Optimized Design of Muffler Based on Genetic Algorithm

摘要：

In research into muffler optimization, 2 or 3 types of mufflers, which are most suitable for production units, are selected from the thousands of possible models after numerical simulation. As the calculation for the numerical simulation is too large, it is difficult to achieve it under normal circumstances. To solve this problem, the best evaluation function of muffler performance is built after the first introduction of genetic algorithm. Using the genetic algorithm features of the global optimal solution method (overall optimal solution) needs to calculate more than 60 models and then select 2 or 3 kinds of the most suitable mufflers in thousands of possible ones to meet the needs of production units. And after actual inspection, the mufflers will achieve comprehensive optimization in silencer performance, aerodynamic performance, mechanical strength and convenience of maintenance, geometry and structure rigidity etc., which saves the cost and time of numerical simulation.

关键词： genetic algorithm muffler numerical simulation

作者: CHENG Genyin YU Shengchen CHEN Shaojie WEI Zhiyong ZHANG Xiaochen

作者单位: School of Safety Engineering,North China Institute of Science and Technology, Yanjiao Beijing 101601 School of computer Engineering, North China Institute of Science and Technology, Yanjiao Beijing 101 Scientific Research Institute of Labour and Production Beijing, Beijing 100054, China

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 2586-2590

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）