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>Data set on prediction of friction stir welding parameters to achieve maximum strength of AA2014-T6 aluminium alloy joints
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Data set on prediction of friction stir welding parameters to achieve maximum strength of AA2014-T6 aluminium alloy joints
Statistical tools such as design of experiments (DoE), analysis of variance (ANOVA) were used to develop the empirical relationship, to predict the ultimate tensile strength of the joint at the 95% percent confidence level. Response surface graph and contour plots were constructed using response surface methodology (RSM) concept. From this investigation, it is found that the joint fabricated with a tool rotational speed of 1500 rpm, welding speed of 40 mm/min, tool tilt angle of 1.5° and tool shoulder diameter of 6 mm, exhibited maximum tensile strength of 380 MPa.
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机译：使用统计工具，例如实验设计（DoE），方差分析（ANOVA）来建立经验关系，以在95％的置信度水平下预测接头的极限抗拉强度。使用响应表面方法（RSM）概念构建了响应表面图和轮廓图。从这项调查中发现，以1500 rpm的工具转速，40 mm / min的焊接速度，1.5°的工具倾斜角和6mm的工具肩直径制造的接头具有380 MPa的最大抗拉强度。
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