Cylindricity Errors Evaluation with a Hybrid Optimization Algorithm
Based on the analysis of existent evaluation methods for cylindricity errors, a hybrid evaluation method is provided in this paper. The optimum model and the calculation process are introduced in detail. The hybrid global optimization algorithm based on chaos optimization and simplex search. By the use of the properties of ergodicity, stochastic property, and regularity of chaos, a chaos optimization algorithm (COA) is proposed. The efficiency of COA is much higher than some stochastic algorithms such as simulated anneal algorithm and genetic algorithm （GA ）when COA is used to a kind of continuous problems. The chaos optimization algorithm can improve the efficiency of searching in the whole field by gradually shrinking the area of optimization variable. By integrating simplex search the precision of chaos optimization result is evidently improved. From this, the cylindricity error evaluation is discussed. Finally, a control experiment is carried out, and the simulation result shows that the hybrid evaluation method is feasible and satisfactory in the evaluation of form and position errors.
cylindricity error minimum zone solution chaos optimization evaluation
ZHANG Ke ZHANG Hui
School of Mechanical and Automatic Engineering, Shanghai Institute of Technology, Shanghai 200235 Suzhou Mingzhi Foundry Equipment Co., Ltd., Suzhou 215006
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）