Particle Swarm Optimization for the Evaluation of Cross-section Contour error of Variation Elliptical Piston Skirt
With the rapid development of internal combustion engines (ICE) industry, the cross-section contour of variation elliptical piston skirt is widely used in order to achieve better mechanical and thermodynamics performances which the cross-section elliptic degree is diverse in the highness direction and the axis section contour is convex curve. Because of its complex form its geometrical precision evaluation is a difficult problem. Particle swarm optimization (PSO) that is based on two fundamental disciplines (social science and computer science) is proposed to implement the minimum zone evaluation of the cross-section contour error of variation elliptical piston skirt and the particle velocity is modified by constriction factor approach. Then, the design formula of the cross-section contour of variation elliptical piston is given and its objective function calculation approach using PSO to solve the minimum zone error of cross-section contour is developed which conforms to the ISO/1101 standard. Finally, the experimental results evaluated by PSO, the least square method (LSM) and improved genetic algorithm (IGA) confirm the effectiveness of PSO and it improves the cross-section contour error evaluation accuracy of variation elliptical piston skirt.
variation elliptical piston skirt complex contour error minimum zone evaluation particle swarm optimization
Xiu-lan Wen Yi-bing Zhao Feng-lin Wang Dong-xia Wang
Automation Department Nanjing Institute of Technology Nanjing 211167, China
国际会议
太原
英文
1-5
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）