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chenariyan-nakhaee--muhammad
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Developing an Artificial Intelligence Algorithm for Diagnosis and Prognosis of Failures
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmood (Supervisor) ; Fattahi, Omid (Co-Advisor)
Abstract
Prognostics is necessary to ensure the reliability and safety of lithium-ion batteries for hybrid electric vehicles or satellites. This process can be achieved by capacity estimation, which is a direct fading indicator for assessing the state of health of a battery. However, the capacity of a lithium-ion battery onboard is difficult to monitor. This paper presents a data-driven approach for capacity estimation. First, new features are extracted from cyclic charge/discharge cycles and used as health indicators. Three algorithms are used to characterize the relationship between extracted features and battery capacity. Decision tree, random forest and boosting algorithms are trained using a...
Dynamic analysis of a 3-link biped model to investigate the rgo assisted paraplegic gait
, Article Mobile Robotics: Solutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009, 9 September 2009 through 11 September 2009, Istanbul ; 2010 , Pages 1121-1127 ; 9789814291262 (ISBN) ; Farahmand, F ; Sharif University of Technology
2010
Abstract
A 3D dynamic model with 3 segments and 5 degrees of freedom (DOF) was developed to simulate the gait of a paraplegic patient while wearing a rigid orthosis. The equations of motion were formulated based on Denavit-Hartenberg notation and solved using a combined forward-inverse dynamics approach assuming locked knees, passive hips and actuated pelvis joints. Results showed that the model could take a single step in response to a sinusoidal motion applied to the pelvis joints. It was concluded that a paraplegic patient is able to walk with proper immobilization of the paralyzed joints and appropriate maneuver of the trunk, without the need to a propulsion supply from hands through crutches
Studying the effect of kinematical pattern on the mechanical performance of paraplegic gait with reciprocating orthosis
, Article Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine ; Volume 226, Issue 8 , 2012 , Pages 600-611 ; 09544119 (ISSN) ; Farahmand, F ; Salarieh, H ; Sharif University of Technology
SAGE
2012
Abstract
Paraplegic users of mechanical walking orthoses, e.g. advanced reciprocating gait orthosis (ARGO), often face high energy expenditure and extreme upper body loading during locomotion. We studied the effect of kinematical pattern on the mechanical performance of paraplegic locomotion, in search for an improved gait pattern that leads to lower muscular efforts. A three-dimensional, four segment, six-degrees-of-freedom skeletal model of the advanced reciprocating gait orthosis-assisted paraplegic locomotion was developed based on the data acquired from an experimental study on a single subject. The effect of muscles was represented by ideal joint torque generators. A response surface analysis...
Van Fraassen, Structuralism and Newman's Objection
, M.Sc. Thesis Sharif University of Technology ; Akbari Takhtameshlou, Javad (Supervisor)
Abstract
In the philosophical debate between scientific realism and anti-realism, some philosophers have proposed a third path, known as structural realism. According to this view, the only real part of scientific theories is their structural aspect. Structural realism, however, has faced Newman's objection from the beginning, which poses a serious challenge to the position: one cannot endorse structural realism while remaining indifferent to Newman’s critique. Van Fraassen, an empiricist and prominent defender of anti-realism, has presented his version of structuralism, rooted in his anti-realist stance. Van Fraassen claims that this version of structuralism can withstand Newman's objection. In this...
Accurate analytical model for determination of effective diffusion coefficient of polymer electrolyte fuel cells by designing compact Loschmidt cells
, Article Fuel ; Volume 199 , 2017 , Pages 551-561 ; 00162361 (ISSN) ; Abbasi, M ; Mansouri, M ; Kazemi, A ; Nakhaee, A ; Daryasafar, A ; Sharif University of Technology
Elsevier Ltd
2017
Abstract
Effective diffusion coefficient is an important parameter which needs to be determined in different fields of study, such as cathode catalyst layers of PEM fuel. For this purpose, a Loschmidt diffusion cell can be used. When a porous medium is placed in Loschmidt apparatus, the effective gas diffusion coefficient (EGDC) of this section must be correlated by diffusion coefficient in absence of a porous medium. In the previous researches studying the Loschmidt diffusion cell, a simplifying infinite-length assumption was used in the analytical solution. Therefore, the solution is only applicable for a short time range, and this can result in high error. In order to overcome this challenge, the...
