活塞式凸轮发动机配气阀多目标优化设计
来源期刊：中南大学学报(自然科学版)2012年第9期
论文作者：徐勤超 王树宗 练永庆
文章页码：3444 - 3449
关键词：热力学；活塞凸轮动机；配气阀；多目标优化；遗传算法
Key words：thermodynamics; cam piston engine; working gas distribution valve; multi-objective optimization; genetic algorithm
摘 要：为了对大航深、多速制条件下活塞式凸轮发动机配气阀结构参数进行优化，利用瞬态的分析方法，建立活塞式凸轮发动机配气阀配气模型及缸内热力过程的数学模型。分别选取不同深度和速制条件下的燃料消耗率作为优化目标，利用遗传算法对配气阀结构参数进行多目标优化。算例优化结果表明：优化后的配气阀结构有效降低了发动机在大航深、多速制条件下的平均进气压强，且发动机的经济性达到综合最优，目标函数较优化前降低6.505%；设计的优化方法及结果可为大航深、多速制活塞式凸轮发动机的配气阀设计提供参考。
Abstract: In order to optimize valve mechanism of cam piston engine in the condition of large depth and multi-speed, the instantaneous state analysis method was used to model the working process of valve mechanism and the thermal process in cylinder. The fuel consumption rate was chosen as optimum objective in the condition of different depths and different speeds, and the genetic algorithm was used to optimize the parameters of valve mechanism. The results show that the mean working medium obtained in pressure in cylinder decreases effectively and the economy performance of engine which achieves compositive optimization increases by 6.505% when the valve mechanism is optimized. The optimizing design and the optimizing results can be referred to valve mechanism design of large depth and multi-speed cam piston engine.
徐勤超，王树宗，练永庆
(海军工程大学 海军兵器新技术应用研究所，湖北 武汉，430033)
摘 要：为了对大航深、多速制条件下活塞式凸轮发动机配气阀结构参数进行优化，利用瞬态的分析方法，建立活塞式凸轮发动机配气阀配气模型及缸内热力过程的数学模型。分别选取不同深度和速制条件下的燃料消耗率作为优化目标，利用遗传算法对配气阀结构参数进行多目标优化。算例优化结果表明：优化后的配气阀结构有效降低了发动机在大航深、多速制条件下的平均进气压强，且发动机的经济性达到综合最优，目标函数较优化前降低6.505%；设计的优化方法及结果可为大航深、多速制活塞式凸轮发动机的配气阀设计提供参考。
关键词：热力学；活塞凸轮动机；配气阀；多目标优化；遗传算法
XU Qin-chao, WANG Shu-zong, LIAN Yong-qing
(Naval Research Institute of New Weaponry Technology and Application, Naval University of Engineering,
Wuhan 430033, China)
Abstract:In order to optimize valve mechanism of cam piston engine in the condition of large depth and multi-speed, the instantaneous state analysis method was used to model the working process of valve mechanism and the thermal process in cylinder. The fuel consumption rate was chosen as optimum objective in the condition of different depths and different speeds, and the genetic algorithm was used to optimize the parameters of valve mechanism. The results show that the mean working medium obtained in pressure in cylinder decreases effectively and the economy performance of engine which achieves compositive optimization increases by 6.505% when the valve mechanism is optimized. The optimizing design and the optimizing results can be referred to valve mechanism design of large depth and multi-speed cam piston engine.
Key words:thermodynamics; cam piston engine; working gas distribution valve; multi-objective optimization; genetic algorithm
