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Intelligent Optimization Analysis of Residual Strain for Photosensitive Resin

机译:光敏树脂残余应变的智能优化分析

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摘要

In this article, an intelligent optimization analysis method of residual strain for photosensitive resin is put forward based on the finite element analysis. With the methods of orthogonal experiment and radial basis Neural Network, the relationship of the residual strain and solidification technology parameters, such as circumstance temperature, illumination distance and illumination time, is established. A group of reasonable technology parameters is determined by Genetic Algorithm optimization, which can make the residual strain reach its minimum value.
机译:本文基于有限元分析提出了一种光敏树脂残余应变的智能优化分析方法。采用正交试验和径向基神经网络的方法,建立了环境温度,照射距离和照射时间等残余应变与凝固工艺参数的关系。通过遗传算法优化确定了一组合理的工艺参数,可以使残余应变达到最小值。

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