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 sur...

Descripción completa

Detalles Bibliográficos
Autores principales: Rajendran, C., Srinivasan, K., Balasubramanian, V., Balaji, H., Selvaraj, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Materials Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661257/
https://www.ncbi.nlm.nih.gov/pubmed/31372402
http://dx.doi.org/10.1016/j.dib.2019.103735
Descripción
Sumario: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.

Ejemplares similares