Cover image for Artificial intelligence in manufacturing research
Title:
Artificial intelligence in manufacturing research
Series:
Material and manufacturing technology series

Materials and manufacturing technology series
Publication Information:
New York : Nova Science Publishers, c2010
Physical Description:
vi, 182 p. : ill. (some col.) ; 26 cm.
ISBN:
9781608762149
Added Author:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010237422 TS183 A78 2010 Open Access Book Book
Searching...

On Order

Summary

Summary

Artificial intelligence is a sub-field of computer science concerned with understanding the nature of intelligence and constructing computer systems capable of intelligent action. Artificial intelligence can be applied to all systems and manufacturing processes. This book aims to provide the research and review studies on artificial intelligence in manufacturing. The present research book can be used as a text book for final undergraduate engineering course (for example, mechanical, manufacturing, systems, etc) or as a subject on artificial intelligence in manufacturing at the postgraduate level. Also, this book can serve as a useful reference for academics, manufacturing and computational sciences researchers, mechanical, systems and manufacturing engineers, professional in related industries with artificial intelligence and manufacturing.


Table of Contents

Preface
Application of neural networks & fuzzy sets to machining & metal forming
Multi-objective optimisation of multi-pass milling process parameters using artificial bee colony
Optimisation of abrasive flow machining process parameters using particle swarm optimisation & simulated annealing algorithms
Study of effects of process parameters on burr height in drilling of AISI 316 stainless steel using artificial neural network model
Artificial neural network modelling of surface quality characteristics in abrasive water jet machining of trip steel sheet
Multi-objective optimisation of cutting parameters for drilling aluminium
Application of fuzzy logic in manufacturing: a study on modelling of cutting force in turning GFRP composites
Flank wear detection with AE signal & FNN during turning of Al/15vol%SiC-MMC
Integration of product development process using STEP & PDM
Index