Control Criteria Determination and Quality Inference for Resistance Spot Welding through Monitoring the Electrode Displacement Using Bayesian Belief Networks-Reference-Cited by-同舟云学术

Control Criteria Determination and Quality Inference for Resistance Spot Welding through Monitoring the Electrode Displacement Using Bayesian Belief Networks

Published:2012 Issue:4 Volume:6 Page:432-444
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

GONG Liang¹,LIU Cheng-Liang¹,LI Yan-Ming¹

Affiliation:

1. Institute of Mechatronics, Shanghai Jiao Tong University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/6/4/6_432/_pdf

Reference26 articles.

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2. (2) Auto/Steel Partnership, Weld Quality Test Method Manual, (1995)Standardized Test Method Task Force.

3. (4) Tsai C. L., Dai W. L., Dickinson D. W., Papritan J.C., Analysis and development of a real-time control methodology in spot welding, Welding Journal Research Supplement, Vol. 70,No.12(1991),pp.339-351.

4. (5) Honeywell Sensotec, Weld Displacement Transducer -- WLP AW621HQ Welding Accessories Data Sheets Honeywell Sensotec, Weld Displacement Transducer Specifications,(2005).

5. (6) Ji C.T., Zhu Y., Dynamic electrode force and displacement in RSW of Aluminum, Journal of Manufacturing Science and Technology, Vol. 126,No.5(2004), pp. 605-610.

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