关键词: 快速冷热成形；Taguchi理论；响应曲面法；遗传算法；数据处理；多指标综合评价

Abstract:

By integrating Taguchi method, response surface methodology (RSM), genetic algorithm (GA) and data processing technology, an efficient optimization of process parameters in RHCM was investigated. The main process parameters which influenced on high-gloss surface part quality efficiently were determined firstly. Then a predictive response surface model for comprehensive quality index of part was created using RSM. In order to eliminate the abnormal matrix during the regressing analysis stage, and ensure the high fitness of estimated model as well, the conception of average matrix base was introduced for the first time during the experimental data processing phase. The response surface (RS) model was interfaced with an effective developed GA to find the optimum process parameter values. And a front panel of LCD television was considered as a high-gloss part example which was manufactured by RHCM technology. The case results show that it is feasible and effective.

Key words: RHCM(rapid heat cycling molding), Taguchi method, RSM(response surface methodology), genetic algorithm, data processing, multi-factors comprehensive quality optimization