in vitro , and the wide range of in silico models have improved understanding of the relationship between monodisperse particle deposition and therapeutic aerosol transport. However, comprehensive polydisperse transport and deposition (TD) data for the terminal airways is still unavailable. Therefore, to benefit future drug therapeutics, the present numerical model illustrates detailed polydisperse particle TD in the terminal bronchioles for the first time. Euler-Lagrange approach and Rosin-Rammler diameter distribution is used for polydisperse particles. The numerical results show higher deposition efficiency (DE) in the right lung. Specifically, the larger the particle diameter (d p 5 μm), the higher the DE at the bifurcation area of the upper airways is, whereas for the smaller particle (d p 5 μm), the DE is higher at the bifurcation wall. The overall deposition pattern shows a different deposition hot spot for different diameter particle. These comprehensive lobe-specific polydisperse particle deposition studies will increase understanding of actual inhalation for particle TD, which could potentially increase the efficiency of pharmaceutical aerosol delivery at the targeted position of the terminal airways.
Magnetic convection heat transfer in an open ended enclosure filled with paramagnetic fluids
Publisher: Trans Tech Publications, Ltd.
Date: 05-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.553.109
Abstract: Numerical simulations of thermomagnetic convection of paramagnetic fluids placed in a micro-gravity condition (g ≈ 0) and under a uniform vertical gradient magnetic field in an open ended square enclosure with r heating temperature condition applied on a vertical wall is investigated in this study. In presence of the strong magnetic gradient field thermal convection of the paramagnetic fluid might take place even in a zero-gravity environment as a direct consequence of temperature differences occurring within the fluid. The thermal boundary layer develops adjacent to the hot wall as soon as the r temperature condition is applied on it. There are two scenario that can be observed based on the r heating time. The steady state of the thermal boundary layer can be reached before the r time is finished or vice versa. If the r time is larger than the quasi-steady time then the thermal boundary layer is in a quasi-steady mode with convection balancing conduction after the quasi-steady time. Further increase of the heat input simply accelerates the flow to maintain the proper thermal balance. Finally, the boundary layer becomes completely steady state when the r time is finished. Effects of magnetic Rayleigh number, Prandtl number and paramagnetic fluid parameter on the flow pattern and heat transfer are presented.
A new membrane formulation for modelling the flow of stomatocyte, discocyte, and echinocyte red blood cells
Publisher: Springer Science and Business Media LLC
Date: 12-04-2022
DOI: 10.1007/S10237-022-01567-4
Abstract: In this work, a numerical model that enables simulation of the deformation and flow behaviour of differently aged Red Blood Cells (RBCs) is developed. Such cells change shape and decrease in deformability as they age, thus impacting their ability to pass through the narrow capillaries in the body. While the body filters unviable cells from the blood naturally, cell aging poses key challenges for blood stored for transfusions. Therefore, understanding the influence RBC morphology and deformability have on their flow is vital. While several existing models represent young Discocyte RBC shapes well, a limited number of numerical models are developed to model aged RBC morphologies like Stomatocytes and Echinocytes. The existing models are also limited to shear and stretching simulations. Flow characteristics of these morphologies are yet to be investigated. This paper aims to develop a new membrane formulation for the numerical modelling of Stomatocyte, Discocytes and Echinocyte RBC morphologies to investigate their deformation and flow behaviour. The model used represents blood plasma using the Lattice Boltzmann Method (LBM) and the RBC membrane using the discrete element method (DEM). The membrane and the plasma are coupled by the Immersed Boundary Method (IBM). Previous LBM-IBM-DEM formulations represent RBC membrane response based on forces generated from changes in the local area, local length, local bending, and cell volume. In this new model, two new force terms are added: the local area difference force and the local curvature force, which are specially incorporated to model the flow and deformation behaviour of Stomatocytes and Echinocytes. To verify the developed model, the deformation behaviour of the three types of RBC morphologies are compared to well-characterised stretching and shear experiments. The flow modelling capabilities of the method are then demonstrated by modelling the flow of each cell through a narrow capillary. The developed model is found to be as accurate as benchmark Smoothed Particle Hydrodynamics (SPH) approaches while being significantly more computationally efficient.
