Abstract
In this work, the welding investigation of AISI 201-grade stainless steel (120 mm × 60 mm with 4 mm thickness) using gas metal arc welding (GMAW) has been carried out. Four weld parameters, viz. wire feed rate, welding voltage, nozzle-to-plate distance and welding speed, are used to investigate different weld bead characteristics [i.e. penetration (P), bead width (W) and bead height (H)]. The welding experiments are performed using Taguchi L9 experimental design, and each run is completed in a single pass. The predictive models are developed to predict weld bead geometry, and the performance of the model is validated. The increase in wire feed rate and voltage increases penetration and bead width, while an increase in nozzle-to-plate distance decreases the value of penetration and bead width. The welding parameters are optimized using genetic algorithm to determine the optimal combinations of welding parameters for better quality of component having maximum P with minimum W and H at which the maximum weld quality be achieved.
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Acknowledgements
The authors acknowledge the financial support received from NERIST, Arunachal Pradesh, under TEQIP-II scheme and Advance Welding Training and Research Centre in Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, in carrying out the experimentation work.
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Lata, K., Chandrasekaran, M., Tamang, S.K., Ramesh, R., Rana, N.K. (2019). GMAW Investigation of AISI 201 Stainless Steel and Industry Need Optimization Using Genetic Algorithm. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_19
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DOI: https://doi.org/10.1007/978-981-32-9072-3_19
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