焊接
材料科学
残余应力
人工神经网络
变形(气象学)
沟槽(工程)
压力(语言学)
结构工程
有限元法
残余物
复合材料
机械工程
冶金
计算机科学
人工智能
工程类
算法
语言学
哲学
作者
Fangfang Liu,Congcong Tao,Zuomin Dong,Kun Jiang,Shouzhen Zhou,Zhihang Zhang,Chen Shen
标识
DOI:10.1016/j.mtcomm.2021.102786
摘要
Evaluating the welding residual stress and deformation in a reasonable and reliable way is the perquisite of ensuring the quality of weldments. Therefore, in this paper, an artificial neural network model is developed for the prediction of welding residual stress and deformation produced in Electro-gas welding using C++ language. The plate thickness, groove angle, groove clearance, welding current, cooling type and the welding material have been considered as the input parameters, the residual stress and deformation as output parameters in the structure of the model. The comparison between the neural network predictions and finite element analysis results indicates that the established neural network model is sufficiently accurate and efficient in predicting the residual stress and deformation. Additionally, a human-computer interaction interface software based on Qt environment is designed and implemented, aiming to obtain the prediction results in real time.
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