Two- and four-way coupling of cohesive poly-disperse particulate foulants on a metal foam fibre immersed in quiescent fluid
Publisher: Elsevier BV
Date: 12-2017
Design and Optimization of a Radial Inflow Turbine for Use with a Low Temperature ORC
Publisher: MDPI AG
Date: 17-12-2021
DOI: 10.3390/EN14248526
Abstract: This study aims to design and optimize an organic Rankine cycle (ORC) and radial inflow turbine to recover waste heat from a polymer exchange membrane (PEM) fuel cell. ORCs can take advantage of low-quality waste heat sources. Developments in this area have seen previously unusable, small waste heat sources become available for exploitation. Hydrogen PEM fuel cells operate at low temperatures (70 °C) and are in used in a range of applications, for ex le, as a balancing or backup power source in renewable hydrogen plants. The efficiency of an ORC is significantly affected by the source temperature and the efficiency of the expander. In this case, a radial inflow turbine was selected due to the high efficiency in ORCs with high density fluids. Small scale radial inflow turbines are of particular interest for improving the efficiency of small-scale low temperature cycles. Turbines generally have higher efficiency than positive displacement expanders, which are typically used. In this study, the turbine design from the mean-line analysis is also validated against the computational fluid dynamic (CFD) simulations conducted on the optimized machine. For the fuel cell investigated in this study, with a 5 kW electrical output, a potential additional 0.7 kW could be generated through the use of the ORC. The ORC’s output represents a possible 14% increase in performance over the fuel cell without waste heat recovery (WHR).
Numerical Study of the Flow Behaviour of Discocyte Red Blood Cell Through a Non-uniform Capillary
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/99DEC0A
A Comparative Study of Mixed Resolved–Unresolved CFD-DEM and Unresolved CFD-DEM Methods for the Solution of Particle-Laden Liquid Flows
Publisher: Springer Science and Business Media LLC
Date: 07-09-2019
An Investigation into the Numerical Robustness of High-order Lattice Boltzmann Models
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/06B6D9B
Meanline Analysis and CFD Study of a Radial Inflow Turbine With Vaneless Distributor for Low Temperature Organic Rankine Cycle
Publisher: American Society of Mechanical Engineers
Date: 21-09-2020
DOI: 10.1115/GT2020-14792
Abstract: The Organic Rankine Cycle (ORC) allows the conversion of low-grade heat sources into electricity. Although this technology is not new, the increase in energy demand and the need to reduce CO2 emissions create new opportunities to harvest low grade heat sources such as waste heat. Radial turbines have a simple construction, they are robust and they are not very sensitive to geometry inaccuracies. Most of the radial inflow turbines used for ORC application feature a vaned nozzle ensuring the appropriate distribution angle at the rotor inlet. In this work, no nozzle is considered but only the vaneless gap (distributor). This configuration, without any vaned nozzle, is supposed to be more flexible under varying operating conditions with respect to fixed vanes and to maintain a good efficiency at off-design. This paper presents a performance analysis carried out by means of two approaches: a combination of meanline loss models enhanced with real gas fluid properties and 3D CFD computations, taking into account the entire turbomachine including the scroll housing, the vaneless gap, the turbine wheel and the axial discharge pipe. A detailed analysis of the flow field through the turbomachine is carried out, both under design and off design conditions, with a particular focus on the entropy field in order to evaluate the loss distribution between the scroll housing, the vaneless gap and the turbine wheel.
Coupled CFD-DEM simulation of oscillatory particle-laden fluid flow through a porous metal foam heat exchanger: Mitigation of particulate fouling
Publisher: Elsevier BV
Date: 04-2018
Two-Layer Red Blood Cell Membrane Model Using the Discrete Element Method
Publisher: Trans Tech Publications, Ltd.
Date: 07-2016
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.846.270
Abstract: The red blood cell (RBC) membrane consists of a lipid bilayer and spectrin-based cytoskeleton, which enclose haemoglobin-rich fluid. Numerical models of RBCs typically integrate the two membrane components into a single layer, preventing investigation of bilayer-cytoskeleton interaction. To address this constraint, a new RBC model which considers the bilayer and cytoskeleton separately is developed using the discrete element method (DEM). This is completed in 2D as a proof-of-concept, with an extension to 3D planned in the future. Resting RBC morphology predicted by the two-layer model is compared to an equivalent and well-established composite (one-layer) model with excellent agreement for critical cell dimensions. A parametric study is performed where area reduction ratio and spring constants are varied. It is found that predicted resting geometry is relatively insensitive to changes in spring stiffness, but a shape variation is observed for reduction ratio changes as expected.
CFD Convective Flow Simulation of the Varying Properties of CO2-H2O Mixtures in Geothermal Systems
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/843068
Abstract: Numerical simulation of a geothermal reservoir, modelled as a bottom-heated square box, filled with water-CO 2 mixture is presented in this work. Furthermore, results for two limiting cases of a reservoir filled with either pure water or CO 2 are presented. Effects of different parameters including CO 2 concentration as well as reservoir pressure and temperature on the overall performance of the system are investigated. It has been noted that, with a fixed reservoir pressure and temperature, any increase in CO 2 concentration leads to better performance, that is, stronger convection and higher heat transfer rates. With a fixed CO 2 concentration, however, the reservoir pressure and temperature can significantly affect the overall heat transfer and flow rate from the reservoir. Details of such variations are documented and discussed in the present paper.
