An Optimization Scheme for Part Quality in Injection Molding

Hua Ye, Yinghui Wu, K. K. Wang
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引用次数: 4

Abstract

In this paper, a mathematical definition of part warpage is presented by strain tensors and part quality is quantified via numerical simulation. An objective function of part quality is proposed that must be optimized. The resulting optimum is obtained by iterative search in the constrained space based on an numerical optimization algorithm — Simulated Annealing method, which is a global and robust method. The efficiency of the simulated Annealing method is in between calculus-based methods, such as DFP, BFGS, MFD and common search schemes, such as, simplex and exhaust search method, etc. (Goffe, 1994). The results are shown by a number of numerical examples where the part warpage is significantly reduced after optimization.
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一种注射成型零件质量优化方案
本文用应变张量给出了零件翘曲的数学定义,并通过数值模拟对零件质量进行了量化。提出了零件质量的优化目标函数。基于数值优化算法——模拟退火法,在约束空间中迭代搜索得到最优解,该算法具有全局鲁棒性。模拟退火方法的效率介于基于演算的方法,如DFP、BFGS、MFD和常见的搜索方案,如单纯形和排气搜索方法等(Goffe, 1994)之间。结果表明,优化后的零件翘曲量明显减小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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