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A fuzzy model to predict the mechanical characteristics of friction stir welded joints of aluminum alloy AA2014-T6

Published online by Cambridge University Press:  01 December 2022

S.K. Ashok  and
S. Ponni alias sathya Open the ORCID record for S. Ponni alias sathya [Opens in a new window]
S.K. Ashok
Affiliation:
Automobile Engineering, Dr. Mahalingam College of Engineering & Technology, Pollachi, Tamil Nadu, India
S. Ponni alias sathya*
Affiliation:
Information Technology, Dr. Mahalingam College of Engineering & Technology, Pollachi, Tamil Nadu, India
*
*Correspondence author. Email: sathyaashok2007@gmail.com
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Abstract

Friction stir welding is a prominent technique for making defect-free joints of aluminum alloys. The aluminum alloy AA2014-T6 finds wide applications in aerospace, naval and automotive applications. This paper attempts to predict the tensile strength and hardness characteristics of friction stir welded aluminum alloy AA2014-T6 by a fuzzy logic model. Friction stir welding was carried out by varying tool rotational speed (700, 1,000 and 1,400rpm), welding speed (20, 35, 50mm/min) and axial force (10, 12, 14kN) at three levels. The tensile strength and hardness characteristics of the welded specimens were obtained from the experiments conducted as per Taguchi’s L27 orthogonal array. A Mamdani-type fuzzy logic model was developed to predict the tensile strength and nugget hardness characteristics of the FSW joints. The fuzzy model was evaluated by comparing the results of confirmation experiments with that of the results predicted by the model. The confirmation experiments were conducted with a new set of parameters other than the ones used for building the model. The fuzzy model exhibits marginal variations of 2.53% for tensile strength and 2.42% for weld nugget hardness compared to the results of the conformation experiments.

Keywords

friction stirweldingfuzzy logicaluminium alloy AA2014-T6micro hardnesstensile strength

Information

Type
Research Article
Information
The Aeronautical Journal , Volume 127 , Issue 1311 , May 2023 , pp. 818 - 830
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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Footnotes

This paper has been updated. A corresponding Correction Notice has been published detailing the change.

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