基于神经网络的注射工艺分析模拟

在一般注射模CAE环境下 ,对某塑件输入一组工艺参数可得出相应的分析结果 ,但如何在不同工艺参数中确定一组值 ,使得工艺条件实现最优化 ,则需建立输入(工艺参数)与输出(分析结果)的对应关系 ,而通过人工神经网络则能反映输入转化成输出的数学表达式。通过对塑件工艺分析的人工神经网络模拟 ,建立了可供工艺优化计算的数学模型。

Analysis and Simulation of the Injection Process Based on Neural Net

Under general CAE circumstances for injection moulds, the corresponding analysis result will be educed after inputting a group of technological data for a plastic part. But if to determine a group of parameters from different technological data so as to optimize the processing condition, the corresponding relations between input (technological data) and output (analysis result) must be established. However, through artificial neural net the mathematical expression expressing the input transforming into the output can be reflected. And the mathematical model for the calculation of the technological process optimization was built through artificial neural net simulation of the technological analysis of the plastic part.