Numerical investigation of motion and deformation of a single red blood cell in a stenosed capillary
Publisher: World Scientific Pub Co Pte Lt
Date: 08-2015
DOI: 10.1142/S0219876215400034
Abstract: It is generally assumed that influence of the red blood cells (RBCs) is predominant in blood rheology. The healthy RBCs are highly deformable and can thus easily squeeze through the smallest capillaries having internal diameter less than their characteristic size. On the other hand, RBCs infected by malaria or other diseases are stiffer and so less deformable. Thus it is harder for them to flow through the smallest capillaries. Therefore, it is very important to critically and realistically investigate the mechanical behavior of both healthy and infected RBCs which is a current gap in knowledge. The motion and the steady state deformed shape of the RBCs depend on many factors, such as the geometrical parameters of the capillary through which blood flows, the membrane bending stiffness and the mean velocity of the blood flow. In this study, motion and deformation of a single two-dimensional RBC in a stenosed capillary is explored by using smoothed particle hydrodynamics (SPH) method. An elastic spring network is used to model the RBC membrane, while the RBC's inside fluid and outside fluid are treated as SPH particles. The effect of RBC's membrane stiffness (k b ), inlet pressure (P) and geometrical parameters of the capillary on the motion and deformation of the RBC is studied. The deformation index, RBC's mean velocity and the cell membrane energy are analyzed when the cell passes through the stenosed capillary. The simulation results demonstrate that the k b , P and the geometrical parameters of the capillary have a significant impact on the RBCs' motion and deformation in the stenosed section.
Modelling of Red Blood Cell Morphological and Deformability Changes during In-Vitro Storage
Publisher: MDPI AG
Date: 04-05-2020
DOI: 10.3390/APP10093209
Abstract: Storage lesion is a critical issue facing transfusion treatments, and it adversely affects the quality and viability of stored red blood cells (RBCs). RBC deformability is a key indicator of cell health. Deformability measurements of each RBC unit are a key challenge in transfusion medicine research and clinical haematology. In this paper, a numerical study, inspired from the previous research for RBC deformability and morphology predictions, is conducted for the first time, to investigate the deformability and morphology characteristics of RBCs undergoing storage lesion. This study investigates the evolution of the cell shape factor, elongation index and membrane spicule details, where applicable, of discocyte, echinocyte I, echinocyte II, echinocyte III and sphero-echinocyte morphologies during 42 days of in-vitro storage at 4 °C in saline-adenine-glucose-mannitol (SAGM). Computer simulations were performed to investigate the influence of storage lesion-induced membrane structural defects on cell deformability and its recoverability during optical tweezers stretching deformations. The predicted morphology and deformability indicate decreasing quality and viability of stored RBCs undergoing storage lesion. The loss of membrane structural integrity due to the storage lesion further degrades the cell deformability and recoverability during mechanical deformations. This numerical approach provides a potential framework to study the RBC deformation characteristics under varying pathophysiological conditions for better diagnostics and treatments.
Mobilization of trapped oil droplet in porous media through viscoelasticity
Publisher: AIP Publishing
Date: 09-2023
DOI: 10.1063/5.0163902
Modeling of mass transfer enhancement in a magnetofluidic micromixer
Publisher: AIP Publishing
Date: 06-2019
DOI: 10.1063/1.5093498
Abstract: The use of magnetism for various microfluidic functions such as separation, mixing, and pumping has been attracting great interest from the research community as this concept is simple, effective, and of low cost. Magnetic control avoids common problems of active microfluidic manipulation such as heat, surface charge, and high ionic concentration. The majority of past works on micromagnetofluidic devices were experimental, and a comprehensive numerical model to simulate the fundamental transport phenomena in these devices is still lacking. The present study aims to develop a numerical model to simulate transport phenomena in microfluidic devices with ferrofluid and fluorescent dye induced by a nonuniform magnetic field. The numerical results were validated by experimental data from our previous work, indicating a significant increase in mass transfer. The model shows a reasonable agreement with experimental data for the concentration distribution of both magnetic and nonmagnetic species. Magnetoconvective secondary flow enhances the transport of nonmagnetic fluorescent dye. A subsequent parametric analysis investigated the effect of the magnetic field strength and nanoparticle size on the mass transfer process. Mass transport of the fluorescent dye is enhanced with increasing field strength and size of magnetic particles.
