Navid Aminnia
M. Sc. Thesis
- Title: Optimization of Pin Type PEM Fuel Cell Flow Channel.
- Advisor: Dr. Farschad Torabi.
- Graduation Date: February 14th 2017.
- Abstract
Fuel cells are energy conversion devices that transform the chemical energy of reactants to electrical energy through electrochemical reactions and have been under lots of attention recently because of their high efficiency and lack of emissions. Polymer Electrolyte Membrane fuel cell is one of the most well known fuel types which has been considered as a suitable enrgy generation device for vehicles and portable electronic devices due to its low working temperature and high energy density. However, using these type of fuel cells is not yet economically feasible, due to many practical reasons such as high production costs. One specific part of PEM fuel cells which has a signifact effect on their performance, life span and final cost, is the flow channel, because it is responsible for bringing the reactants into the cell and emitting the products out of it. Many different flow channel designs such as parallel, serpentine and pin type has been previously presented. Moreover, a myriad of researches have been conducted to optimize the geometrical parameters of the common designs or to introduce new designs inspired by the nature. In the present study inspired by the pin type design, a new approach to optimization of fuel cell flow channels is introduced which is able to provide novel designs, totally different with the previous ones, using metaheuristic optimiztion algoithms. A particle swarm optimization algorithm with specific constraints was implemented into a code and experiments was conducted to find a suitable objective function for the optimization problem. Finally, after considering the reactants concentration uniformity at the bottom surface of the backing layer as the objective function, the optimization operations were run and a design with a performance higher than pin type model was achieved.
B. Sc. Thesis
- Title: Design and Optimization of a Water Distribution Network.
- Advisor: Dr. Shahram Derakhshan .
- Field: Mechanical Engineering, Iran University of Science and Technology
- Graduation Date: August 18, 2013.
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