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Statistical Analysis in GTAW Welding Application Using Full Factorial Design Experiment

机译:使用完整因子设计实验的GTAW焊接应用中的统计分析

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Electrical and functional parameters determination for welding application requires preliminary tests in industry and research fields. However, this process turns out to be very expensive, slow and, for research purposes, with low reliability. Thus, the development of a statistical analysis that allows obtaining these parameters properly is very important. The present work shows and experimental methodology to apply the metal arc welding with tungsten electrode and inert gas (GTAW), used to determine the optimum torch speed and current level to achieve defect-free welding. With the results obtained in the cause-effect diagram (Ishikawa), the effective interpretation of the root cause of the defects is allowed, reducing the number of experiments, then the tree diagram gives guidelines to define the experimental matrix. The validation of the experimentation is performed by designing a complete factorial experiment, the effectiveness provided by coefficient of determination estimation or correlation level known is 94.24% in cord penetration and 85.03% in cord width. Residuals and predicted values graph are used to validate the specimens error distribution.
机译:电气和功能参数焊接应用的测定需要工业和研究领域的初步测试。然而,这种过程结果非常昂贵,缓慢,用于研究目的,可靠性低。因此,允许允许获得这些参数的统计分析非常重要。本工作表明和实验方法用钨电极和惰性气体(GTAW)应用金属弧焊,用于确定最佳割炬速度和电流水平,以实现无缺陷焊接。随着在原因效果图中获得的结果(Ishikawa),允许对缺陷的根本原因的有效解释,减少实验的数量,然后树图给出了定义实验矩阵的指导。通过设计完整的因子实验进行实验的验证,通过测定系数估计或相关含量提供的有效性为94.24%,帘线宽度为85.03%。残差和预测值图用于验证样本错误分布。

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