Supervised Machine Learning in Friction Stir Welding (FSW)

S. Arungalai Vendan; Rajeev Kamal; Abhinav Karan; Liang Gao; Xiaodong Niu; Akhil Garg

doi:10.1007/978-981-13-9382-2_3

Supervised Machine Learning in Friction Stir Welding (FSW)

S. Arungalai Vendan^*, Rajeev Kamal, Abhinav Karan, Liang Gao, Xiaodong Niu, Akhil Garg

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

7 Citations (Scopus)

Abstract

The friction stir welding process was invented and patented by The Welding Institute (TWI), England in 1991 [1]. FSW process is a solid-state welding technique that is considered as a suitable joining technique for different weld type configurations such as T joints, butt joints, lap joints and butt joints.

Original language	English
Title of host publication	Engineering Applications of Computational Methods
Publisher	Springer
Pages	119-185
Number of pages	67
DOIs	https://doi.org/10.1007/978-981-13-9382-2_3
Publication status	Published - 2020
Externally published	Yes

Publication series

Name	Engineering Applications of Computational Methods
Volume	1
ISSN (Print)	2662-3366
ISSN (Electronic)	2662-3374

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10.1007/978-981-13-9382-2_3

Cite this

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AU - Niu, Xiaodong

AU - Garg, Akhil

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Supervised Machine Learning in Friction Stir Welding (FSW)

Abstract

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