Novel Multilevel Modelling Framework to Design Advanced Food Drying Process. In this project, a novel multilevel modelling framework for food drying will be developed by integrating the micro, macro, and dryer scale transport process and considering the dynamic changes in the drying environment under the intermittent application of microwave energy (IMCD). This modelling framework will be the first comprehensive scientific tool for industry for developing next-generation food drying systems, whi ....Novel Multilevel Modelling Framework to Design Advanced Food Drying Process. In this project, a novel multilevel modelling framework for food drying will be developed by integrating the micro, macro, and dryer scale transport process and considering the dynamic changes in the drying environment under the intermittent application of microwave energy (IMCD). This modelling framework will be the first comprehensive scientific tool for industry for developing next-generation food drying systems, which are expected to deliver significant improvement in energy efficiency and product quality and reduction in drying time and food waste. Finally, based on the outcomes of the modelling framework, a smart IMCD drying system will be developed to demonstrate the feasibility of the framework in industry application.Read moreRead less
Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge ....Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge for the advancement of microfluidic technologies. The outcomes of this project will establish physical principles to guide the design of microfluidic systems and provide the computational capabilities that can potentially transform the way researchers and engineers design, optimise and use microfluidic technologies.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less
A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory wi ....A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory will lead to more accurate prediction of drying kinetics, deformation and quality changes, and hence the development of efficient drying systems. This project will overcome a longstanding research problem and position Australia at the forefront in world drying research to reap substantial economic benefits for Australia.Read moreRead less
A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive ....Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive manufacturing to enable the end-users to characterize, design and fabricate the next generation of mechanical metamaterials in an effective way. The outcomes of this project offer significant benefits for the long-term and sustainable development of knowledge-based economy in Australia.Read moreRead less
Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101382
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local reso ....Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local resonators coupled with vibration energy harvesting mechanisms and nonlinear electrical circuitry. This will promote the development of next-generation multifunctional metastructures. Knowledge produced should improve the durability of structural components and empower sustainable wireless monitoring with self-powered sensors.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100273
Funder
Australian Research Council
Funding Amount
$407,679.00
Summary
Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe ....Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.Read moreRead less
Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less