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Artificial intelligence in manufacturing research /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Davim, J. Paulo
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, ©2010.
Colección:Materials and manufacturing technology series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.