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首页> 外文期刊>Mechanics Based Design of Structures and Machines >The Development of an Artificial Neural Network Model to Predict Heating-Line Positions for Plate Forming in Induction Heating Process
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The Development of an Artificial Neural Network Model to Predict Heating-Line Positions for Plate Forming in Induction Heating Process

机译:预测感应加热过程中板料成形的加热线位置的人工神经网络模型的开发

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摘要

An artificial neural network model can help manufacturers determine the positions of induction heating lines and their heating parameters to form a desired shape of plate. The vertical displacements of a deformed plate are considered as the input parameters and the selected induction heating lines as output parameters to develop the model. The training patterns of neural network are obtained using an analytical solution that is derived from the plate theory to predict plate deformations in induction heating process. The plastic region in the analytical solution of the angular deformation of a steel plate is obtained from the thermal analysis of the plate with the heat input calculated from the electro-magnetic analysis of the induction heating process.
机译:人工神经网络模型可以帮助制造商确定感应加热线的位置及其加热参数,以形成所需的板形。将变形板的垂直位移视为输入参数,并将选定的感应加热线视为输出参数以建立模型。使用从板理论推导的解析解决方案来预测感应加热过程中板的变形,从而获得神经网络的训练模式。通过对钢板进行热分析,并根据感应加热过程的电磁分析计算出的热输入,可以得出钢板角变形分析溶液中的塑性区域。

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