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Optimization strategy of the multihole products weld lines based on the multi-objective evaluation system and kriging surrogate model

机译:基于多目标评估系统和Kriging代理模型的多孔产品焊接线优化策略

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摘要

The plastic multihole products are widely used in Household Appliance and Automobile industry. The densely distributed weld lines resulting from the multiaperture structure seriously damage the surface appearance and mechanical properties of the products. However, there are relatively few studies on the optimization of weld lines of the plastic multihole products. Therefore, a multihole plate was taken as an example to exploit an optimization strategy for this kind of defects. The multi-objective evaluation system was established to assess bonding quality of weld lines based on Numerical Simulation. And a multi-objective optimization methodology was presented to efficiently optimize the process parameters. First, back propagation neural networks and Kriging method were combined to build the surrogate models based on the experiments arranged by Latin hypercube sampling. Second, a systematic test strategy was proposed to ensure high accuracy of the surrogate model. Then, the pareto optimal solution was obtained by integrating the surrogate model and Non-dominated Sorting Genetic Algorithm II. Finally, the simulated and practical confirmation experiments indicate that bonding quality of weld lines can be effectively characterized and significantly improved by the multi-objective evaluation system and the multi-objective optimization methodology, respectively. POLYM. ENG. SCI., 59:781-790, 2019. (c) 2018 Society of Plastics Engineers
机译:塑料多孔产品广泛用于家用电器和汽车工业。由多消热结构产生的密集焊接线严重损坏了产品的表面外观和机械性能。然而,对塑料多孔产品的焊接线的优化相对较少。因此,采用多孔板作为示例,以利用这种缺陷的优化策略。建立了多目标评估系统,以评估基于数值模拟的焊接线的焊接质量。提出了多目标优化方法,以有效优化工艺参数。首先,将回到传播神经网络和Kriging方法组合以基于由拉丁超立方体采样排列的实验来构建代理模型。其次,提出了一种系统测试策略,以确保替代模型的高精度。然后,通过整合替代模型和非主导的分类遗传算法II来获得帕累托最佳解决方案。最后,模拟和实用的确认实验表明,通过多目标评估系统和多目标优化方法分别可以有效地表征焊接线的粘接质量和显着改善。聚合物。 eng。 SCI。,59:781-790,2019。(c)2018塑料工程师协会

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