Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm
This study investigated the use of the linear regression algorithm (LRA) for estimating the cost of tungsten inert gas (TIG) welding of dissimilar metals, specifically, stainless steel 304 and aluminum 2024. Various cost analysis parameters, including weld time, power cost rate, labor cost, filler r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/45/1/50 |
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| author | Ghulam Ameer Mukhtar Sana Shehzadi Abdullah Sajid Jam Muhammad Talha Laar Syed Ali Taqi Rana Muhammad Usman Fakhar ul Hasnain |
| author_facet | Ghulam Ameer Mukhtar Sana Shehzadi Abdullah Sajid Jam Muhammad Talha Laar Syed Ali Taqi Rana Muhammad Usman Fakhar ul Hasnain |
| author_sort | Ghulam Ameer Mukhtar |
| collection | DOAJ |
| description | This study investigated the use of the linear regression algorithm (LRA) for estimating the cost of tungsten inert gas (TIG) welding of dissimilar metals, specifically, stainless steel 304 and aluminum 2024. Various cost analysis parameters, including weld time, power cost rate, labor cost, filler rod cost, and shielding gas cost, were considered. LRA was employed to develop a predictive model for welding costs based on these parameters. The model was then used to optimize welding parameters by identifying the combination that minimized overall welding costs. The results demonstrate that LRA effectively identified a more cost-effective parameter set compared to traditional methods. This highlights the potential of LRA in enhancing the cost-effectiveness of TIG welding processes. The findings have practical implications for field engineers and researchers, enabling the identification of optimal parameters for cost estimation and significant cost savings. |
| first_indexed | 2024-03-08T20:47:45Z |
| format | Article |
| id | doaj.art-63210ceb3b284b8eb186925ddf1fede2 |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-03-08T20:47:45Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-63210ceb3b284b8eb186925ddf1fede22023-12-22T14:06:38ZengMDPI AGEngineering Proceedings2673-45912023-09-014515010.3390/engproc2023045050Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression AlgorithmGhulam Ameer Mukhtar0Sana Shehzadi1Abdullah Sajid2Jam Muhammad Talha Laar3Syed Ali Taqi4Rana Muhammad Usman5Fakhar ul Hasnain6Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Software Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Software Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, PakistanDepartment of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, PakistanThis study investigated the use of the linear regression algorithm (LRA) for estimating the cost of tungsten inert gas (TIG) welding of dissimilar metals, specifically, stainless steel 304 and aluminum 2024. Various cost analysis parameters, including weld time, power cost rate, labor cost, filler rod cost, and shielding gas cost, were considered. LRA was employed to develop a predictive model for welding costs based on these parameters. The model was then used to optimize welding parameters by identifying the combination that minimized overall welding costs. The results demonstrate that LRA effectively identified a more cost-effective parameter set compared to traditional methods. This highlights the potential of LRA in enhancing the cost-effectiveness of TIG welding processes. The findings have practical implications for field engineers and researchers, enabling the identification of optimal parameters for cost estimation and significant cost savings.https://www.mdpi.com/2673-4591/45/1/50linear regression algorithm (LRA)tungsten inert gas (TIG) weldingdissimilar metalscost estimation of GTAWlinear programming technique (LPT)parametric optimization |
| spellingShingle | Ghulam Ameer Mukhtar Sana Shehzadi Abdullah Sajid Jam Muhammad Talha Laar Syed Ali Taqi Rana Muhammad Usman Fakhar ul Hasnain Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm Engineering Proceedings linear regression algorithm (LRA) tungsten inert gas (TIG) welding dissimilar metals cost estimation of GTAW linear programming technique (LPT) parametric optimization |
| title | Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm |
| title_full | Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm |
| title_fullStr | Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm |
| title_full_unstemmed | Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm |
| title_short | Cost Estimation and Parametric Optimization for TIG Welding Joints in Dissimilar Metals Using Linear Regression Algorithm |
| title_sort | cost estimation and parametric optimization for tig welding joints in dissimilar metals using linear regression algorithm |
| topic | linear regression algorithm (LRA) tungsten inert gas (TIG) welding dissimilar metals cost estimation of GTAW linear programming technique (LPT) parametric optimization |
| url | https://www.mdpi.com/2673-4591/45/1/50 |
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