Open AccessDecision making on the machining parameters of Electrical Discharge Machined AISI D2 tool steel by AHP and PROMETHEE method
Author(s) -
Rakesh Kumar Patel,
Mohan Kumar Pradhan
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1104/1/012011
Subject(s) - flatness (cosmology) , electrical discharge machining , analytic hierarchy process , machining , surface roughness , mechanical engineering , pulse duration , process (computing) , computer science , surface finish , materials science , automotive engineering , engineering , composite material , operations research , laser , physics , optics , cosmology , quantum mechanics , operating system
This paper determines the optimum process parameters of the non-conventional electrical discharge machining (EDM). The performance of the EDM machine depends upon the process parameter used. In this analysis weight percentage, pulse current (Ip), discharge voltage (V) and pulse duration (Ton) used as process parameters. The optimized output parameters are MRR, TWR, surface roughness and flatness. By using face centered composite design nine trials were conducted on the work piece which is made up of AISI D2 tool steel. The trial results obtained were used in AHP and PROMETHEE multi attribute decision making method. The weights of the responses were determined by the AHP method and select the best alternative by AHP and PROMETHEE method. machining parameters and accuracy of the component produce by EDM can be control by using the obtained results