• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Optics & Laser Technology >Optimal design for laser beam butt welding process parameter using artificial neural networks and genetic algorithm for super austenitic stainless steel
【24h】

Optimal design for laser beam butt welding process parameter using artificial neural networks and genetic algorithm for super austenitic stainless steel

机译：基于人工神经网络和遗传算法的激光对焊工艺参数优化设计。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Laser welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld bead geometry, mechanical properties and distortion. Therefore, mechanical properties should be controlled to obtain good welded joints. In this study, the weld bead geometry such as depth of penetration (DP), bead width (BW) and tensile strength (TS) of the laser welded butt joints made of AISI 904L super austenitic stainless steel were investigated. Full factorial design was used to carry out the experimental design. Artificial Neural networks (ANN) program was developed in MatLab software to establish the relationships between the laser welding input parameters like beam power, travel speed and focal position and the three responses DP, BW and TS in three different shielding gases (Argon, Helium and Nitrogen). The established models were used for optimizing the process parameters using Genetic Algorithm (GA). Optimum solutions for the three different gases and their respective responses were obtained. Confirmation experiment has also been conducted to validate the optimized parameters obtained from GA.
机译：激光焊接输入参数在确定焊接接头质量方面起着非常重要的作用。可以根据诸如焊缝几何形状，机械性能和变形之类的属性来定义接头质量。因此，应控制机械性能以获得良好的焊接接头。在这项研究中，研究了AISI 904L超级奥氏体不锈钢制成的激光对接焊缝的焊缝几何形状，例如熔深（DP），焊缝宽度（BW）和抗拉强度（TS）。采用全因子设计进行实验设计。在MatLab软件中开发了人工神经网络（ANN）程序，以建立激光焊接输入参数（如束功率，行进速度和焦点位置）与三种不同保护气体（氩气，氦气和氩气中的三种响应）DP，BW和TS之间的关系。氮）。建立的模型用于使用遗传算法（GA）优化工艺参数。获得了三种不同气体及其各自响应的最佳解决方案。还进行了确认实验，以验证从GA获得的优化参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号