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Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic

Publication Type : Conference Proceedings

Publisher : IOP Conference Series: Materials Science and Engineering (International conference on advances in Materials and Manufacturing Applications(ICONAMMA 2016)), Institute of Physics Publishing.

Source : IOP Conference Series: Materials Science and Engineering (International conference on advances in Materials and Manufacturing Applications(ICONAMMA 2016)), Institute of Physics Publishing, Volume 149, Number 1, p.012136 (2016)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995550216&doi=10.1088%2f1757-899X%2f149%2f1%2f012136&partnerID=40&md5=64a313539400a8e13e7a136978537c73

Keywords : Box-Behnken design, Computation theory, Friction, Friction stir spot welding, Friction stir welding, Fuzzy logic, Joining techniques, Manufacture, Metal industries, Process parameters, Shear flow, Sheet metal, Soft computing, Spot welding, Spot-welded joints, Tensile shears, Thin metal sheets, Welding

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2016

Abstract : Friction stir spot welding (FSSW) is a recent joining technique developed for spot welding of thin metal sheets. This process currently finds application in automotive, aerospace, marine and sheet metal industry. In this work, the effect of FSSW process parameters namely tool rotation speed, shoulder diameter and dwell time on Tensile shear failure load (TSFL) is investigated. Box-Behnken design is selected for conducting experiments. Fuzzy based soft computing is used to develop a model for TSFL of AA6061 joints fabricated by FSSW. The interaction of the process parameters on TSFL is also presented. © Published under licence by IOP Publishing Ltd.

Cite this Research Publication : Vaira Vignesh R., Dr. Padmanaban R., Arivarasu, M., Karthick, K. P., Sundar, A. A., and Dr. Gokulachandran J., “Analysing the strength of friction stir spot welded joints of aluminium alloy by fuzzy logic”, IOP Conference Series: Materials Science and Engineering (International conference on advances in Materials and Manufacturing Applications(ICONAMMA 2016)), vol. 149. Institute of Physics Publishing, p. 012136, 2016.

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