Pulmonary aerosol transport and deposition analysis in upper 17 generations of the human respiratory tract
Publisher: Elsevier BV
Date: 06-2017
Euler-Lagrange Prediction of Diesel-Exhaust Polydisperse Particle Transport and Deposition in Lung: Anatomy and Turbulence Effects
Publisher: Springer Science and Business Media LLC
Date: 27-08-2019
DOI: 10.1038/S41598-019-48753-6
Abstract: In clinical assessments, the correlation between atmospheric air pollution and respiratory damage is highly complicated. Epidemiological studies show that atmospheric air pollution is largely responsible for the global proliferation of pulmonary disease. This is particularly significant, since most Computational Fluid Dynamics (CFD) studies to date have used monodisperse particles, which may not accurately reflect realistic inhalation patterns, since atmospheric aerosols are mostly polydisperse. The aim of this study is to investigate the anatomy and turbulent effects on polydisperse particle transport and deposition (TD) in the upper airways. The Euler-Lagrange approach is used for polydisperse particle TD prediction in both laminar and turbulent conditions. Various anatomical models are adopted to investigate the polydisperse particle TD under different flow conditions. Rossin-Rammler diameter distribution is used for the distribution of the initial particle diameter. The numerical results illustrate that airflow rate distribution at the right lung of a realistic model is higher than a non-realistic model. The CFD study also shows that turbulence effects on deposition are higher for larger diameter particles than with particles of smaller diameter. A significant amount of polydisperse particles are also shown to be deposited at the tracheal wall for CT-based model, whereas particles are mostly deposited at the carinal angle for the non-realistic model. A comprehensive, polydisperse particle TD analysis would enhance understanding of the realistic deposition pattern and decrease unwanted therapeutic aerosol deposition at the extrathoracic airways.
Preliminary design and performance estimation of radial inflow turbines: An automated approach
Publisher: ASME International
Date: 03-2012
DOI: 10.1115/1.4006174
Abstract: A comprehensive one-dimensional meanline design approach for radial inflow turbines is described in the present work. An original code was developed in Python that takes a novel approach to the automatic selection of feasible machines based on pre-defined performance or geometry characteristics for a given application. It comprises a brute-force search algorithm that traverses the entire search space based on key non-dimensional parameters and rotational speed. In this study, an in-depth analysis and subsequent implementation of relevant loss models as well as selection criteria for radial inflow turbines is addressed. Comparison with previously published designs, as well as other available codes, showed good agreement. S le (real and theoretical) test cases were trialed and results showed good agreement when compared to other available codes. The presented approach was found to be valid and the model was found to be a useful tool with regards to the preliminary design and performance estimation of radial inflow turbines, enabling its integration with other thermodynamic cycle analysis and three-dimensional blade design codes.
Quantified dense gas conical diffuser performance under uncertainties by flow characteristic analysis
Publisher: Elsevier BV
Date: 10-2019
A novel design for faster hydrogen storage: A combined semi-cylindrical and central return tube heat exchanger
Publisher: Elsevier BV
Date: 11-2023
Evaluation of power block arrangements for 100MW scale concentrated solar thermal power generation using top-down design
Publisher: Author(s)
Date: 2017
DOI: 10.1063/1.4984382
Influence of multiscale surface roughness on permeability in fractures
Publisher: American Physical Society (APS)
Date: 03-02-2022
Assessment of turbine performance variability in response to power block design decisions for SF6 and CO2 solar thermal power plants
Publisher: Elsevier BV
Date: 08-2018
Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles
Publisher: Elsevier BV
Date: 05-2019
A coupled SPH-DEM approach to model the interactions between multiple red blood cells in motion in capillaries
Publisher: Springer Science and Business Media LLC
Date: 20-11-2016
Assessment of polymer feedback coupling approaches in simulation of viscoelastic fluids using the lattice Boltzmann method
Publisher: Elsevier BV
Date: 10-2022
A numerical investigation of drug extravasation using a tumour–vasculature microfluidic device
Publisher: Springer Science and Business Media LLC
Date: 23-11-2018
3D CFD simulations of a candidate R143a radial-inflow turbine for geothermal power applications
Publisher: American Society of Mechanical Engineers
Date: 28-07-2014
Abstract: Optimisation of Organic Rankine Cycles (ORCs) for binary cycle applications could play a major role in determining the competitiveness of low to moderate renewable sources. An important aspect of the optimisation is to maximise the turbine output power for a given resource. This requires careful attention to the turbine design notably through numerical simulations. Challenges in the numerical modelling of radial-inflow turbines using high-density working fluids still need to be addressed in order to improve the turbine design and better optimise ORCs. This paper presents preliminary 3D numerical simulations of a radial-inflow turbine working with high-density fluids in realistic geothermal ORCs. Following extensive investigation of the operating conditions and thermodynamic cycle analysis, the refrigerant R143a is chosen as the high-density working fluid. The 1D design of the candidate radial-inflow turbine is presented in details. Furthermore, commercially-available software Ansys-CFX is used to perform preliminary steady-state 3D CFD simulations of the candidate R143a radial-inflow turbine at the nominal operating condition. The real-gas properties are obtained using the Peng-Robinson equations of state. The thermodynamic ORC cycle is presented. The preliminary design created using dedicated radial-inflow turbine software Concepts-Rital is discussed and the 3D CFD results are presented and compared against the meanline analysis.
