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Data set on prediction of friction stir welding parameters to achieve maximum strength of AA2014-T6 aluminium alloy joints.

ABSTRACT: 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.

SUBMITTER: Rajendran C

PROVIDER: S-EPMC6661257 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Data set on prediction of friction stir welding parameters to achieve maximum strength of AA2014-T6 aluminium alloy joints.

Rajendran C C Srinivasan K K Balasubramanian V V Balaji H H Selvaraj P P

Data in brief 20190314

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 sh ...[more]

PMID: 31372402

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