Torque based defect detection and weld quality modelling in friction stir welding process-Reference-Cited by-同舟云学术

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Torque based defect detection and weld quality modelling in friction stir welding process

Published:2017-06 Issue: Volume:27 Page:8-17
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Das Bipul,Pal Sukhomay,Bag Swarup

Funder

SERB (Science & Engineering Research Board)

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference36 articles.

1. Friction stir welding: process, automation and control;Gibson;J Manuf Process,2014

2. Experimental study of the forces acting on the tool in the friction stir welding of AA2024 T3 sheets;Astarita;J Mater Eng Perform,2014

3. Defect detection in friction stir welding using discrete wavelet analysis;Kumar;Adv Eng Software,2015

4. Acoustic emission-based monitoring approach for friction stir welding of aluminum alloy AA6063-T6 with different tool pin profiles;Subramaniam;Proc Inst Mech Eng,2013

5. Wavelet transform analysis of acoustic emission in monitoring friction stir welding of 6061 aluminum;Chen;Int J Mach Tool Manuf,2003

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1. A review on phenomenological model subtleties for defect assessment in friction stir welding;Journal of Manufacturing Processes;2024-06

2. A technical perspective on integrating artificial intelligence to solid-state welding;The International Journal of Advanced Manufacturing Technology;2024-04-29

3. A Physics-Informed Machine Learning Model of Dissimilar Friction Stir Welding to Tailor Residual Stress Using Coupled Eulerian and Lagrangian Approach;Journal of Materials Engineering and Performance;2024-04-26

4. Prediction and optimization method for welding quality of components in ship construction;Scientific Reports;2024-04-23

5. Machine learning-supported manufacturing: a review and directions for future research;Production & Manufacturing Research;2024-03-15

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