Near-wall turbulent pressure diffusion modeling and influence in three-dimensional secondary flows
Publisher: ASME International
Date: 14-09-2007
DOI: 10.1115/1.2723811
Abstract: The purpose of this paper is to develop a second-moment closure with a near-wall turbulent pressure diffusion model for three-dimensional complex flows, and to evaluate the influence of the turbulent diffusion term on the prediction of detached and secondary flows. A complete turbulent diffusion model including a near-wall turbulent pressure diffusion closure for the slow part was developed based on the tensorial form of Lumley and included in a re-calibrated wall-normal-free Reynolds-stress model developed by Gerolymos and Vallet. The proposed model was validated against several one-, two, and three-dimensional complex flows.
Particle-Based Numerical Modelling of Liquid Marbles: Recent Advances and Future Perspectives
Publisher: Springer Science and Business Media LLC
Date: 07-12-2021
Effect of boundary-conditions in shock-wave/turbulent-boundary-layer interaction computations
Publisher: American Institute of Aeronautics and Astronautics
Date: 23-06-2003
DOI: 10.2514/6.2003-3465
CFD simulations of flow and heat transfer through the porous interface of a metal foam heat exchanger
Publisher: American Society of Mechanical Engineers
Date: 28-07-2014
Abstract: This paper offers numerical modelling of a waste heat recovery system. A thin layer of metal foam is attached to a cold plate to absorb heat from hot gases leaving the system. The heat transferred from the exhaust gas is then transferred to a cold liquid flowing in a secondary loop. Two different foam PPI (Pores Per Inch) values are examined over a range of fluid velocities. Numerical results are then compared to both experimental data and theoretical results available in the literature. Challenges in getting the simulation results to match those of the experiments are addressed and discussed in detail. In particular, interface boundary conditions specified between a porous layer and a fluid layer are investigated. While physically one expects much lower fluid velocity in the pores compared to that of free flow, capturing this sharp gradient at the interface can add to the difficulties of numerical simulation. The existing models in the literature are modified by considering the pressure gradient inside and outside the foam. Comparisons against the numerical modelling are presented. Finally, based on experimentally-validated numerical results, thermo-hydraulic performance of foam heat exchangers as waste heat recovery units is discussed with the main goal of reducing the excess pressure drop and maximising the amount of heat that can be recovered from the hot gas stream.
Oblique shock-wave/boundary-layer interaction using near-wall Reynolds-stress models
Publisher: American Institute of Aeronautics and Astronautics
Date: 23-06-2003
DOI: 10.2514/6.2003-3466
Identifying Complex lncRNA/Pseudogene–miRNA–mRNA Crosstalk in Hormone-Dependent Cancers
Publisher: MDPI AG
Date: 09-10-2021
Abstract: The discovery of microRNAs (miRNAs) has fundamentally transformed our understanding of gene regulation. The competing endogenous RNA (ceRNA) hypothesis postulates that messenger RNAs and other RNA transcripts, such as long non-coding RNAs and pseudogenes, can act as natural miRNA sponges. These RNAs influence each other’s expression levels by competing for the same pool of miRNAs through miRNA response elements on their target transcripts, thereby modulating gene expression and protein activity. In recent years, these ceRNA regulatory networks have gained considerable attention in cancer research. Several studies have identified cancer-specific ceRNA networks. Nevertheless, prior bioinformatic analyses have focused on long-non-coding RNA-associated ceRNA networks. Here, we identify an extended ceRNA network (including both long non-coding RNAs and pseudogenes) shared across a group of five hormone-dependent (HD) cancers, i.e., prostate, breast, colon, rectal, and endometrial cancers, using data from The Cancer Genome Atlas (TCGA). We performed a functional enrichment analysis for differentially expressed genes in the shared ceRNA network of HD cancers, followed by a survival analysis to determine their prognostic ability. We identified two long non-coding RNAs, nine genes, and seventy-four miRNAs in the shared ceRNA network across five HD cancers. Among them, two genes and forty-one miRNAs were associated with at least one HD cancer survival. This study is the first to investigate pseudogene-associated ceRNAs across a group of related cancers and highlights the value of this approach to understanding the shared molecular pathogenesis in a group of related diseases.