Repurposing the drug, ivermectin, in COVID-19: toxicological points of view
, Article European Journal of Medical Research ; Volume 27, Issue 1 , 2022 ; 09492321 (ISSN) ; Mirzaei, R ; Nakhaee, S ; Nejatian, A ; Ghafari, S ; Mehrpour, O ; Sharif University of Technology
BioMed Central Ltd
2022
Abstract
The global COVID-19 pandemic has affected the world’s population by causing changes in behavior, such as social distancing, masking, restricting people’s movement, and evaluating existing medication as potential therapies. Many pre-existing medications such as tocilizumab, ivermectin, colchicine, interferon, and steroids have been evaluated for being repurposed to use for the treatment of COVID-19. None of these agents have been effective except for steroids and, to a lesser degree, tocilizumab. Ivermectin has been one of the suggested repurposed medications which exhibit an in vitro inhibitory activity on SARS-CoV-2 replication. The most recommended dose of ivermectin for the treatment of...
Simulation and Data Reconciliation of a Green Diesel Production Unit
, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
Data reconciliation is a model-based method for reducing errors in measured variables within a system by leveraging process redundancy information and estimating the values of unmeasured observable variables. The model used in data reconciliation can take the form of a linear, bilinear, or nonlinear model, depending on the type of measured variables in the system. The goal of this research is to develop a suitable software package for steady-state linear data reconciliation in chemical plants, incorporating concepts of linear algebra and QR decomposition. After investigation, analysis, and simulation of the green diesel production unit in the Aspen Plus environment, the performance of the...
Interaction of nanoparticles with motile gyrotactic microorganisms in a Darcy-Forchheimer magnetohydrodynamic flow- A numerical study
, Article Heliyon ; Volume 9, Issue 7 , 2023 ; 24058440 (ISSN) ; Tayebi, T ; Ali, K ; Malekshah, E. H ; Ahmad, S ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
The present work aims to interpret the mass and heat transferal flow through Darcy Forchheimer porous medium involving, simultaneously, microorganisms and nanoparticles. The involvement of gyrotactic microorganisms in the flow of nanoparticles reinforces the thermal characteristics of several energy systems. The amalgamation of microorganisms (microbes) in the nanofluids not only enhances the thermal properties of the fluid but it also causes the stability in the flow. Some other prominent effects such as chemical reaction and heat generation have also been taken into account. The reduced form of the governing model equations is further simplified in order to obtain the algebraic system of...
Dynamics of shape factor with Joule heating and thermal stratification on magnetohydrodynamic Al2O3-Cu-TiO2/H2O nanofluid of stretching disk: an irreversibility analysis
, Article Journal of Thermal Analysis and Calorimetry ; 2024 ; 13886150 (ISSN) ; Mahmood, Z ; Muhammad, T ; Alqahtani, H ; Shaaban, A. A ; Sharif University of Technology
2024
Abstract
There is great potential for improving the efficiency and sustainability of many industrial processes, including advanced cooling systems and aerospace applications, by understanding the dynamics of shape factor in magnetohydrodynamic (MHD) Al2O3-Cu-TiO2/H2O nanofluid on a stretching disk as a function of Joule heating and thermal stratification. Given the aforementioned applications, the primary aim of the present study is to examine the entropy analysis pertaining to the hydromagnetic radiative stagnation point flow of a ternary nanofluid. This flow is facilitated by a stretching disk that possesses various characteristics, including shape factor, variable viscosity, thermal...
Heat transfer in radiative hybrid nanofluids over moving sheet with porous media and slip conditions: Numerical analysis of variable viscosity and thermal conductivity
, Article Materials Today Communications ; Volume 40 , 2024 ; 23524928 (ISSN) ; Rafique, K ; Khan, U ; Muhammad, T ; Alballa, T ; Khalifa, H.A.E.W ; Sharif University of Technology
2024
Abstract
Our current numerical investigation aims to estimate the thermal transport properties of hybrid nanofluids on a moving surface that is being shrinked horizontally. The hybrid nanoparticles consist of alumina (Al2O3) and copper (Cu), suspended in water as the base fluid. The transportation phenomenon takes place in a Darcy-Forchheimer medium, which is a porous material that exhibits thermal radiation, variable viscosity, variable thermal conductivity, Joule heating, viscous dissipation, and the effects of velocity and thermal slip conditions. The governing partial differential equations (PDEs) are converted using suitable similarity transformations into non-linear ordinary differential...
Numerical investigation of tangent hyperbolic stagnation point flow over a stretching cylinder subject to solutal and thermal stratified conditions
, Article Journal of Thermal Analysis and Calorimetry ; Volume 150 , 2024 , pages 2897–2907 ; 13886150 (ISSN) ; Gana, S ; Muhammad, T ; Aoudia, M ; Kolsi, L ; Ahmad, Z ; Sharif University of Technology
Springer
2024
Abstract
Tangent hyperbolic fluid (THF) is frequently used in mathematical modeling and simulations of fluid dynamics, particularly in multiple industrial applications, such as the study of polymers, biological fluids, colloids, material science, chemical engineering, biological mechanics, and heat transmission. The stagnation point flow of MHD (magnetohydrodynamics) THF across a stretching cylinder is studied in the current investigation. The flow has been observed under the consequences of chemical reactions, heat radiation, heat generation/absorption, activation energy, and Joule heating. The flow is also subject to solutal and thermal stratified conditions and porous medium. The modeled equations...
