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Artificial intelligence in manufacturing research [[electronic resource] /] / J. Paulo Davim, editor



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Titolo: Artificial intelligence in manufacturing research [[electronic resource] /] / J. Paulo Davim, editor Visualizza cluster
Pubblicazione: New York, : Nova Science Publishers, Inc., c2010
Descrizione fisica: 1 online resource (194 p.)
Disciplina: 670.285/63
Soggetto topico: Manufacturing processes - Automation
Manufacturing processes - Research
Computer integrated manufacturing systems
Artificial intelligence
Altri autori: DavimJ. Paulo  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Application of neural networks and fuzzy sets to machining and metal forming / U. S Dixit -- Multi-objective optimization of multi-pas milling process parameters using artificial bee colony algorithm / R. Venkata Rao and P. J. Pawar -- Optimization of abrasive flow machining process parameters using particle swarm optimization and simulated annealing algorithms / P. J. Pawar, R. Venkata Rao and J. P. Davim -- Study of effects of process parameters on burr Height in drilling of AISI 316 stainless steel using artificial neural network model / V. N. Gaitonde, S. R. Karnik and J. Paulo Davim -- Artificial neural network modeling of surface quality characteristics in abrasive water jet machining of trip steel sheet / N. M. Vaxevanidis, A. Markopoulos and G. Petropoulos -- Multi-objective optimisation of cutting parameters for drilling aluminium AA1050 / Ramoʹn Quiza and J. Paulo Davim -- Application of fuzzy logic in manufacturing: a study on modeling of cutting force in turning GFRP composites / K. Palanikumar and J. Paulo Davim -- Flank wear detection with AW signal and FNN during turning of A1/15 Vol%Sic-MMC / Alakesh Manna -- Integration of product development process using STEP and PDM / S. W. Xie and W. L. Chen.
Titolo autorizzato: Artificial intelligence in manufacturing research  Visualizza cluster
ISBN: 1-61761-564-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910817738503321
Lo trovi qui: Univ. Federico II
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Serie: Materials and manufacturing technology series.