Numerical simulations of particle deposition in metal foam heat exchangers
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2013
DOI: 10.1142/S2047684113500164
Abstract: Australia is a high-potential country for geothermal power with reserves currently estimated in the tens of millions of petajoules, enough to power the nation for at least 1000 years at current usage. However, these resources are mainly located in isolated arid regions where water is scarce. Therefore, wet cooling systems for geothermal plants in Australia are the least attractive solution and thus air-cooled heat exchangers are preferred. In order to increase the efficiency of such heat exchangers, metal foams have been used. One issue raised by this solution is the fouling caused by dust deposition. In this case, the heat transfer characteristics of the metal foam heat exchanger can dramatically deteriorate. Exploring the particle deposition property in the metal foam exchanger becomes crucial. This paper is a numerical investigation aimed to address this issue. Two-dimensional (2D) numerical simulations of a standard one-row tube bundle wrapped with metal foam in cross-flow are performed and highlight preferential particle deposition areas.
How microplastics are transported and deposited in realistic upper airways?
Publisher: AIP Publishing
Date: 06-2023
DOI: 10.1063/5.0150703
Abstract: Microplastics are tiny plastic debris in the environment from industrial processes, various consumer items, and the breakdown of industrial waste. Recently, microplastics have been found for the first time in the airways, which increases the concern about long-term exposure and corresponding impacts on respiratory health. To date, a precise understanding of the microplastic transport to the airways is missing in the literature. Therefore, this first-ever study aims to analyze the microplastic transport and deposition within the upper lung airways. A computational fluid dynamics-discrete phase model approach is used to analyze the fluid flow and microplastic transport in airways. The sphericity concept and shape factor values are used to define the non-spherical microplastics. An accurate mesh test is performed for the computational mesh. The numerical results report that the highly asymmetric and complex morphology of the upper airway influences the flow fields and microplastic motion along with the flow rate and microplastic shape. The nasal cavity, mouth-throat, and trachea have high pressure, while a high flow velocity is observed at the area after passing the trachea. The flow rates, shape, and size of microplastics influence the overall deposition pattern. A higher flow rate leads to a lower deposition efficiency for all microplastic shapes. The nasal cavity has a high deposition rate compared to other regions. The microplastic deposition hot spot is calculated for shape and size-specific microplastic at various flow conditions. The findings of this study and more case-specific analysis will improve the knowledge of microplastic transport in airways and benefit future therapeutics development. The future study will be focused on the effect of various microplastic shapes on the human lung airways under the healthy and diseased airways conditions.
Renewable hydrogen production using non-potable water: Thermal integration of membrane distillation and water electrolysis stack
Publisher: Elsevier BV
Date: 03-2023
A coarse-grained multiscale model to simulate morphological changes of food-plant tissues undergoing drying
Publisher: Royal Society of Chemistry (RSC)
Date: 2019
DOI: 10.1039/C8SM01593G
Abstract: The design and force interaction field of coarse-grained multiscale model to study the morphological behaviour of plant tissues during drying.
Contribution to single-point closure Reynolds-stress modelling of inhomogeneous flow
Publisher: Springer Science and Business Media LLC
Date: 07-2004
A data-driven smoothed particle hydrodynamics method for fluids
Publisher: Elsevier BV
Date: 11-2021
A Novel Experimental Method to Assess Particle Deposition in Idealized Porous Channels
Publisher: Informa UK Limited
Date: 13-09-2017
Particle size distribution effects on preferential deposition areas in metal foam wrapped tube bundle
Publisher: Elsevier BV
Date: 12-2014
Investigation of red blood cell mechanical properties using AFM indentation and coarse-grained particle method
Publisher: Springer Science and Business Media LLC
Date: 12-2017
CFD simulation of a supercritical carbon dioxide radial-inflow turbine, comparing the results of using real gas equation of estate and real gas property file
Publisher: Trans Tech Publications, Ltd.
Date: 07-2016
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.846.85
Abstract: The present study explores CFD analysis of a supercritical carbon dioxide (SCO 2 ) radial-inflow turbine generating 100kW from a concentrated solar resource of 560oC with a pressure ratio of 2.2. Two methods of real gas property estimations including real gas equation of estate and real gas property (RGP) file - generating a required table from NIST REFPROP - were used. Comparing the numerical results and time consumption of both methods, it was shown that equation of states could insert a significant error in thermodynamic property prediction. Implementing the RGP table method indicated a very good agreement with NIST REFPROP while it had slightly more computational cost compared to the RGP table method.
