An OD and LHS Based Computer Experiments Approach for Complex Relationship Manufacturing Process
Cui Qing-a · Modular Machine Tool & Automatic Manufacturing Technique · 2013
Computer simulation and computer experiments are the main techniques of product design and quality optimization in automatic manufacturing processes.For the manufacturing processes featured w ith the complex nonlinear relationship betw een input factors and output characteristics,this paper proposed a tw o-stage computer experiments approach based on orthogonal design(OD) and Latin hypercube sampling(LHS).Firstly,OD is used to roughly detect the significant fluctuation domains of the output;Secondly,LHS is used in these domains to obtain the sample set;finally,the global fitting model is set up by Kriging method.Theoretical and simulation studies show that,compare with traditional LHS,the distribution of the experimental points can adjust according to the fluctuations of the output,and the prediction performance of the fitting model is increased obviously as w ell.All of these demonstrate the effectiveness of the proposed approach.