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Optimization of Surface Roughness and Delamination Damage of GFRP Composite Material in End Milling Using Taguchi Design Method and Artificial Neural Network

Optimization of Surface Roughness and Delamination Damage of GFRP Composite Material in End... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Procedia Engineering Unpaywall

Optimization of Surface Roughness and Delamination Damage of GFRP Composite Material in End Milling Using Taguchi Design Method and Artificial Neural Network

Procedia EngineeringJan 1, 2013

Optimization of Surface Roughness and Delamination Damage of GFRP Composite Material in End Milling Using Taguchi Design Method and Artificial Neural Network

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Publisher
Unpaywall
ISSN
1877-7058
DOI
10.1016/j.proeng.2013.09.154
Publisher site
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Abstract

Journal

Procedia EngineeringUnpaywall

Published: Jan 1, 2013

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