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Artificial Intelligence in Manufacturing Research

Editat de J. Paulo Davim
en Limba Engleză Hardback – 20 mai 2010
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.
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Specificații

ISBN-13: 9781608762149
ISBN-10: 1608762149
Pagini: 182
Ilustrații: tables & charts
Dimensiuni: 181 x 254 x 17 mm
Greutate: 0.52 kg
Ediția:New.
Editura: Nova Science Publishers Inc

Cuprins

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.