Prediction of the Superficial Heat Source Parameters for TIG Heating Process Using FEM and ANN Modeling
作者： Joanna Wróbel , Adam Kulawik
DOI: 10.3390/E21100954
关键词:
摘要: The basic problem of the numerical model’s quenching process is establishing characteristics boundary conditions. existing descriptions conditions, which represent parameters equipment used in heat treatment processes, do not accurately reflect actual In present study, method choice for superficial source TIG (tungsten inert gas) heating modeled using artificial neural networks (ANN) and finite element (FEM). A comparison calculations obtained from model non-steady state transfer with results experimental studies presented. possibility ANN to compute conditions analyzed. multilayer feed-forward backpropagation network developed trained value temperature selected nodes simulation.
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