Distortion minimization of laser beam welded components by the use of finite element simulation and Artificial Intelligence
Distortion minimization of laser beam welded components by the use of finite element simulation and Artificial Intelligence
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DOI：
10.1016/j.cirpj.2019.10.001
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发表时间：
2019-11-01
影响因子：
4.8
通讯作者：
Zaeh, M. F.
中科院分区：
文献类型：
--
作者：
Belitzki, A.;Stadter, C.;Zaeh, M. F.
焊接部件通常需要付出昂贵的努力来补偿热引起的变形。这通常是通过施加特定的预变形或通过返工，例如通过热矫直来完成的。这些方法不适用于连接复杂结构。因此，提出了一种能够使具有多个焊缝的复杂框架结构的变形最小化的方法。利用人工神经网络建立元模型，根据子区域内的焊接参数对局部变形进行预测。采用遗传算法有效地找到适合全局结构的焊接参数。结果表明，该方法能够有效、可靠地从10亿个潜在参数组合中识别出最小失真参数。(c) 2019 cirp。
Welded components often require costly efforts to compensate for the thermally induced distortions. This is usually done by applying a specific pre-deformation or by reworking, for example by thermal straightening. These approaches are not practicable for joining complex structures. Therefore, a method that is capable of minimizing the distortions of a complex frame structure with multiple welds is presented. A meta-model by means of an Artificial Neural Network is used to predict the local distortions depending on the welding parameters within sub-areas. A genetic algorithm is utilized to efficiently find suitable welding parameters for the global structure. It could be shown that by applying the method, distortion minimized parameters from more than one billion potential parameter combinations are identified both efficiently and reliably. (C) 2019 CIRP.