Optimisation Methods for Coupled Thermodynamic and 1D Design of Radial-Inflow Turbines
Publisher: American Society of Mechanical Engineers
Date: 03-08-2014
Abstract: Optimisation is a fundamental step in the turbine design process, especially in the development of non-classical designs of radial-inflow turbines working with high-density fluids in low-temperature Organic Rankine Cycles (ORCs). The present work discusses the simultaneous optimisation of the thermodynamic cycle and the one-dimensional design of radial-inflow turbines. In particular, the work describes the integration between a 1D meanline preliminary design code adapted to real gases and the performance estimation approach for radial-inflow turbines in an established ORC cycle analysis procedure. The optimisation approach is split in two distinct loops the inner operates on the 1D design based on the parameters received from the outer loop, which optimises the thermodynamic cycle. The method uses parameters including brine flow rate, temperature and working fluid, shifting assumptions such as head and flow coefficients into the optimisation routine. The discussed design and optimisation method is then validated against published benchmark cases. Finally, using the same conditions, the coupled optimisation procedure is extended to the preliminary design of a radial-inflow turbine with R143a as working fluid in realistic geothermal conditions and compared against results from commercially-available software RITAL from Concepts-NREC.
Electrohydrodynamic viscous fingering of leaky dielectric fluids in a channel
Publisher: AIP Publishing
Date: 03-2023
DOI: 10.1063/5.0140068
Abstract: Viscous fingering is a commonly observed interfacial instability during fluid displacement, where a fingerlike shape is formed at the fluid interface when a more viscous fluid is displaced by a less viscous fluid. In this study, a hybrid numerical model based on the lattice Boltzmann method and finite difference method is developed for investigating the control of viscous fingering of leaky dielectric fluids confined in a channel using electrohydrodynamics. Extensive simulations are carried out for studying the effects of the strength and direction of the electric field as well as the fluid properties, including the permittivity ratio and conductivity ratio, on viscous fingering. It is shown that a horizontal electric field, i.e., when the direction of the electrical field is perpendicular to the direction of fluid motion, can either promote or suppress the viscous fingering, depending on the permittivity ratio and conductivity ratio. For a vertical electric field, the extent of promotion of viscous fingering first decreases and then increases with the increase in conductivity ratio at a constant permittivity ratio. Also, various interfacial morphologies, such as broad fingers and thin jets, are observed under different fluid properties. A phase diagram for both the horizontal and vertical electric field is established based on the simulations with different permittivity and conductivity ratios to characterize the interfacial morphologies. This study offers insight into the electrohydrodynamic effects on the viscous fingering of leaky dielectric fluids, which could facilitate the control of multiphase flow in various applications, such as enhanced oil recovery and coupled chromatographic systems for separation.
The stress-strain relationship of liquid marbles under compression
Publisher: AIP Publishing
Date: 28-01-2019
DOI: 10.1063/1.5079438
Abstract: Liquid marbles can be characterized using elastic solid models consisting of a liquid surrounded by a soft solid membrane. The elastic properties of liquid marbles determine the amount of compression under a given external force. This is an important property as the elasticity of liquid marbles determines their morphology under a given stress. We show that the stress-strain relationship of liquid marbles can be described by σ*Bo=0.6[1/(1−εhro)2−1], where Bo is the Bond number, σ* is the normalised stress, and εhr0 is the strain measured with respect to the equivalent radius of the liquid marble. This stress-strain relationship could pave the way for the development of microfluidic devices with robust liquid marbles.
Conserving elastic turbulence numerically using artificial diffusivity
Publisher: American Physical Society (APS)
Date: 12-07-2022
Geometry dependence of viscoelastic instabilities through porous media
Publisher: AIP Publishing
Date: 02-2023
DOI: 10.1063/5.0138184
Abstract: Viscoelastic instabilities are notoriously sensitive to their geometrical environment. Consequently, understanding the onset and general behavior of viscoelastic instabilities in geometrically complex applications where viscoelastic fluids naturally occur, such as porous media, is far from a trivial task. To this aim, this study numerically investigates the geometrical dependence of viscoelastic instabilities through confined one-dimensional channel arrays of circular pore contractions of ideal (i.e., symmetrical) and non-ideal (i.e., asymmetrical) pore configurations. At low elasticity, we demonstrate that the viscoelastic instability behavior in all geometries is the same as it was previously reported in ideal pore geometries, which can be characterized by a gradual loss of the well-defined symmetry in the velocity streamline plots, as well as the buildup of secondary vortices. However, at higher elasticity, we observe the transition into strong transient behavior, whereby the flow in all pore geometries experiences the multistability phenomenon reported by Kumar et al. [“Numerical investigation of multistability in the unstable flow of a polymer solution through porous media,” Phys. Rev. Fluids 6, 033304 (2021)]. Interestingly, it is shown that the viscoelastic instability response is the strongest for the most non-ideal pore geometry, which not only has the fastest transition time but also produces the most chaotic flow fluctuations, characterized by a broadband spectrum. Ultimately, we demonstrate that the viscoelastic instability response in each pore geometry adheres to the Pakdel–McKinley criterion for elastic instability, specifically the streamline curvature and elastic stress anisotropy.
