Decision support system for electric discharge machined AA6061/Al 2 O 3 /10p metal matrix composite
Materials Today: Proceedings, ISSN: 2214-7853, Vol: 62, Page: 1139-1142
2022
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
The present work proposes a decision support system in TOmada de Decisao Interativa Multicriterio (TODIM) to identify the best possible processing condition for machining AA6061/Al 2 O 3 /10p, a metal matrix composite using an electric discharge machining process. Various input parameters, i.e., discharge current, gap voltage, and discharge duration, have been considered independently while carrying out the experimentation. The following outputs were measured during the experimentation process: material removal rate, wear ratio, and average surface roughness. A total of twelve experiments were carried out. Following optimal process parameters have been revealed from the application of the TODIM methodology, I d (A) = 10 A, V g (V) = 35 V, and T on (μs) = 200 μs. Also, the machined surface was analyzed to check the performance of the process.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2214785322024683; http://dx.doi.org/10.1016/j.matpr.2022.04.328; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85129507290&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2214785322024683; https://dx.doi.org/10.1016/j.matpr.2022.04.328
Elsevier BV
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