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Artificial Intelligence in manufacturing research
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Artificial Intelligence in manufacturing research

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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.

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Artificial Intelligence in manufacturing research. ISBN 9781626185579. Published by Novinka in 2013. Publication and catalogue information, links to buy online and reader comments.

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