Amir-Babak Ansari

 

 

Ph. D.: Mechanical Engineering, University of Tehran

 

M. Sc.: Mechanical Engineering, Shahid Bahonar University of Kerman

 

B. Sc.: Mechanical Engineering, Shahid Bahonar University of Kerman

 

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Ph. D. Thesis

• Title: Reduced Order Modeling of Lead-Acid Battery.
• Advisor: Dr. Vahid Esfahanian.
• Co-Advisor: Dr. Farschad Torabi.
• Graduation Date: August 27, 2016.
• Abstract
  Among different energy resources, batteries are considered as the main sources of energy especially in hybrid and electric vehicle industries. Lead-acid batteries involve multi-disciplines engineering field and are used for a vast number of purposes due to their lower price, deep cycling, high rate discharge, and recycling. Due to the complexity of batteries, modeling and simulation are useful tools to optimize and analyze the dynamic behavior of lead-acid batteries and better understanding of physical phenomena. One of the main problems is that the governing equations of lead-acid batteries are highly coupled, which significantly increases the computational time of numerical methods in simulations. For this purpose, different models and techniques have been developed including computational fluid dynamics (CFD), equivalent circuit model (ECM) and engineering model (EM). Using reduced order models (ROM) is one of the best ways to overcome this difficulty. In the present study, after presenting a description of numerical difficulties, i.e., satisfaction of compatibility condition, reduced order modeling based on proper orthogonal decomposition (POD) is presented in details and used to simulate lead-acid battery governing equations. In order to show the capability of presented ROM, both 1-D and 2-D simulations are considered. For this purpose, the electrochemical governing equations of lead-acid battery including conservation of charge in solid and liquid phases, conservation of species and conservation of mass and momentum are solved simultaneously during discharge, rest, charge and a cycle using model order reduction based on POD. The results of reduced order model including cell voltage, acid concentration, state of charge (SoC), electrodes porosity and velocity of acid in reservoir show that not only the POD-based ROM of lead-acid battery significantly decreases the computational time (speed-up factor of 20 in 1-D and 60 in 2-D), but also there is excellent agreement with the results of previous computational fluid dynamic models and consequently, the presented model can be used for design, optimization and control purposes.

M. Sc. Thesis

• Title: Analysis of Convection Flow over a Backward-Facing Step in a Duct with Considering Radiative Heat Transfer.
• Advisor: Prof. Seyyed Abdolreza Gandjalikhan Nassab.
• Graduation Date: June 15, 2011.
• Abstract
  In the present study, the forced convection laminar flow of radiating gas over a backward facing step in a duct is analyzed. The fluid is treated as a gray, absorbing, emitting and scattering medium. Since, the two-dimensional Cartesian coordinate system is used to solve the governing equations, the flow over is simulated by considering the Blocked-off region in regular grid. The Navier-stokes and energy equations are solved numerically by the CFD techniques to obtain the velocity and temperature fields. Discretized forms of these equations are obtained by the finite volume method and solved using the SIMPLE algorithm. Since the gas is considered as a radiating media, all of the convection, conduction and radiation heat transfer take place simultaneously in the gas flow. For computation of the radiative term in the gas energy equation, the radiative transfer equation (RTE) is solved numerically by the discrete ordinate method (DOM) to find the radiative heat flux distribution inside the radiating media. The effects of Reynolds number, optical thickness, albedo coefficient and radiation-conduction parameter on heat transfer behavior of the system are also investigated. The numerical results are compared with the available data published in open literature and good agreement is obtained.

B. Sc. Thesis

• Title: Simulation of Cold Extension of Rods by ANSYS and ABAQUS.
• Advisor: Dr. Yaser Taghipoor.
• Graduation Date: June 15, 2008.
• Abstract
  

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