Enhancement of the mechanical characteristics for Inconel 700 alloy using friction stir welding with a unique tool shape

Q1 Engineering
Ibrahim Sabry , Omar Awayssa , Abdel-Hamid I. Mourad , Majid Naseri , Ahmed Hewidy
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引用次数: 0

Abstract

For the first time, a systematic study of the influence of tool geometry on the friction stir welding (FSW) process of Inconel 700 through response surface methodology (RSM) for modeling purposes was investigated. The tool design implemented two distinct pin probe geometries: a threaded pin with three intermittent flat faces (D1) and a fully threaded cylindrical pin (D2). The present study primarily examines the effects of these varying pin geometries on FSW performance in Inconel 700 joints. Additionally, experimental analyses, i.e., Vickers hardness number (VHN), ultimate tensile strength (UTS), and surface roughness (SR), were conducted to evaluate key mechanical properties. The response surface methodology (RSM) was evaluated as a suitable approach for determining the weld properties, with mathematical models achieving confidence levels of 93 % and 98 % for the D1 and D2 tool configurations, respectively. Meanwhile, the D1 pin geometry produced superior mechanical properties, i.e., UTS from 630 to 662 MPa, VHN from 93 to 110 HV, and improved surface finish compared to the D2 configuration, highlighting the design's effectiveness in enhancing FSW joint quality.
采用独特的工具形状搅拌摩擦焊接,提高了Inconel 700合金的机械性能
本文首次采用响应面法(RSM)对Inconel 700搅拌摩擦焊接过程中刀具几何形状的影响进行了系统研究。该工具设计实现了两种不同的针探头几何形状:具有三个间歇平面的螺纹针(D1)和全螺纹圆柱形针(D2)。本研究主要考察了这些不同的销形对Inconel 700接头FSW性能的影响。此外,还进行了实验分析,即维氏硬度值(VHN)、极限抗拉强度(UTS)和表面粗糙度(SR),以评估关键力学性能。响应面法(RSM)被评价为确定焊缝性能的合适方法,D1和D2工具配置的数学模型分别达到93%和98%的置信度。与此同时,与D2结构相比,D1销形结构产生了卓越的机械性能,即UTS从630到662 MPa, VHN从93到110 HV,并且表面光洁度得到改善,突出了该设计在提高FSW连接质量方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Lightweight Materials and Manufacture
International Journal of Lightweight Materials and Manufacture Engineering-Industrial and Manufacturing Engineering
CiteScore
9.90
自引率
0.00%
发文量
52
审稿时长
48 days
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