Pore-scale modeling of multiphase flow in porous media using a conditional generative adversarial network (cGAN)
Publisher: AIP Publishing
Date: 12-2022
DOI: 10.1063/5.0133054
Abstract: Multiphase flow in porous media is involved in various natural and industrial applications, including water infiltration into soils, carbon geosequestration, and underground hydrogen storage. Understanding the invasion morphology at the pore scale is critical for better prediction of flow properties at the continuum scale in partially saturated permeable media. The deep learning method, as a promising technique to estimate the flow transport processes in porous media, has gained significant attention. However, existing works have mainly focused on single-phase flow, whereas the capability of data-driven techniques has yet to be applied to the pore-scale modeling of fluid–fluid displacement in porous media. Here, the conditional generative adversarial network is applied for pore-scale modeling of multiphase flow in two-dimensional porous media. The network is trained based on a data set of porous media generated using a particle-deposition method, with the corresponding invasion morphologies after the displacement processes calculated using a recently developed interface tracking algorithm. The results demonstrate the capability of data-driven techniques in predicting both fluid saturation and spatial distribution. It is also shown that the method can be generalized to estimate fluid distribution under different wetting conditions and particle shapes. This work represents the first effort at the application of the deep learning method for pore-scale modeling of immiscible fluid displacement and highlights the strength of data-driven techniques for surrogate modeling of multiphase flow in porous media.
Theoretical modelling of momentum transfer function of bi-disperse porous media
Publisher: Elsevier BV
Date: 2015
Preliminary and robust design analysis of a solar thermal power block
Publisher: American Society of Mechanical Engineers
Date: 13-06-2016
DOI: 10.1115/GT2016-57172
Abstract: Australia is endeavouring to expand the mix of power resources, and is investing heavily in the development of renewable generation methods such as concentrated solar thermal power. In these systems, the power block and turbine need to maintain high efficiency under non-ideal conditions away from the design point. Literature shows that there is a clear relationship between the selection of fluids, the design of the operating cycle, the fluctuation in operating conditions and changes in power block performance. It is thus important for innovative power block designs to consider the performance of the system as a whole rather than by component, mainly turbine design, cycle development and economic analysis. However, there are few works that consider the coupling of multidisciplinary design and robust design to turbine-fluid selection and economic analysis for realistic systems. Furthermore, existing methodologies for robust optimisation often do not consider the effects of high-density gas properties on the performance of the power block. It is also critical that a power generation system produces ideal economic outcomes that meet a number of key performance indicators including levelised cost of electricity. Therefore, this paper develops a preliminary multidisciplinary design and robust design approach applied to turbine-fluid selection and economic analysis of a solarthermal power block. In this work, an Organic Rankine Cycle using novel working fluids for a solarthermal power system is developed. Integrating robust optimisation into the development of the power block is key to push efficiency further and guarantee power block feasibility when running at non-ideal conditions. A preliminary multidisciplinary optimisation is applied to design the complete power block concept such that the power block operates at peak performance across multiple analysis approaches.
Interaction pressure tensor on high-order lattice Boltzmann models for nonideal fluids
Publisher: American Physical Society (APS)
Date: 28-06-2019
A coarse-grained red blood cell membrane model to study stomatocyte-discocyteechinocyte morphologies
Publisher: Public Library of Science (PLoS)
Date: 19-04-2019
Influence of electrode reactions on electroosmotic flow and ion transport in a microchannel
Publisher: Springer Science and Business Media LLC
Date: 03-08-2023
Turbulent dense gas flow characteristics in swirling conical diffuser
Publisher: Elsevier BV
Date: 06-2017
Three-dimensional off-design numerical analysis of an organic Rankine cycle radial-inflow turbine
Publisher: Elsevier BV
Date: 12-2014
Analysis of particle-laden fluid flows, tortuosity and particle-fluid behaviour in metal foam heat exchangers
Publisher: Elsevier BV
Date: 11-2017
Numerical investigation of the temporal evolution of particulate fouling in metal foams for air-cooled heat exchangers
Publisher: Elsevier BV
Date: 12-2016
Candidate radial-inflow turbines and high-density working fluids for geothermal power systems
Publisher: Elsevier BV
Date: 07-2011
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