【摘要】 论述人工神经网络和遗传算法在板料拉深成形工艺优化中的应用,利用人工神经网络建立拉深工艺参数与零件厚度相对误差之间关系的数学模型,用遗传算法对工艺参数进行优化。其中由正交法设计得到实验样本,由数值模拟软件计算得出的厚度同实际成形件厚度进行比较,得到零件厚度相对误差,将其作为优化目标。按优化后的工艺参数进行实验,获得较高质量的拉深制件,从而为优化拉深模工艺参数提供了一种行之有效的方法。更多还原

【Abstract】 The application of artificial neural network and genetic algorithm on processing optimization of sheet metal drawing was discussed.The mathematics model between the process parameters of drawing and the relative thickness errors of the part was set up with neural network.The process parameters were optimized with genetic algorithm.Experimental samples were got by orthogonal plan method,the relative thickness errors of the parts were got by comparing the thickness of numerical simulation and the real thickness of the parts and they were taken as the goal of optimizing.Tests were made with optimizing parameters,the superior quality part was obtained.It provides a kind of effectual means for setting up and controlling parameters of drawing.更多还原