Preface
Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Composites
p.1
p.1
Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Composites
p.21
p.21
Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniques
p.37
p.37
Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies
p.59
p.59
Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP Composites
p.77
p.77
Soft Computing Applications in Drilling of GFRP Composites: A Review
p.99
p.99
Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimization
p.109
p.109
Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach
p.123
p.123
Preface
Abstract:
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Info:
Periodical:
Materials Science Forum (Volume 766)
Online since:
July 2013
Сopyright:
© 2013 Trans Tech Publications Ltd. All Rights Reserved
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