A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy

•Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields bette...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2017-10, Vol.108, p.1-8
Main Authors: Sudhagar, S., Sakthivel, M., Mathew, Prince J., Daniel, S. Ajith Arul
Format: Article
Language:English
Subjects:
Aluminium
Aluminum alloys
Aluminum base alloys
Decision analysis
Decision making
Decision making models
Design of experiments
Friction stir welding
Grey relational analysis
Impact strength
Multi criteria decision making
Multiple criterion
Process parameters
Rotation
Studies
Tensile strength
TOPSIS
Ultimate tensile strength
Welded joints
Welding
Welding parameters
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Summary:•Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields better result.•Comparison between GRA and TOPSIS has been done. This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000rpm, welding speed of 80mm/min and tool offset at 0mm.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2017.05.023