Abstract

KAZI, Fahad M.; WAGHMARE, C. A.  and  SOHANI, M. S.. Multi-objective optimization of the aluminum powder-mixed EDM process using the GRA and TOPSIS techniques based on the fuzzy AHP approach. J. appl. res. technol [online]. 2021, vol.19, n.5, pp.437-447.  Epub Mar 25, 2022. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2021.19.5.1133.

Electric discharge machining is an advanced machining technique. Spark is initiated between the tool and work piece interface which has a gap between them. Low material removal rate as well as low surface finish is a major concern of this process. Therefore, powder-mixed electric discharge machining (PMEDM) is developed. In the PMEDM process, powders like silicon, aluminum, chromium, manganese, among others, are circulated along with dielectric fluid in a particular proportion. In this present study, aluminum powder is mixed in the dielectric fluid. The responses such as material removal rate, tool wear rate and surface roughness are measured by considering current, pulse on time and aluminum powder concentration as process parameters. The response surface methodology along with the fuzzy AHP TOPSIS and the grey relational analysis are used for optimization.

Keywords : PMEDM process; aluminum powder; response surface methodology; fuzzy AHP TOPSIS; GRA technique.

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