A machine vision-based electrode displacement measurement
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s40194-013-0086-7.pdf
Reference19 articles.
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3. Goodarzi M, Marashi SPH, Pouranvari M (2009) Dependence of overload performance on weld attributes for resistance spot welded galvanized low carbon steel. J Mater Process Technol 209:4379–4384
4. Pouranvari MM, Marashi SPH (2009) Similar and dissimilar RSW of low carbon and austenitic stainless steels: effect of weld microstructure and hardness profile on failure mode. Mater Sci Technol 25(12):1411–1416
5. Marashi P, Pouranvari M, Sanaee SMH, Abedi A, Abootalebi SH, Goodarzi M (2008) Relationship between failure behaviour and weld fusion zone attributes of austenitic stainless steel resistance spot welds. Mater Sci Technol 24(12):1506–1512
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1. Use of electrode displacement signals for electrode degradation assessment in resistance spot welding;Journal of Manufacturing Processes;2022-04
2. Prediction of Indentation Depth of Resistance Spot Welding Using Electrode Displacement Signal;Journal of Welding and Joining;2021-06-30
3. Online Precision Measurement of Weld Indentation in Resistance Spot Welding Using Servo Gun;IEEE Transactions on Instrumentation and Measurement;2020-07
4. A Novel Method of Using Vision System and Fuzzy Logic for Quality Estimation of Resistance Spot Welding;Symmetry;2019-08-02
5. Monitoring of Resistance Spot Welding Process;Experimental Techniques;2019-08-01
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