Multi-Objective Optimization for Weld Track Geometry in Wire-Arc Directed Energy Deposition of ER308L Stainless Steel

Q2 Engineering

Journal of Machine Engineering Pub Date : 2023-05-15 DOI:10.36897/jme/166134

V. C. Nguyen, V. Le, N. Pham, Anh-Thang Nguyen

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Abstract

In this research, the weld track geometry in wire-arc DED (directed energy deposition) of ER308L stainless steel was predicted and optimized. The studied geometrical attributes of weld tracks include weld track width ( WTW ), weld track height ( WTH ), and contact angle ( α ). The experiment was designed based on Taguchi method with three variables (current I , voltage U , and weld velocity v ) and four levels for each variable. The ANOVA was adopted to evaluate the accuracy of the models and impact levels of variables on the responses. The TOPSIS method was utilized to predict the optimal variables. The results indicated that the predicted models were built with high accuracy levels ( R 2 = 98.92%, 98.77%, and 98.91% for WTW , WTH , and α , respectively). Among the studied variables, U features the highest effects on WTW and  with 78.56% and 69.90% of contribution, respectively, while v is the variable that has the most impact on WTH with 39.82% of contribution. The optimal variables predicted by TOPSIS were U = 23 V, I = 140 A, and v = 300 mm/min, which allows building components with stable and regular geometry.

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ER308L不锈钢电弧定向能量沉积焊缝轨迹几何的多目标优化

在本研究中，对ER308L不锈钢丝弧DED（定向能沉积）中的焊缝轨迹几何形状进行了预测和优化。研究的焊缝几何属性包括焊缝宽度（WTW）、焊缝高度（WTH）和接触角（α）。实验基于田口方法设计，有三个变量（电流I、电压U和焊接速度v），每个变量有四个水平。采用方差分析来评估模型的准确性和变量对反应的影响水平。采用TOPSIS方法对最优变量进行预测。结果表明，建立的预测模型具有较高的准确度（WTW、WTH和α的R2分别为98.92%、98.77%和98.91%）。在所研究的变量中，U对WTW和 贡献率分别为78.56%和69.90%，而v是对WTH影响最大的变量，贡献率为39.82%。TOPSIS预测的最佳变量为U=23 V，I=140 A，V=300 mm/min，这使得建筑构件具有稳定和规则的几何形状。

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来源期刊

Journal of Machine Engineering Engineering-Industrial and Manufacturing Engineering

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

25 weeks

期刊介绍： ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.