| Título |
Application of MCDM Techniques on Nonconventional Machining of Composites |
| Autores |
Sidhu, Sarabjeet Singh , Bains, Preetkanwal Singh , YAZDANI, MORTEZA, Zolfaniab, Sarfaraz Hashemkhani |
| Publicación externa |
No |
| Medio |
Materials Horizons-From Nature To Nanomaterials |
| Alcance |
Article |
| Naturaleza |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100019447&doi=10.1007%2f978-981-13-2417-8_6&partnerID=40&md5=4a5ceb5fde1479523ce8e86113fbe293 |
| Fecha de publicacion |
01/01/2018 |
| ISI |
000465597300006 |
| Scopus Id |
2-s2.0-85100019447 |
| DOI |
10.1007/978-981-13-2417-8_6 |
| Abstract |
This study has been carried out to assess the impact of electrical discharge machining parameters on the SiC-reinforced aluminum metalmatrix composites. The criteria in machining process including electrodes material, current, pulse time, and dielectric medium were diversified to evaluate their effect on material removal rate (MRR), surface roughness (SR), and residual stresses. The residual stresses induced due to subsequent heating and cooling shocks during the electric discharge process are of primary concern while machining process. The magnitude of residual stresses induced on the machined surface was estimated via X-ray diffraction method. The process conditions that influenced the responses were recognized and optimized synchronically using multiple criteria decision-making and statistical techniques. In this study, analytical hierarchy process (AHP) and a multi-objective optimization analysis (MOORA) will solve process condition problem. This approach confers the combination of process parameter settings suitable for the machining of such composites. |
| Palabras clave |
Residual stresses; Metal removal rate; Surface roughness; Analytical hierarchy process; Multi-objective optimization based on ratio analysis (MOORA) |
| Miembros de la Universidad Loyola |
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