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| Warpage Optimization for Injection Molding Based on Kriging Metamodel |
| CHEN Wei1，ZHOU Xionghui1，ZHANG Ruzhen1，HAN Xianhong1，WANG Huifeng2 |
| (1.National Die & Mold CAD Engineering Center, Shanghai Jiaotong University, Shanghai 200030， China；2.School of Materials, Beijing University of Science and Technology, Beijing 100083, China) |
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Abstract Compared with the traditional processing optimization for injection molding based on CAE, Kriging metamodel has better fitting precision for nonlinear problem. An integrated optimization strategy based on Kriging metamodel and adaptive particle swarm optimization (APSO) algorithm was constructed. Kriging metamodel was adopted to replace CAE analysis as a fitness function of particle swarm optimization(PSO) algorithm, and the computation cost can be reduced greatly. Meanwhile, adaptive inertial weight coefficient was introduced to PSO algorithm, and the convergence rate of PSO can be accelerated. It is shown that the optimization strategy based on Kriging metamodel and APSO can get higher solving accuracy, the optimization strategy also has higher computation efficiency compared with standard genetic algorithm.
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Received: 11 May 2009
Published: 29 April 2010
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