Syed Ali Taqi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Syed Ali Taqi has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Abdullah Sajid
Department of Software Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
1 shared publication - Fakhar Ul Hasnain
Department of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan
1 shared publication - Ghulam Ameer Mukhtar
Industrial Engineering Department, University of Engineering and Technology, Punjab 39161, Pakistan
1 shared publication - Jam Muhammad Talha Laar
Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
1 shared publication - Rana Muhammad Usman
Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
1 shared publication - Sana Shehzadi
Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
1 shared publication
Latest Publications
- Open Access
- 19 September 2023
- Published by MDPI AG in Engineering Proceedings
- Vol. 45 (1) , 50
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 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.
- 19 September 2023
- Published by MDPI AG in Engineering Proceedings
- Vol. 45 (1) , 50
Open AccessCost 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 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.