Parameter optimization and experimental validation of A-TIG welding of super austenitic stainless steel AISI 904L using response surface methodology

钨极气体保护焊 响应面法 材料科学 焊接 奥氏体不锈钢 中心组合设计 实验设计 惰性气体 冶金 背景(考古学) 复合材料 机械工程 电弧焊 腐蚀 计算机科学 数学 工程类 统计 机器学习 生物 古生物学
作者
Kora T Sunny,Nanda Naik Korra,M. Vasudevan,B. Arivazhagan
出处
期刊:Proceedings Of The Institution Of Mechanical Engineers, Part E: Journal Of Process Mechanical Engineering [SAGE Publishing]
卷期号:236 (6): 2608-2617 被引量:2
标识
DOI:10.1177/09544089221095671
摘要

Super austenitic stainless steel (SASS) is a premium stainless steel (SS) variant which finds applications in challenging environments. One of the premium grades of SS that falls under the said category is AISI 904L. Autogenous activated flux tungsten inert gas (A-TIG) welding is an established technique for fabricating sound steel joints which offers various advantages. In this context, this research aims to identify an optimum set of input process parameters to effectively employ A-TIG welding to fabricate 10 mm thick joints of SASS AISI 904L plates by employing bead on plate welding trials. The input parameters varied for the trials are welding current, torch travel speed, and percentage of Argon gas present in a mixture of Argon and Helium – which is the shielding gas used, while the responses were the depth of weld penetration (DOP) and weld bead width (BW). For finalizing the combinations of input parameters and the run order of the welding trials, the design of experiments (DOE) was performed using central composite design (CCD) of response surface methodology (RSM). After performing the trials, the DOP and BW attained were measured and the data thus generated were analyzed to study the influence of varying input parameters on the two responses. Analysis of variance (ANOVA) was then performed to check the input parameter's level of significance. RSM's desirability approach was used for numerical optimization to attain maximum DOP and a moderate BW. A linear regression equation generated can be used to precisely predict DOP and BW for any random values of input parameters. The bead on plate trial's validation study displayed root mean squared error (RMSE) values of 0.328 and 0.653 for DOP and BW respectively, The RMSE values of DOP and BW of the joint fabricated with optimized parameters was 0 and 0.311 respectively.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
粥粥完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
2秒前
3秒前
西瓜霜完成签到 ,获得积分0
3秒前
乐乐侠发布了新的文献求助20
3秒前
傻傻的夜柳完成签到 ,获得积分10
4秒前
人生如梦完成签到,获得积分10
5秒前
攀攀完成签到,获得积分10
6秒前
小昆虫发布了新的文献求助10
7秒前
张欢馨应助冷傲迎梦采纳,获得10
7秒前
7秒前
匪石完成签到,获得积分10
7秒前
上官若男应助无私的画笔采纳,获得10
8秒前
李法拉发布了新的文献求助10
8秒前
等意送汝发布了新的文献求助10
8秒前
twwm完成签到 ,获得积分10
9秒前
10秒前
jialin完成签到 ,获得积分10
10秒前
12秒前
xing_xing应助youhui采纳,获得80
12秒前
仟111完成签到 ,获得积分10
12秒前
落后的采波完成签到,获得积分10
12秒前
12秒前
15秒前
15秒前
huang发布了新的文献求助10
15秒前
王一然发布了新的文献求助10
15秒前
15秒前
坦率白竹完成签到,获得积分10
15秒前
余小乐发布了新的文献求助10
16秒前
壮观又亦发布了新的文献求助10
18秒前
等意送汝完成签到,获得积分10
18秒前
lxl完成签到,获得积分10
18秒前
科研通AI6.3应助听闻墨笙采纳,获得10
19秒前
20秒前
汤汤杨杨完成签到,获得积分10
20秒前
科研通AI6.2应助qzr采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Fourth Edition 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7587101
求助须知:如何正确求助?哪些是违规求助? 9165510
关于积分的说明 19615773
捐赠科研通 7167587
什么是DOI,文献DOI怎么找? 3266810
关于科研通互助平台的介绍 2431763
邀请新用户注册赠送积分活动 2258648