Loading...
Search for:
chenariyan-nakhaee--muhammad
0.043 seconds
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...
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...
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....