| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000427636 |
| ISSN: | 1665-6423 |
| Authors: | Jesudoss Hynes, N. Rajesh1 Kumar, R2 Velu, P. Shenbaga1 Jennifa Sujana, J. Angela3 |
| Institutions: | 1Mepco Schlenk Engineering College, Department of Mechanical Engineering, Sivakasi, Tamil Nadu. India 2Vels Institute of Science, Technology & Advanced Studies, Department of Mechanical Engineering, Pallavaram, Chennai. India 3Mepco Schlenk Engineering College, Department of Information Technology, Sivakasi, Tamil Nadu. India |
| Year: | 2018 |
| Season: | Ago |
| Volumen: | 16 |
| Number: | 4 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Aplicado, descriptivo |
| English abstract | In this work, an integrated grey fuzzy logic technique is employed for solving the multi objective function of friction stud welding machine process parameters. This technique converts the multi-objectives into a grey fuzzy reasoning grade. According to the grey fuzzy reasoning grade, an optimal combination of process parameters is concluded. Here, Taguchi L9 orthogonal array is used to design the experiments. The objective of this work is to maximize impact strength and minimize metal loss during the joining of AA 6063 and AISI 1030 steel. Rotational speed, friction time, and friction pressure are considered as the input process parameters. The outcomes of the confirmation test show that good joining strength is accomplished by the optimal level of process parameters |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería mecánica, Soldadura por fricción, Aluminio, Acero al carbono, Resistencia al impacto, Pérdida de metal |
| Keyword: | Mechanical engineering, Friction welding, Aluminum, Mild steel, Impact strength, Metal loss |
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