ORCID Profile
0000-0002-6309-8688
Current Organisations
University of Electronic Science and Technology of China
,
Tongji University
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Publisher: Springer Science and Business Media LLC
Date: 06-2015
Publisher: SAGE Publications
Date: 2014
DOI: 10.1155/2014/359872
Abstract: The variability of specific heats, internal irreversibility, heat and frictional losses are neglected in air-standard analysis for different internal combustion engine cycles. In this paper, the performance of an air-standard Diesel cycle with considerations of internal irreversibility described by using the compression and expansion efficiencies, variable specific heats, and losses due to heat transfer and friction is investigated by using finite-time thermodynamics. Artificial neural network (ANN) is proposed for predicting the thermal efficiency and power output values versus the minimum and the maximum temperatures of the cycle and also the compression ratio. Results show that the first-law efficiency and the output power reach their maximum at a critical compression ratio for specific fixed parameters. The first-law efficiency increases as the heat leakage decreases however the heat leakage has no direct effect on the output power. The results also show that irreversibilities have depressing effects on the performance of the cycle. Finally, a comparison between the results of the thermodynamic analysis and the ANN prediction shows a maximum difference of 0.181% and 0.194% in estimating the thermal efficiency and the output power. The obtained results in this paper can be useful for evaluating and improving the performance of practical Diesel engines.
Publisher: Springer Science and Business Media LLC
Date: 18-09-2014
Publisher: Elsevier BV
Date: 07-2013
Publisher: World Scientific Pub Co Pte Lt
Date: 15-11-2017
DOI: 10.1142/S1793524517500085
Abstract: The paper provides an analytical investigation, homotopy analysis method (HAM), of the heat and mass transfer for magnetohydrodynamic Oldroyd-B nanofluid flow over a stretching sheet in the presence of convective boundary condition. The PDE governing equations, which consist of equations of continuity, momentum, energy and nanoparticles, are converted to ordinary differential equations using similarity transformations. The current HAM solution demonstrates very good correlation with those of the previously published studies in the special cases. The influences of different flow physical parameters such as the Deborah numbers in terms of relaxation and retardation times ([Formula: see text], [Formula: see text]), magnetic parameter (M), Prandtl number (Pr), Brownian motion parameter (Nb), thermophoresis parameter (Nt), Lewis number (Le), and Biot number (Bi) on the fluid velocity component [Formula: see text], temperature distribution [Formula: see text] and concentration [Formula: see text] as well as the local Nusselt number [Formula: see text] and the local Sherwood number [Formula: see text] are discussed in detail.
Publisher: Elsevier BV
Date: 03-2015
Publisher: Springer Science and Business Media LLC
Date: 31-05-2014
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2014
DOI: 10.1142/S0218625X1450036X
Abstract: In this paper, we present a numerical model based on the widely used finite element formulation to analyze in detail the effect of surface active agents on capillary–gravity wave parameters such as phase velocity and wave litude. Moreover, the effect of a physicochemical parameter, which is the ratio of surface concentration to surface tension is also considered. For a number of fluid s les covering a range of concentrations from 0 to 0.01 molar, the phase speed of waves propagating on the surface of the liquid is found to decrease monotonically as the concentration of the solution considered is increased up to a limit of 0.004 molar. This is attributed to the corresponding increase in capillary number. It is shown numerically that the Marangoni effects contribute to the interfacial dynamics for fluid with physicochemical parameter value greater than 0.5. Moreover, a grid refinement study shows accuracies and convergence orders of the numerical model.
Publisher: Elsevier BV
Date: 2015
Publisher: American Scientific Publishers
Date: 08-2016
Publisher: Elsevier BV
Date: 06-2013
Publisher: Frontiers Media SA
Date: 23-11-2021
DOI: 10.3389/FPHAR.2021.746420
Abstract: The nasal olfactory region is a potential route for non-invasive delivery of drugs directly from the nasal epithelium to the brain, bypassing the often impermeable blood-brain barrier. However, efficient aerosol delivery to the olfactory region is challenging due to its location in the nose. Here we explore aerosol delivery with bi-directional pulsatile flow conditions for targeted drug delivery to the olfactory region using a computational fluid dynamics (CFD) model on the patient-specific nasal geometry. Aerosols with aerodynamic diameter of 1 µm, which is large enough for delivery of large enough drug doses and yet potentially small enough for non-inertial aerosol deposition due to, e.g., particle diffusion and flow oscillations, is inhaled for 1.98 s through one nostril and exhaled through the other one. The bi-directional aerosol delivery with steady flow rate of 4 L/min results in deposition efficiencies (DEs) of 50.9 and 0.48% in the nasal cavity and olfactory region, respectively. Pulsatile flow with average flow rate of 4 L/min (frequency: 45 Hz) reduces these values to 34.4 and 0.12%, respectively, and it mitigates the non-uniformity of right-left deposition in both the cavity (from 1.77- to 1.33-fold) and the olfactory region (from 624- to 53.2-fold). The average drug dose deposited in the nasal cavity and the olfactory epithelium region is very similar in the right nasal cavity independent of pulsation conditions (inhalation side). In contrast, the local aerosol dose in the olfactory region of the left side is at least 100-fold lower than that in the nasal cavity independent of pulsation condition. Hence, while pulsatile flow reduces the right-left (inhalation-exhalation) imbalance, it is not able to overcome it. However, the inhalation side (even with pulsation) allows for relatively high olfactory epithelium drug doses per area reaching the same level as in the total nasal cavity. Due to the relatively low drug deposition in olfactory region on the exhalation side, this allows either very efficient targeting of the inhalation side, or uniform drug delivery by performing bidirectional flow first from the one and then from the other side of the nose.
Publisher: Elsevier BV
Date: 07-2015
Publisher: Public Library of Science (PLoS)
Date: 24-10-2014
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2016
Publisher: Elsevier BV
Date: 03-2017
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/692728
Abstract: A coupled system of nonlinear ordinary differential equations that models the three-dimensional flow of a nanofluid in a rotating channel on a lower permeable stretching porous wall is derived. The mathematical equations are derived from the Navier-Stokes equations where the governing equations are normalized by suitable similarity transformations. The fluid in the rotating channel is water that contains different nanoparticles: silver, copper, copper oxide, titanium oxide, and aluminum oxide. The differential transform method (DTM) is employed to solve the coupled system of nonlinear ordinary differential equations. The effects of the following physical parameters on the flow are investigated: characteristic parameter of the flow, rotation parameter, the magnetic parameter, nanoparticle volume fraction, the suction parameter, and different types of nanoparticles. Results are illustrated graphically and discussed in detail.
Publisher: Informa UK Limited
Date: 12-06-2014
Publisher: Pleiades Publishing Ltd
Date: 05-2018
Publisher: Elsevier BV
Date: 2016
Publisher: Wiley
Date: 11-11-2015
DOI: 10.1002/HTJ.21104
Publisher: Springer Science and Business Media LLC
Date: 26-11-2016
Publisher: Begell House
Date: 2018
Publisher: Elsevier BV
Date: 03-2016
Publisher: MDPI AG
Date: 26-04-2016
DOI: 10.3390/E18050131
Publisher: Elsevier BV
Date: 03-2016
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 11-2014
Location: China
Location: United Kingdom of Great Britain and Northern Ireland
Location: Iran (Islamic Republic of)
No related grants have been discovered for Mohammad Mehdi Rashidi.