Abstract
PurposeDissimilar joining of austenitic stainless steels and ferritic steels is a challenging task and has a wide range of applications due to its excellent mechanical and thermal characteristics. They are joined mostly by using conventional modes. In the current investigation, the study and optimization of hot wire TIG welding parameters was carried out.Design/methodology/approachThese parameters will govern the desired characteristics of the joint. Solutions were found out through multi-response optimization by using response surface methodology and single response optimization using particle swarm optimization.FindingsOptimized input welding parameters that were achieved are electrode current 180 amps, wire feed rate 1870 mm/min and hot wire current 98 amps and the optimized UTS is 665.45 MPa. The results from PSO were compared with RSM and the optimized input welding parameters for the electrode current, hot wire current and wire feed rate exhibited maximum ultimate tensile strength which were also confirmed from response and contour plots.Originality/valueSensitivity analysis was also performed to understand the effect of each individual parameters on the response. Microstructure features were evaluated for the joints and was found that the characteristics are within the desired criteria.
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation
Reference28 articles.
1. Bansal, J.C. (2019), “Particle swarm optimization”, Evolutionary and Swarm Intelligence Algorithms, Springer, Cham, pp. 11-23, doi: 10.1007/978-3-319-91341-4_2.
2. A critical review on dissimilar welds joint between martensitic and austenitic steel for power plant application;Journal of Manufacturing Processes,2020
3. Study on effect of weld groove geometry on mechanical behavior and residual stresses variation in dissimilar welds of P92/SS304L steel for USC boilers;Archives of Civil and Mechanical Engineering,2022
4. Sensitivity analysis and multi-objective optimization of tungsten inert gas (TIG) welding based on numerical simulation;The International Journal of Advanced Manufacturing Technology,2022
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献