Building Up Mathematical Modeling Using Spot Welding Parameters and Prediction Weld Nugget by Minitab

Year 2021, , 71 - 79, 20.06.2021

İlhan Çekiç , Kadir Çavdar

https://doi.org/10.26701/ems.837829

Abstract

In serial production, problems are constantly encountered in the selection of welding parameters due to the excess of welding parameters and variations. In order to compensate for these variations, mostly high energy flux is used. In this study, an approach developed in order to estimate weld nugget diameter in determining the welding parameters for sheets with a thickness of 0.6-3 mm is introduced. Minitab statistical program was used to create experimental data and mathematical operations. First of all, 7 source parameters were selected and experimental design (DOE) was carried out for 64 experiments using the ½ partition factorial method in Minitab software. With the experiments, real weld nugget diameters were obtained. These results were transferred to the Minitab software and the mathematical model of the system was established. Weld nugget diameter estimation procedures were carried out using the experimental design (DOE) data. Test and prediction data were transferred to Minitab software, regression graph was drawn and R-Sq and R-Sq (adj) values were calculated. In addition, samples were created with randomly selected data for verification and comparison was made by transferring them to Minitab. According to the results of this study, remarkable accuracy rates have been achieved in the weld nugget diameter estimation with Minitab.

Keywords

Resistance spot welding, weld nugget prediction, design of experiment, regression analysis, Minitab

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