Open AccessExperimental investigation of Electro discharge machining process by AHP-MOORA technique
Author(s) -
S. Debnath,
Soumya Ghosh
Publication year - 2021
Publication title -
journal of industrial engineering and decision making
Language(s) - English
Resource type - Journals
ISSN - 2683-5916
DOI - 10.31181/jiedm200201001d
Subject(s) - analytic hierarchy process , duty cycle , central composite design , surface roughness , response surface methodology , electrical discharge machining , mechanical engineering , composite number , machining , process (computing) , computer science , materials science , engineering drawing , engineering , process engineering , voltage , composite material , machine learning , operations research , electrical engineering , operating system
In the current study, Analytic Hierarchy Process (AHP) combined with Multi-objective optimization by ratio analysis (MOORA) was adopted to find the efficiency of optimizing multiple performance characteristics for EDM of Al-4.5%Cu- SiC composite using a cylindrical copper electrode. The influence of three machine process parameter pulse on (TON), peak current, duty cycle, and one material variable weight fraction on the response variables material removal rate (MRR), electrode wear ratio (EWR), and surface roughness (SR) have been investigated using multi-attribute decision- making model. The response surface methodology (RSM) central composite designs (CCD) have been used as the experiment's design. The weight factors for the output responses assigned by the AHP method and the most desirable significant factor levels determined by the MOORA method. The method implemented in this paper is advantageous in various real-life decision-making problems in the manufacturing environment.