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Acharya, Samarendra
- Achieving Favourable Depth of Penetration and Productivity of ATIG Welds Utilising the AHP
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Authors
Affiliations
1 *Research Scholar, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal and Assistant Professor, Department of Mechanical Engineering, Global Institute of Management and Technology, Krishnanagar, Nadia., IN
2 PG student, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal., IN
3 Professor, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani- 741235, West Bengal., IN
1 *Research Scholar, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal and Assistant Professor, Department of Mechanical Engineering, Global Institute of Management and Technology, Krishnanagar, Nadia., IN
2 PG student, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal., IN
3 Professor, Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani- 741235, West Bengal., IN
Source
Indian Science Cruiser, Vol 36, No 5 (2022), Pagination: 24 - 30Abstract
The AHP (Analytic Hierarchy Process) is used for multi-criteria decision-making. The present work reveals that the AHP can be successfully implemented for finding out incredible variables for determining the maximum depth of penetration as well as productivity in A-TIG welding. For fulfilment of the AHP model, three parameters i.e. heat input, weld speed and electrode gap, are taken as the criteria. The best discretion corresponding to the optimum process parameters is sorted out through the AHP which is an algorithm to achieve high penetration as well as productivity. Results obtained from the AHP model were found to be suited to the experimental one.Keywords
Welding, Flux, Activated flux, Tungsten Inert Gas Welding, TIG Welding, Analytic Hierarchy Process, AHP, Penetration
References
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- Artificial Neural Networks Based Prediction of Penetration in Activated Tungsten Inert Gas Welding
Abstract Views :82 |
PDF Views:4
Authors
Affiliations
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani- 741235, West Bengal, IN
1 Mechanical Engineering Department, Kalyani Govt. Engineering College, Kalyani- 741235, West Bengal, IN
Source
Indian Welding Journal, Vol 57, No 1 (2024), Pagination: 71-79Abstract
Using GTAW, or tungsten inert gas (TIG) welding, weld penetration is usually lesser than the other arc welding processes. ATIG (Activated-flux TIG) welding can be a good alternative to provide deep penetration, and hence, improved productivity. In this work, 304L SS plate of 8 mm thickness was used as base plate, and a flux with a mixture of SiO2, MnO2 and MoO3 was used as a ternary flux in the ratio of 1:1:2. A 2-factor 3-level response surface methodology of central composite design was considered for designing experimental runs. Back Propagation (BP) type Artificial Neural Networks (ANN) model was developed to assess penetration in ATIG welding by using heat input and pulse frequency as the two process parameters. The ANN chosen has 2-10-1 network structure. Results show that the predicted values through ANN are conforming quite well to the experimentally obtained penetration, and hence, the applicability of ANN.Keywords
Welding, Activated Tungsten Inert Gas Welding, ATIG, Artificial Neural Networks, ANN, NN, Prediction, Depth of Penetration.References
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