Exploring concentration-dependent transport properties on an unsteady Riga plate by incorporating thermal radiation with activation energy and gyrotactic microorganisms
, Article Applied Rheology ; Volume 34, Issue 1 , 2024 ; 16178106 (ISSN) ; Mahmood, Z ; Rafique, K ; Khan, U ; Muhammad, T ; Kolsi, L ; Sharif University of Technology
De Gruyter Brill
2024
Abstract
The aim of this study is to examine the entropy generation (EG) associated with the transfer of mass and heat in a concentration-dependent fluid with thermal radiation and activation energy, specifically in the context of an unsteady Riga Plate with gyrotactic microorganism. It is important to solve the ordinary differential equations generated from the controlling partial differential equations using Lie symmetry scaling to verify their quality and reliability. The system's anticipated physical behavior is compared to Mathematica's Runge-Kutta-Fehlberg numerical solution. Source parameters are essential for validation since they offer accurate results. Methodically change these values as a...
Unsteady MHD flow analysis of hybrid nanofluid over a shrinking surface with porous media and heat generation: Computational study on entropy generation and Bejan number
, Article International Journal of Heat and Fluid Flow ; Volume 107 , 2024 ; 0142727X (ISSN) ; Mahmood, Z ; Khan, U ; Muhammad, T ; Mir, A ; Aich, W ; Kolsi, L ; Sharif University of Technology
2024
Abstract
The use of hybrid nanofluids in real-world situations is essential for enhancing the efficiency of heat transmission, especially in cooling semiconductor technology and industrial processes. The entropy generation on unsteady Al2O3-Cu/H2O hybrid nanofluid flow over a three-dimensional shrinking sheet is addressed numerically in this study, taking into account the effects of magnetohydrodynamic (MHD), nonlinear thermal radiation, porous media, heat generation, viscous dissipation, joule heating, and convective conditions. Using well-known non-similarity transformations, the model is carefully converted from partial differential equations (PDEs) to ordinary differential equations (ODEs)....
Entropy analysis of Hall effect with variable viscosity and slip conditions on rotating hybrid nanofluid flow over nonlinear radiative surface
, Article Materials Today Communications ; Volume 39 , 2024 ; 23524928 (ISSN) ; Mahmood, Z ; Ali, B ; Khan, U ; Muhammad, T ; Becheikh, N ; Kolsi, L ; Sharif University of Technology
2024
Abstract
Purpose: With possible uses in engineering and industrial processes, this work aims to further our knowledge of fluid dynamics and heat transfer in complicated flow configurations. This study looks at how Al2O3−Cu/H2O hybrid nanofluids move across a nonlinear radiative 3D unsteady surface. It tries to figure out what happens when the Hall current, variable viscosity, viscous dissipation, velocity and thermal slip conditions work together. The goal of this analysis is to provide insight into the system's thermodynamic behavior and the ways in which these elements affect the flow's entropy generation. Methodology: The controlling system is converted into nonlinear nondimensional partial...
Radiative nanofluid flow over a slender stretching Riga plate under the impact of exponential heat source/sink
, Article Open Physics ; Volume 22, Issue 1 , 2024 ; 23915471 (ISSN) ; Farooq, M ; Nasrat, M. K ; Bilal, M ; Muhammad, T ; Ghachem, K ; Sharif University of Technology
2024
Abstract
Recognizing the flow behaviours across a Riga plate can reveal information about the aerodynamic efficiency of aircraft, heat propagation, vehicles, and other structures. These data are critical for optimizing design and lowering drag. Therefore, the purpose of the current analysis is to examine the energy and mass transfer across the mixed convective nanofluid flows over an extending Riga plate. The fluid flow is deliberated under the influences of viscous dissipation, exponential heat source/sink, activation energy, and thermal radiation. The Buongiorno's concept is utilized for the thermophoretic effect and Brownian motion along with the convective conditions. The modelled are simplified...
