基于遗传算法的微型燃烧室一维优化设计  

One-dimensional Optimization Design of Micro-combustor Based on Genetic Algorithm

作　　者：闫泽华 雷雨冰[1] 张世权 李峰 YAN Zehua;LEI Yubing;ZHANG Shiquan;LI Feng(College of Energy and Power Engineering,Nanjing University of Aeronautics And Astronautics,Nanjing 210016,China;Beijing Power Machinery Research Institute,Beijing 100074,China)

机构地区：[1]南京航空航天大学能源与动力学院,江苏南京210016 [2]北京动力机械研究所,北京100074

出　　处：《机械制造与自动化》2023年第4期152-155,共4页Machine Building & Automation

摘　　要：在微型发动机燃烧室初步设计方案的基础上,结合流体网络法、化学反应器网络模型法和遗传算法进行微型发动机燃烧室一维优化设计,对微型发动机燃烧室的燃烧效率进行优化,程序可在预定范围内自动调整火焰筒内外双壁面各排孔孔径,在保证总压恢复系数大于95%的前提下使燃烧效率增加1.7%,达到了微型发动机燃烧室的一维优化设计要求。Based on the preliminary design scheme of a certain type of micro-engine combustion chamber,the one-dimensional optimization design of the micro-engine combustion chamber was carried out by combining the fluid network method,the chemical reactor network model method and the genetic algorithm,and the combustion efficiency of the micro-engine combustion chamber was optimized.The design led to the increase of combustion efficiency by 1.7%under the premise that the total pressure recovery coefficient was assured greater than 95%,which reached the one-dimensional optimization design of the micro-engine combustion chamber.

关 键 词：微型发动机 燃烧室 优化设计 遗传算法 

分 类 号：TH122[机械工程—机械设计及理论]