LAPSE:2023.5121v1
Published Article

LAPSE:2023.5121v1
Optimization of Friction Welding Parameters to Maximize the Tensile Strength of Magnesium Alloy with Aluminum Alloy Dissimilar Joints Using Genetic Algorithm
February 23, 2023
Abstract
The friction rotary welding (FRW) of magnesium alloy to aluminum alloy was presented in a paper due to significant interest in the manufacturing industry. A genetic algorithm (GA) method for optimizing FRW process parameters of dissimilar light alloys was presented. After obtaining the welding parameters by GA method, it was possible to determine the best tensile strength of the friction joint. The obtained joints were subjected to tensile strength. The highest tensile strength TS = 178 MPa was found using a genetic algorithm for the following friction welding parameters: friction force FF = 16 kN, friction time FT = 4 s, and upsetting force UF = 44 kN. The optimized values were compared with the experimental results. The application of the genetic algorithm method allowed increasing the tensile strength joint from 88 to 180 MPa. The maximum tensile strength of the friction welded magnesium alloy-aluminum alloy joints was 73% of the base AZ31B metal. The relationship between welding parameters and strenght of welds was also demonstrated in this study.
The friction rotary welding (FRW) of magnesium alloy to aluminum alloy was presented in a paper due to significant interest in the manufacturing industry. A genetic algorithm (GA) method for optimizing FRW process parameters of dissimilar light alloys was presented. After obtaining the welding parameters by GA method, it was possible to determine the best tensile strength of the friction joint. The obtained joints were subjected to tensile strength. The highest tensile strength TS = 178 MPa was found using a genetic algorithm for the following friction welding parameters: friction force FF = 16 kN, friction time FT = 4 s, and upsetting force UF = 44 kN. The optimized values were compared with the experimental results. The application of the genetic algorithm method allowed increasing the tensile strength joint from 88 to 180 MPa. The maximum tensile strength of the friction welded magnesium alloy-aluminum alloy joints was 73% of the base AZ31B metal. The relationship between welding parameters and strenght of welds was also demonstrated in this study.
Record ID
Keywords
AA 7075, AZ 31B, friction rotary welding, Genetic Algorithm, Optimization
Subject
Suggested Citation
Winiczenko R, Skibicki A, Skoczylas P. Optimization of Friction Welding Parameters to Maximize the Tensile Strength of Magnesium Alloy with Aluminum Alloy Dissimilar Joints Using Genetic Algorithm. (2023). LAPSE:2023.5121v1
Author Affiliations
Winiczenko R: Institute of Mechanical Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
Skibicki A: Faculty of Mechanical Engineering, Bydgoszcz University of Science and Technology, Kaliskiego 7, 85-789 Bydgoszcz, Poland
Skoczylas P: Institute of Mechanics and Printing, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland
Skibicki A: Faculty of Mechanical Engineering, Bydgoszcz University of Science and Technology, Kaliskiego 7, 85-789 Bydgoszcz, Poland
Skoczylas P: Institute of Mechanics and Printing, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland
Journal Name
Processes
Volume
9
Issue
9
First Page
1550
Year
2021
Publication Date
2021-08-30
ISSN
2227-9717
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Original Submission
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PII: pr9091550, Publication Type: Journal Article
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LAPSE:2023.5121v1
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https://doi.org/10.3390/pr9091550
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Feb 23, 2023
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