基于遗传算法的斯特林驱动式增压泵优化  

Optimization of Stirling Actuated Booster Pump Based on Genetic Algorithm

作　　者：耿冬寒[1] 金龙 李秀兵 Geng Donghan;Jin Long;Li Xiubing

机构地区：[1]天津工业大学机械工程学院

出　　处：《中国重型装备》2020年第2期30-33,共4页CHINA HEAVY EQUIPMENT

基　　金：国家自然科学基金(51705361)

摘　　要：对自主设计研究的反渗透海水淡化动力装置的驱动装置即β型自由活塞斯特林发动机进行优化。研究发现,影响斯特林发动机功率的因素主要有扫气容积比、温度比、无益容积比和活塞相位角。利用遗传算法全局寻优特点,寻找这四个参数的最佳匹配值,以得到最大功率输出。通过对优化前后的压力-容积图以及数值的对比,发现优化后的斯特林发动机输出功明显提高。β shape free piston Stirling engine,the actuated device of reverse osmosis desalination power plant by independent design and research has been optimized.The result showed that factors affecting Stirling engine power included scavenging volume ratio,temperature ratio,useless volume ratio and piston phase angle.By applying integral optimizing characteristics of genetic algorithm,optimum matching value of the four parameters has been researched to work out maximum power output,furthermore by comparing pressure-volume diagrams and values before and after optimization,it concluded that output work of optimized Stirling engine improved obviously.

关 键 词：自由活塞 斯特林发动机 遗传算法 压力-容积图 输出功 

分 类 号：TH321[机械工程—机械制造及自动化]