Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques.

fuzzy logic grey theory optimization process parameter response

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
05 Oct 2021
Historique:
received: 20 08 2021
revised: 28 09 2021
accepted: 29 09 2021
entrez: 13 10 2021
pubmed: 14 10 2021
medline: 14 10 2021
Statut: epublish

Résumé

Electrical discharge machining (EDM) has recently been shown to be one of the most successful unconventional machining methods for meeting the requirements of today's manufacturing sector by producing complicated curved geometries in a broad variety of contemporary engineering materials. The machining efficiency of an EDM process during hexagonal hole formation on pearlitic Spheroidal Graphite (SG) iron 450/12 grade material was examined in this study utilizing peak current (I), pulse-on time (T

Identifiants

pubmed: 34640217
pii: ma14195820
doi: 10.3390/ma14195820
pmc: PMC8510233
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Ankit Sharma (A)

Chitkara College of Applied Engineering, Chitkara University, Punjab 140401, India.

Vidyapati Kumar (V)

Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur 721302, India.

Atul Babbar (A)

Mechanical Engineering Department, Shree Guru Gobind Singh Tricentenary University, Gurugram 122505, Haryana, India.

Vikas Dhawan (V)

Mechanical Engineering Department, Shree Guru Gobind Singh Tricentenary University, Gurugram 122505, Haryana, India.

Ketan Kotecha (K)

Symbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis International (Deemed University) (SIU), Pune 412115, India.

Chander Prakash (C)

School of Mechanical Engineering, Lovely Professional University, Phagwara 110001, India.

Classifications MeSH