Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint
Nowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial intelligence, particularly machine learning, big data analytics have dramatically amended, and manufacturers easily expl...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01249.pdf |
| _version_ | 1797658712211456000 |
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| author | Radhakrishna Laishetty Hariharan V.S. Srinivas Banothu Venkateswarlu Ganta Messele Sefene Eyob Mishra Akshansh Gopikrishna N. Rajanikanth Teegala |
| author_facet | Radhakrishna Laishetty Hariharan V.S. Srinivas Banothu Venkateswarlu Ganta Messele Sefene Eyob Mishra Akshansh Gopikrishna N. Rajanikanth Teegala |
| author_sort | Radhakrishna Laishetty |
| collection | DOAJ |
| description | Nowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial intelligence, particularly machine learning, big data analytics have dramatically amended, and manufacturers easily exploit organized and unorganized data. This study utilized hybrid optimization algorithms to find friction stir welding and optimal hardness value at the nugget zone. A similar AA 6262 material was used and welded in a butt joint configuration. Tool rotational speed (RPM), tool traverse speed (mm/min), and the plane depth (mm) are used as controllable parameters and optimized using Taguchi L9, Random Forest, and XG Boost machine learning tools. Analysis of variance was also conducted at a 95% confidence interval for identifying the significant parameters. The result indicated that the coefficient of determination from Taguchi L9 orthogonal array is 0.91 obtained while Random Forest and XG Boost algorithm imparted 0.62 and 0.65 respectively. Keywords: Friction Stir Welding; Taguchi; Machine Learning; Hardness; Nugget Zone and Random Forest. |
| first_indexed | 2024-03-11T18:04:15Z |
| format | Article |
| id | doaj.art-85ee33b331dd4205b5122fb9e0d649b4 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T18:04:15Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-85ee33b331dd4205b5122fb9e0d649b42023-10-17T08:47:20ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014300124910.1051/e3sconf/202343001249e3sconf_icmpc2023_01249Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget JointRadhakrishna Laishetty0Hariharan V.S.1Srinivas Banothu2Venkateswarlu Ganta3Messele Sefene Eyob4Mishra Akshansh5Gopikrishna N.6Rajanikanth Teegala7Department of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesDepartment of Mechanical Engineering, Sree Chaitanya College of EngineeringBahir Dar Institute of Technology, Faculty of Mechanical and Industrial EngineeringDepartment of Chemistry, Materials, and Chemical Engineering “Giulio Natta”Department of Mechanical Engineering, Sree Chaitanya College of EngineeringDepartment of Mechanical Engineering, Balaji institute of Technology and SciencesNowadays, industry 4.0 plays a tremendous role in the manufacturing industries for increasing the amount of data and accuracy in modern manufacturing systems. Thanks to artificial intelligence, particularly machine learning, big data analytics have dramatically amended, and manufacturers easily exploit organized and unorganized data. This study utilized hybrid optimization algorithms to find friction stir welding and optimal hardness value at the nugget zone. A similar AA 6262 material was used and welded in a butt joint configuration. Tool rotational speed (RPM), tool traverse speed (mm/min), and the plane depth (mm) are used as controllable parameters and optimized using Taguchi L9, Random Forest, and XG Boost machine learning tools. Analysis of variance was also conducted at a 95% confidence interval for identifying the significant parameters. The result indicated that the coefficient of determination from Taguchi L9 orthogonal array is 0.91 obtained while Random Forest and XG Boost algorithm imparted 0.62 and 0.65 respectively. Keywords: Friction Stir Welding; Taguchi; Machine Learning; Hardness; Nugget Zone and Random Forest.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01249.pdf |
| spellingShingle | Radhakrishna Laishetty Hariharan V.S. Srinivas Banothu Venkateswarlu Ganta Messele Sefene Eyob Mishra Akshansh Gopikrishna N. Rajanikanth Teegala Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint E3S Web of Conferences |
| title | Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint |
| title_full | Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint |
| title_fullStr | Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint |
| title_full_unstemmed | Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint |
| title_short | Performance Evaluation of ML-Based Algorithm and Taguchi Algorithm of the Hardness Value of the Friction Stir Welded AA6262 Joints at a Nugget Joint |
| title_sort | performance evaluation of ml based algorithm and taguchi algorithm of the hardness value of the friction stir welded aa6262 joints at a nugget joint |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01249.pdf |
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