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Prediction of Surface Roughness and Material Removal Rate in Wire Electrical Discharge Machining on Aluminum Based Alloys/Composites Using Taguchi Coupled Grey Relational Analysis and Artificial Neural Networks

AuthID
P-00Q-5A4

Author(s)

Thankachan, T

Prakash, KS

Malini, R

Ramu, S

Sundararaj, P

Rajandran, S

Rammasamy, D

Jothi, S

Tipo de Documento

Article

Year published

2019

Publicado

in APPLIED SURFACE SCIENCE, ISSN: 0169-4332

Volume: 472, Páginas: 22-35 (14)

Conference

9Th International Conference on Advanced Nano Materials (Anm), Date: JUL 19-21, 2017, Location: Univ Aveiro, Aveiro, PORTUGAL, Host: Univ Aveiro

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Wos^®

Google Scholar^®

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Fontes

Publication Identifiers

DOI: 10.1016/j.apsusc.2018.06.117

Wos: WOS:000456393200005

Source Identifiers

ISSN: 0169-4332

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Prediction of Surface Roughness and Material Removal Rate in Wire Electrical Discharge Machining on Aluminum Based Alloys/Composites Using Taguchi Coupled Grey Relational Analysis and Artificial Neural Networks

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Prediction of Surface Roughness and Material Removal Rate in Wire Electrical Discharge Machining on Aluminum Based Alloys/Composites Using Taguchi Coupled Grey Relational Analysis and Artificial Neural Networks

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