Surface Roughness Prediction using Artificial Neural Network in Hard Turning of AISI H13 Steel with Minimal Cutting Fluid Application-Reference-Cited by-同舟云学术

Surface Roughness Prediction using Artificial Neural Network in Hard Turning of AISI H13 Steel with Minimal Cutting Fluid Application

Published:2014 Issue: Volume:97 Page:205-211
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Beatrice B. Anuja,Kirubakaran E.,Thangaiah P. Ranjit Jeba,Wins K. Leo Dev

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference18 articles.

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2. Machining of hard materials;König;CIRP Annals,1984

3. NIOSH ‘Metal Working Fluids - Recommendation for Chronic Inhalation Studies’, National Institute for Occupational Safety and Health (NIOSH), Cincinnati, OH USA 45226, 2001.

4. An Environment Friendly Twin-jet Minimal Fluid Application Scheme for Surface Milling of Hardened AISI4340 Steel;Leo Dev Wins;International Journal of Manufacturing Systems,2011

5. Influence of cutting fluid composition and delivery variables on performance in hard turning using minimal fluid in pulsed jet form;Philip;Journal of the Institution of Engineers (India),2000

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