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Optimization and Finite Element Modelling of Powder Segregation during Metal Injection Moulding

机译:金属注射成型过程中粉末偏析的优化及有限元建模

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摘要

Segregation is frequently encountered in injection moulding. In order to eliminate this an optimization method is developed. Firstly a mathematical function is used to model the segregation process. Design of experiments is then used to select the parameters which have most influence on segregation. Four parameters are found to be significant in this respect: Powder volume fraction, Interaction coefficient, Powder density, Binder density. In order to minimize the effect of these parameters on segregation, a generic algorithm is proposed. Coupling simulation results with injection moulding software "FEAPIM" is found to lead to excessively long computer processing times. To shorten this, therefore, the surface response of the four parameters is constructed using the Moving Least Square Approximation method (MLSA). This is found to give a good approximation. The optimization strategy proposed in this paper has been applied to tensile test specimens. Good correlations have been achieved between predictions and experimentally produced components.
机译:在注射成型中经常遇到偏析。为了消除这种情况,开发了一种优化方法。首先,使用数学函数对分离过程进行建模。然后使用实验设计来选择对偏析影响最大的参数。在这方面发现四个参数很重要:粉末体积分数,相互作用系数,粉末密度,粘结剂密度。为了最小化这些参数对隔离的影响,提出了一种通用算法。发现与注塑软件“ FEAPIM”的耦合仿真结果会导致计算机处理时间过长。因此,为了缩短时间,使用移动最小二乘近似法(MLSA)构造了四个参数的表面响应。发现这给出了很好的近似。本文提出的优化策略已应用于拉伸试样。在预测和实验产生的成分之间已经实现了良好的相关性。

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