Weld defect localization in friction stir welding process

被引：7

作者：

Mishra, Debasish ^{[1
]}

Shree, Sristi ^{[3
]}

Gupta, Abhinav ^{[4
]}

Priyadarshi, Ashok ^{[5
]}

Das, Sarthak M. ^{[6
]}

Pal, Surjya K. ^{[7
]}

Chakravarty, Debashish ^{[8
]}

Pal, Srikanta ^{[4
]}

Chattopadhyay, Tanushyam ^{[2
]}

Pal, Arpan ^{[2
]}

机构：

[1] Indian Inst Technol Kharagpur, Adv Technol Dev Ctr, Kharagpur, W Bengal, India

[2] Tata Consultancy Serv, TCS Res & Innovat, Kolkata, India

[3] Birla Inst Technol Mesra, Dept Comp Sci & Engn, Mesra, India

[4] Birla Inst Technol Mesra, Dept Elect & Commun Engn, Mesra, India

[5] Birla Inst Technol Mesra, Math & Comp, Mesra, India

[6] Birla Inst Technol Mesra, Informat Technol, Mesra, India

[7] Indian Inst Technol Kharagpur, Dept Mech Engn, Kharagpur, W Bengal, India

[8] Indian Inst Technol Kharagpur, Dept Min Engn, Kharagpur, W Bengal, India

来源：

WELDING IN THE WORLD | 2021年 / 65卷 / 03期

关键词：

Mother wavelet selection; Friction stir welding; Force signals; Defect identification; ACOUSTIC-EMISSION; SIGNALS; IDENTIFICATION;

D O I：

10.1007/s40194-020-01028-5

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The article attempts to detect the defects in friction stir welding (FSW) process by analyzing the signal acquired during welding. The said welding technique utilizes pressure and heat developed by the usage of a non-consumable tool. Thus, the axial force signal carries a lot of information about the physical process, and hence, it could be used to identify the weld defects. Signal analysis has been performed by using wavelet-based techniques. Before this analysis, a methodology has been followed to select the best mother wavelets suitable for the signal. The results of defect identification have been validated by mapping the processed signal with the actual weld quality.

引用

页码：451 / 461

页数：11

共 50 条

[31] Friction stir welding chosen to weld external fuel tank
Nicholas, D.
Advanced Materials and Processes, 2001, 159 (04):
[32] Torque based weld power model for friction stir welding
Pew, J. W.
Nelson, T. W.
Sorensen, C. D.
SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 2007, 12 (04) : 341 - 347
[33] Prediction of weld zone shape with effect of tool pin profile in friction stir welding process
Prashant Prakash
Ravi Shankar Anand
Sanjay Kumar Jha
Journal of Mechanical Science and Technology, 2020, 34 : 279 - 287
[34] Dissimilar joining of titanium to aluminum using friction stir welding process and weld joint characterization
Basude, Ambadas
Kumar, Adepu
Rajasingh, George
Kishore, Mugada Krishna
INTERNATIONAL JOURNAL OF MATERIALS RESEARCH, 2023, 114 (09) : 811 - 819
[35] Prediction of weld zone shape with effect of tool pin profile in friction stir welding process
Prakash, Prashant
Anand, Ravi Shankar
Jha, Sanjay Kumar
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2020, 34 (01) : 279 - 287
[36] Effect of Friction Stir Welding Parameters on Defect Formation
Tarasov, S. Yu.
Rubtsov, V. E.
Eliseev, A. A.
Kolubaev, E. A.
Filippov, A. V.
Ivanov, A. N.
INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS WITH HIERARCHICAL STRUCTURE FOR NEW TECHNOLOGIES AND RELIABLE STRUCTURES 2015, 2015, 1683
[37] Defect formation and material flow in Friction Stir Welding
Dialami, Narges
Cervera, Miguel
Chiumenti, Michele
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2020, 80
[38] Numerical modeling of defect formation in friction stir welding
Turkan, Murat
Karakas, Ozler
MATERIALS TODAY COMMUNICATIONS, 2022, 31
[39] Investigation on friction stir welding process of ferritic stainless steel and mechanism of defect formation
Tang W.
Yang X.
Li S.
Li H.
Hanjie Xuebao/Transactions of the China Welding Institution, 2019, 40 (06): : 87 - 93and111
[40] Defect detection in friction stir welding process using signal information and fractal theory
Das, B.
Pal, S.
Bag, S.
INTERNATIONAL CONFERENCE ON VIBRATION PROBLEMS 2015, 2016, 144 : 172 - 178

← 1 2 3 4 5 →