TOPSIS – GRA Approach to Optimize Friction Stir Welded Aluminum 6061 Pipes Parameters
Author:
Affiliation:
1. Benha University,Faculty of Engineering,Department of Mechanical Engineering,Benha,Egypt,13518
2. UAE University,College of Engineering,Mechanical Engineering Department,Al Ain,United Arab Emirates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9734305/9734306/09734821.pdf?arnumber=9734821
Reference18 articles.
1. Effect of process parameters on the macrostructure and defect formation in friction stir lap welding of AA5456 aluminum alloy
2. Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis
3. Optimisation of dissimilar friction stir welding parameters with grey relational analysis
4. Multiobjective Optimization of Friction Stir Welding Process Parameters on Aluminum Alloy AA 5083 Using Taguchi-Based Grey Relation Analysis
5. Sustainable concept selection using modified fuzzy TOPSIS: a case study
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1. Multi-weld Quality Optimization of Friction Stir Welding for Aluminium Flange Using the Grey-based Taguchi Method;Management and Production Engineering Review;2024-06-30
2. Analysis of variance and Grey relational analysis application Methods for the Selection and Optimization Problem in 6061-T6 flange Friction Stir Welding Process Parameters;International Journal of Lightweight Materials and Manufacture;2024-06
3. A comparative study of multiple-criteria decision-making methods for selecting the best process parameters for friction stir welded Al 6061 alloy;Welding International;2023-10-26
4. Process parameters for friction stir welding on A319 aluminium alloy using hybrid technique for order of preference by similarity to an ideal solution and grey relational analysis multi-criteria decision-making method;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-03-09
5. Experimental investigation on joining process of (plate to pipe) aluminum alloy 6082-T6 using friction stir welding;2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2022-10-22
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