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Prediction and optimization of residual stresses, weld-bead profile and mechanical properties of laser welded components

机译:激光焊接构件残余应力,焊缝轮廓和力学性能的预测和优化

摘要

Recently, laser welding has become a leading industrial joining process. Mainly because it has become highly automated using sophisticated robotic systems. However, to make effective use of automated laser welding it is essential to have a high degree of confidence in predicting the welding outcome. To achieve a desired weld quality, the weldments are normally examined and related to the weld input parameters. This input-output relationship can be in the form of mathematical models that can be programmed and fed to the robotic control system.ududThis work aims to introduce experimentally based mathematical models developed by applying Response Surface Methodology (RSM) using Design-Expert software V7 to relate the residual stress distribution, weld bead parameters, mechanical properties and operating cost to the laser welding input parameters, namely: laser power, welding speed and focal point position. Also, the desirability approach was used in conjunction with RSM to find out the optimal combination of the welding parameters to achieve the required weld quality. In addition to this, microstructural investigation of the welded joints was carried out to study the effect of varying the welding conditions on the microstructure of the Weld zone (WZ) and Heat affected zone (HAZ). Common materials were investigated in this work (i.e.AISI1016, AISI1045 and AISI304) with different thicknesses and joint configurations using a 1.5 kW CW C02 Rofin laser as a welding source and two focusing lenses with focal lengths udof 127 and 190 mm.ududMany models were developed to predict the responses of interest for similar and dissimilar welding. Also, the main effects and the interaction effects of the process parameters on the responses were discussed and presented graphically for all materials and joint configurations. Moreover, by using the developed models the welding process was optimized by determining the optimal combination of the process input parameters at which the desired weld quality can be achieved for each material. Finally, the size and orientation of the solidified structures were related to the welding conditions. It was observed that when the heat input increases the weldbead geometry and the microstructures become bigger and coarser respectively.
机译:最近,激光焊接已成为领先的工业连接过程。主要是因为它已使用复杂的机器人系统实现了高度自动化。但是,要有效利用自动激光焊接,必须对预测焊接结果具有高度的信心。为了达到理想的焊接质量,通常检查焊件并将其与焊缝输入参数相关。这种输入-输出关系可以是可以编程的数学模型的形式,并且可以馈送到机器人控制系统。 ud ud这项工作旨在介绍通过使用Design-Expert应用响应表面方法(RSM)开发的基于实验的数学模型。软件V7将残余应力分布,焊缝参数,机械性能和运行成本与激光焊接输入参数相关联,即:激光功率,焊接速度和焦点位置。此外,将期望方法与RSM结合使用,以找到焊接参数的最佳组合,以达到所需的焊接质量。除此之外,还对焊接接头进行了微结构研究,以研究改变焊接条件对焊接区(WZ)和热影响区(HAZ)的微观结构的影响。在这项工作中,使用1.5 kW CW C02 Rofin激光作为焊接源以及两个焦距分别为udof 127和190 mm的聚焦透镜,研究了具有不同厚度和接头配置的常见材料(即AISI1016,AISI1045和AISI304)。开发了许多模型来预测相似和不相似焊接的兴趣响应。此外,还讨论了过程参数对响应的主要影响和交互作用,并以图形方式显示了所有材料和接头配置。此外,通过使用开发的模型,通过确定工艺输入参数的最佳组合来优化焊接工艺,在该工艺输入参数下可以为每种材料实现所需的焊接质量。最后,凝固组织的尺寸和方向与焊接条件有关。观察到,当热量输入增加时,焊缝的几何形状和显微组织分别变大和变粗。

著录项

  • 作者

    Benyounis Khaled;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 en
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