Study on the thermo-effect of P-GMAW characterized by structure-borne acoustic emission signals detected in welding on aluminum alloy-Reference-Cited by-同舟云学术

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Study on the thermo-effect of P-GMAW characterized by structure-borne acoustic emission signals detected in welding on aluminum alloy

Published:2016-10 Issue: Volume:92 Page:200-207
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Luo Yi,Du Yunfei,Zhu Liang,Han Jingtao,Wan Rui,Xie Xiaojian

Funder

Natural Science Foundation Project of Chongqing Science and Technology Commission of China

Scientific and Technological Research Program of Chongqing Municipal Education Commission of China

Chongqing Municipal Engineering Research Center of Institutions of Higher Education for Special Welding Materials and Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference10 articles.

1. Thin sheet welding of Al 6082 alloy by AC pulse-GMA and AC wave pulse-GMA welding;Kumar;Mater. Des.,2009

2. Arc characteristics and behaviour of metal transfer in pulsed current GMA welding of stainless steel;Gposh;J. Mater. Process. Technol.,2009

3. Improvement of MIG welding stability in pure Ar shielding gas using small amount of oxygen and coaxial hybrid solid wire;Nakamura;Sci. Technol. Weld. Join.,2008

4. Steps toward a new classification of metal transfer in gas metal arc welding;Danut;J. Mater. Process. Technol.,2008

5. EMS-CO2 welding: a new approach to improve droplet transfer characteristics and welding formation;Luo;Mater. Manuf. Process.,2010

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1. An end-to-end framework based on acoustic emission for welding penetration prediction;Journal of Manufacturing Processes;2023-12

2. Investigating the Quality of TIG-Welded Aluminium Alloy 5086 Using the Online Acoustic Emission and Optimization of Welding Parameters Using Global Best-Based Modified Artificial Bee Colony Algorithm;Transactions of the Indian Institute of Metals;2023-03-25

3. Measurement of pulsed laser welding penetration based on keyhole dynamics and deep learning approach;Measurement;2022-08

4. Acoustic methods in real-time welding process monitoring: Application and future potential advancement;Journal of Mechanical Engineering and Sciences;2021-12-15

5. Supervised learning based observer for in-process tool offset estimation in robotic arc welding applications;2021 IEEE 17th International Conference on Automation Science and Engineering (CASE);2021-08-23

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