Modeling of the Weld Strength in Spot Weld Using Regression Analysis of the Stress Parameters based on the Simulation Study

Author:

Patil Sachin ArunORCID,Baratzadeh Farzad,Lankarani Hamid

Abstract

To enhance the performance of spot weld joints, various improvement methods are used to strengthen the properties of welded joints. Spot welding process is very well suited for welding of various steels grades. Regression analysis is the statistical modeling technique, and it is suitable for predicting strength of welded joints. It is valuable for quantifying the impact of various loading types upon a spot weld rupture.In the present study quantification of impact strength of spot welded EHSS steel, Mild Steel (DC05) and AHSS (DP780) were carried out, by developing the regression models. The analysis includes Material, Thickness, Test type, Test Speed as process parameters. The complete analysis will be helpful in deciding the best combinations for desired performance characteristics. Taguchi technique revealed that the impact speed is the most significant factor in weld strength followed by thickness and material grade.

Publisher

Canadian Center of Science and Education

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effects of various strength defects of spot weld on the connection strength under both static and cyclic loading conditions: empirical and numerical investigation;The International Journal of Advanced Manufacturing Technology;2023-07-19

2. Numerical Modeling of Heat-Affected Zone in the GMAW Process;Materials Science;2021-05

3. A study on spot welding quality judgment based on hidden Markov model;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2020-08-24

4. Numerical Prediction of Various Failure Modes in Spotweld Steel Material;SAE International Journal of Transportation Safety;2018-05-11

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