利用 GRA-GWO 混合技术优化哈氏合金 C276 线材 ARC 增材制造工艺参数的一些研究

V. Rajkumar, X. Ajay Vasanth, A. Rajesh Kannan, N. Siva Shanmugam
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摘要

线弧快速成型制造(WAAM)已成为当今十年不可或缺的制造技术。本文讨论了通过 WAAM 制造哈氏合金 C276 的工艺变量优化问题。控制参数为气体流速(GFR)、熔敷速度和焊接电流,而熔透深度、顶部加固和焊珠宽度则是优化考虑的输出参数。方差分析结果表明,控制参数之间的交互影响程度与单个参数对焊缝特性的影响程度相当。灰色关系分析显示了通过稳健优化程序选择的最佳参数(试验 1,I = 120 A,S = 200 mm/min,GFR = 15 L/min)。信噪比分析显示了影响最大的因子参数(电流等级 1,速度等级 1)。灰狼优化器(GWO)算法被用作精确和确认实验。GWO 优化结果进一步证实,15 升/分钟的 GFR、200 毫米/分钟的速度和 120 安培的电流是该设计空间的优化参数。此外,误差极小(约 1%)的正态概率图也证明,在该设计空间中选择的参数完全在最佳范围内。曲面图显示了控制因素和结果因素之间的关系和变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some studies on optimization of process parameters for wire ARC additive manufacturing of Hastelloy C276 using GRA-GWO hybrid techniques
Wire arc additive manufacturing (WAAM) has become an inevitable manufacturing technology in the present decade. This article discusses optimizing process variables for fabricating Hastelloy C276 alloy via WAAM. The controlling parameters are gas flow rate (GFR), deposition speed, and welding current, while the depth of penetration, top reinforcement, and bead width are the output parameters considered for optimization. The magnitude of interaction effects between control parameters is equal to that of individual impact on the weld bead characteristics evident from analysis of variance results. Grey relational analysis revealed the optimal parameters (trial 1 with I = 120 A, S = 200 mm/min, GFR = 15 L/min) chosen through its robust optimization procedure. S/N ratio analysis revealed the most influencing parameters at the factor level (current level 1, speed level 1). The Grey Wolf optimizer (GWO) algorithm was used as a precision and confirmation experiment. The GWO optimization results further confirmed that the GFR of 15 L/min, speed of 200 mm/min, and current of 120 A were the optimized parameters used in this design space. Further, normal probability plots with minimal error of around 1% reinforce that the parameters chosen in this design space are well within the optimal limits. The surface plots reported the relationship and variation between control and resulting factors.
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