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

I. Cekić, K. Çavdar
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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.
利用Minitab建立点焊参数数学模型并预测焊核
在批量生产中,由于焊接参数的过剩和变化,在焊接参数的选择上不断遇到问题。为了补偿这些变化,大多采用高能量通量。本文介绍了一种在确定0.6 ~ 3mm厚薄板焊接参数时估算焊核直径的方法。使用Minitab统计程序创建实验数据并进行数学运算。首先,选取7个源参数,在Minitab软件中采用½分割析因法进行64个实验设计(DOE)。通过实验,获得了真实的焊缝熔核直径。将这些结果传输到Minitab软件中,并建立了系统的数学模型。采用试验设计(DOE)数据对焊缝熔核直径进行估算。将试验和预测数据输入Minitab软件,绘制回归图,计算R-Sq和R-Sq (adj)值。此外,随机选择数据创建样本进行验证,并将其转移到Minitab进行比较。研究结果表明,利用Minitab对焊缝熔核直径进行估算,取得了显著的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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