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گواهی نمایه سازی مقاله Optimization Design for Geometric Parameters of PEM Fuel cell by Genetic Algorithm and MATLAB Simulink

عنوان مقاله: Optimization Design for Geometric Parameters of PEM Fuel cell by Genetic Algorithm and MATLAB Simulink
شناسه (COI) مقاله: NMEC02_198
منتشر شده در دومین کنفرانس ملی مهندسی ساخت و تولید در سال ۱۳۸۸
مشخصات نویسندگان مقاله:

M.T Masoule - MSc. Student Manufacturing Engineering Group, Mechanical Engineering Department,Mazandaran University, Babol, Iran
M Shakeri - Associate Prof.Manufacturing Engineering Group, Mechanical Engineering Department,Mazandaran University, Babol, Iran
H Nemati - MSc. Student Manufacturing Engineering Group, Mechanical Engineering Department,Mazandaran University, Babol, Iran

خلاصه مقاله:
The performance of PEM fuel cells depends significantly on an appropriate flow field design. In this work, we concentrates on the improvement in performance of the polymer electrolyte membrane fuel cell (PEMFC) through optimization of the channel dimensions. serpentine flow-field design was used for studying the effect of channel dimensions. We use Genetic algorithm to optimization and apply analytical manner as fitness function. Optimum values for each of the dimensions, channel width and channel depth were obtained, 0.6 and 0.5 mm respectively.

کلمات کلیدی:
Genetic algorithm, optimization, PEM fuel cell, Geometric design

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-NMEC02-NMEC02_198.html