Optimum Engine Parameter Design by Using Genetic Algorithm

• Main Authors: Yine-tse Shih, 石英哲
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/79252769663474214973

碩士 === 義守大學 === 機械與自動化工程學系碩士班 === 96 === The study of this thesis is to optimize the best thermal efficiency of an 4-stroke internal combustion by using t genetic algorithm. We have developed thermodynamic model of the engine cycle. By varying many design parameters (like pre-ignition angle, burning angle, equivalence ratio), we can obtain their corresponding thermal efficiencies. The integration of genetic algorithm to our numerical model renders to select a best thermal efficiency parameter design. The genetic algorithm is embedded in the Matlab/Gatool software The current study can be used as a simulation tool for the efficiency evaluation of the preliminary engine design.