Predicting Failure Modes of Resistance Spot Welds from the Chemical Composition of Materials
Author:
Funder
Ministry of Trade, Industry and Energy
Publisher
The Korean Welding and Joining Society
Link
http://e-jwj.org/upload/jwj-38-5-450.pdf
Reference23 articles.
1. Retained Austenite Characteristics and Tensile Properties in a TRIP Type Bainitic Sheet Steel.
2. Jaguar uses X350 car to pioneer use of self‐piercing rivets
3. Influence of fusion zone size and failure mode on mechanical performance of dissimilar resistance spot welds of AISI 1008 low carbon steel and DP600 advanced high strength steel
4. The trends of steel products in the European automotive industry
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1. Global Approach on the Shear and Cross Tension Strength of Resistance Spot Welded Thin Steel Sheets;Periodica Polytechnica Mechanical Engineering;2023-10-24
2. A study on the machine learning method for estimating resistance spot welding button diameter using power curve and steel type information;Journal of Mechanical Science and Technology;2023-05-06
3. Development of Plasma Arc Spot Welding Process and Finite Element Method Analysis Model for Predicting Fracture Strength: Part 2—Development of Finite Element Method Analysis Model for Predicting Fracture strength;International Journal of Precision Engineering and Manufacturing;2022-11-07
4. Machine Learning Modeling and Hyper-Parameter Optimization for Weld Nugget Formation and Failure Behavior of Resistance Spot Welds;Journal of Welding and Joining;2021-12-30
5. Study on Nugget Diameter Prediction of Resistance Spot Welding Using an Artificial Neural Network;Journal of Welding and Joining;2021-12-30
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