会议专题

Comprehensive Optimization of Injection Parts Quality using Numerical Simulation and Hybrid Intelligence Technology

Due to the coupling and nonlinear relationship between processing variables, it is difficult to achieve the comprehensive optimization of injection part quality effectively only by conventional methods. To solve the problem above, firstly some quality indices were extracted according to the quality requirements of the product and a fuzzy comprehensive evaluation formula including the pertinent indices was used as a mathematical description of injection parts quality. Then an approximate calculation and optimization model was obtained by combining numerical simulation with hybrid intelligence technology. Finally the method discussed above is proved to be feasible and effective by the study of a deep-cavity and shellshape part.

Wei Yang Guang Jin Jun Zheng Xianliang Jiang

College of Mechnical Engineering, Ningbo University of Technology Ningbo, China College of Information Science & Engineering Ningbo University Ningbo, China

国际会议

The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)

杭州

英文

67-72

2010-11-15(万方平台首次上网日期,不代表论文的发表时间)