Title: Parallelism errors evaluation using a hybrid optimisation algorithm
Authors: Ke Zhang; Sheng-Ze Wang
Addresses: School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai, China. ' Donghua University, College of Mechanical Engineering, Shanghai, China
Abstract: In this paper we present a hybrid evaluation method in order to realise precision measurement of parts, based on the analysis of existent evaluation methods for form and position errors. The hybrid global optimisation algorithm based on particle swarm optimisation and chaos search method is proposed. The optimum model and the calculation process are introduced, where the parallelism error is discussed. The hybrid optimisation algorithm can improve the efficiency and accuracy of searching in the whole field by gradually shrinking the area of optimisation variable. Finally, a control experiment is carried out, and the calculation results by using different method, such as the least square, simplex search, Powell optimum methods and GA, show that the hybrid evaluation method is feasible and satisfactory in the errors evaluation.
Keywords: parallelism errors; error evaluation; hybrid optimisation; particle swarm optimisation; PSO; chaos search; precision measurement; part measurement; position errors; form errors.
International Journal of Computer Applications in Technology, 2012 Vol.44 No.2, pp.152 - 158
Published online: 23 Aug 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article