Artificial Intelligence in Manufacturing Research

Artificial Intelligence in Manufacturing Research

eBook - 2010
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Mechanical and other engineers present research and review articles on various aspects and examples of applying artificial intelligence concepts and methods to manufacturing processes. Their topics include applying neural networks and fuzzy sets to machining and metal forming, the multi-objective optimization of multi-pass milling process parameters using artificial bee colony algorithm, the artificial neural network modeling of surface quality characteristics in the abrasive water jet machining of trip steel sheet, modeling cutting force in turning composites reinforced with glass fiber, and integrating product development processes using the Standard for the Exchange of Product STEP (data) and product data management (PDM). Annotation ©2010 Book News, Inc., Portland, OR (

Publisher: New York : Nova Science Publishers, Ă2010
ISBN: 9781617615641
Characteristics: 1 online resource (vi, 182 pages) : illustrations (some color)
Additional Contributors: Davim, J. Paulo


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