Novel design of artificial intelligence-based neural networks for the dynamics of magnetized chemically reactive darcy–forchheimer nanofluid flow
, Article Journal of Thermal Analysis and Calorimetry ; Volume 149, Issue 24 , 2024 , Pages 15243-15276 ; 13886150 (ISSN) ; Shah, Z ; Zahoor Raja, M. A ; Azeem Khan, W ; Muhammad, T ; Ali, M ; Sharif University of Technology
2024
Abstract
This study explores the intricate interaction of thermal radiation, chemical reactions, Brownian motion, and thermophoresis on heat and mass transfer within a magnetic nanofluid, flowing over a porous stretching surface. Current models in the literature are limited in their ability to account for the complex dynamics governing this process, particularly with respect to nonlinear variations in fluid momentum, temperature, and mass diffusion. To overcome these limitations, we propose an enhanced approach utilizing the Darcy–Forchheimer fluidic model (DFM), which integrates these nonlinear effects and addresses both momentum and mass diffusion. Our model is distinct in its application of...
Impact of length and radius of carbon nanotubes on flow and heat transfer in converging and diverging channels with entropy generation
, Article Case Studies in Thermal Engineering ; Volume 58 , 2024 ; 2214157X (ISSN) ; Rehman, R ; Ullah, B ; Wahab, H. A ; Khan, U ; Muhammad, T ; Kolsi, L ; Ghazouani, N ; Sharif University of Technology
2024
Abstract
This research examines the complex interplay between the carbon nanotubes' length and radius and how that affects flow patterns, heat transfer properties, and entropy creation in both convergent and divergent channels. Our research elucidates the mechanisms at play by revealing a crucial link between carbon nanotube dimensions and the efficacy of heat transfer processes. In particular, carbon nanotubes with a longer length have better heat transmission properties, while carbon nanotubes with a smaller radius generate less entropy. From microfluidics to energy-efficient materials, these results show significant promise for optimizing thermal systems and improving performance. This research...
Supervised Stochastic Approach for computational analysis of convectively heated magnetized nanofluid flow with bioconvection aspects
, Article Alexandria Engineering Journal ; Volume 98 , 2024 , Pages 130-146 ; 11100168 (ISSN) ; Bilal, S ; Raja, M. A. Z ; Khan, W. A ; Haider, R. Z ; Javeed, S ; Muhammad, T ; Sharif University of Technology
2024
Abstract
Our study delves into the dynamics of a convective Magneto-Hydrodynamic Bioconvective Nanofluid model (MHD-BCNFM) flowing over a convectively heated stretched sheet. To accomplish this, we utilize the distinctive capabilities of the Supervised Stochastic Approach for Computational Analysis (SSACA). By integrating similarity transformations, we convert the partial differential equations (PDEs) governing the system into coupled ordinary differential equations (ODEs). We generate the dataset for our approach using the Adam numerical technique specifically tailored for the (MHD-BCNFM). Achieving this involves systematic modulation of parameters such as λ, bioconvection Péclet number Pe,...
Experimental investigations of the performance of a flat-plate solar collector using carbon and metal oxides based nanofluids
, Article Energy ; Volume 227 , 2021 ; 03605442 (ISSN) ; Montazer, E ; Kazi, S. N ; Soudagar, M. E. M ; Ahmed, W ; Zubir, M. N. M ; Afzal, A ; Muhammad, M. R ; Ali, H. M ; Márquez, F. P. G ; Sarsam, W. S ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Covalently functionalized carbon nanoplatelets and non-covalent functionalized metal oxides nanoparticles (surfactant-treated) have been used to synthesize water-based nanofluids in this paper. To prove nanofluid stability, ultraviolet–visible (UV–vis) spectroscopy is used, and the results show that nanofluid is stable for sixty days for carbon and thirty days for metal oxides. The thermophysical properties are evaluated experimentally and validated with theoretical models. Thermal conductivities of f-GNPs, SiO2, and ZnO nanofluids are enhanced by 25.68%, 11.49%, and 15.42%, respectively. Lu-Li and Bruggeman's thermal conductivity models are correctly matched with the experimental data....
Experimental investigations of the performance of a flat-plate solar collector using carbon and metal oxides based nanofluids
, Article Energy ; Volume 227 , 2021 ; 03605442 (ISSN) ; Montazer, E ; Kazi, S. N ; Soudagar, M. E. M ; Ahmed, W ; Zubir, M. N. M ; Afzal, A ; Muhammad, M. R ; Ali, H. M ; Márquez, F. P. G ; Sarsam, W. S ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Covalently functionalized carbon nanoplatelets and non-covalent functionalized metal oxides nanoparticles (surfactant-treated) have been used to synthesize water-based nanofluids in this paper. To prove nanofluid stability, ultraviolet–visible (UV–vis) spectroscopy is used, and the results show that nanofluid is stable for sixty days for carbon and thirty days for metal oxides. The thermophysical properties are evaluated experimentally and validated with theoretical models. Thermal conductivities of f-GNPs, SiO2, and ZnO nanofluids are enhanced by 25.68%, 11.49%, and 15.42%, respectively. Lu-Li and Bruggeman's thermal conductivity models are correctly matched with the experimental data....