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Calculations of the heat source parameters on the basis of temperature fields with the use of ANN

机译:利用ANN的温度场计算热源参数的计算

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摘要

In the paper, a method of automatic choice of the boundary conditions is presented. This method allows the initial estimation the value of the boundary conditions during the heating operation for the welding process. The solutions described in this paper can successfully support the work of the specialists performing numerical simulations. They also significantly reduce the time required to estimate the boundary conditions parameters consistent with the actual experiment. The accuracy of the solution in the presented method is not dependent on the empirical models of boundary conditions for the heating process. It is also much more universal. Artificial neural networks after the learning process can be used to perform a reverse analysis for the heat treatment process, for example, to determine the parameters of welding process in the production process of steel elements.
机译:本文介绍了一种自动选择边界条件的方法。 该方法允许初始估计在焊接过程的加热操作期间边界条件的值。 本文描述的解决方案可以成功地支持执行数值模拟的专家的工作。 它们还显着减少了估计与实际实验一致的边界条件参数所需的时间。 呈现方法中解决方案的准确性不依赖于加热过程的边界条件的经验模型。 它也更加普遍。 学习过程之后的人工神经网络可用于对热处理过程进行反向分析,例如,以确定钢元件的生产过程中的焊接过程参数。

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