Cover image for Soft computing techniques for machining of composites
Title:
Soft computing techniques for machining of composites
Publication Information:
Durnten-Zurich : Trans Tech Publications, 2013
Physical Description:
141 pages : illustrations ; 24 cm.
ISBN:
9783037857939
Subject Term:
Composite materials -- Congresses

Machining -- Computer programs -- Congresses
Added Author:
Gaitonde, V. N,

Karnik, S. R,

Davim, J. Paulo

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
 30000010344846 TJ1185.5 S64 2013 Open Access Book Book
Searching...

On Order

Summary

Summary

Volume is indexed by Thomson Reuters BCI (WoS).Even though composites are manufactured to near net shaped, machining has to be performed during the final production stage to get the finished products. Soft computing is a collection of methodologies that aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. This special volume intends to draw a picture of the recent advances made in the soft computing assisted machinability studies for composite materials and includes the submission of high quality research articles. Suitable topics include the application to the machining (turning, drilling, milling) of the composites like metal matrix composites, fiber reinforced composites, glass epoxy polymer composites, polyamides and PEEK using various soft computing techniques such as artificial neural networks, fuzzy logic, particle swarm optimization and simulated annealing.


Table of Contents

Issam Hanafi; Khamlichi Abdellatif; Francisco Mata Cabrera; J. Tejero ManzanaresK. Palanikumar; B. Latha; V.S. Senthilkumar; J. Paulo DavimNikolaos A. Fountas; Ioannis Ntziantzias; John Kechagias; Aggelos Koutsomichalis; João Paulo Davim; Nikolaos M. VaxevanidisVijayan KrishnarajT. Rajasekaran; V.N. Gaitonde; J. Paulo DavimV.S. Senthil Kumar; C. EzilarasanFrancisco Mata Cabrera; I. Garrido; J. Tejero; V.N. Gaitonde; S.R. Karnik; J. Paulo DavimS.R. Karnik; V.N. Gaitonde; S. Basavarajappa; J. Paulo Davim
Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Compositesp. 1
Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Compositesp. 21
Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniquesp. 37
Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologiesp. 59
Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP Compositesp. 77
Soft Computing Applications in Drilling of GFRP Composites: A Reviewp. 99
Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimizationp. 109
Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approachp. 123