Artificial intelligence in manufacturing research /
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| Imprint: | New York : Nova Science Publishers, ©2010. |
|---|---|
| Description: | 1 online resource (vi, 182 pages) : illustrations (some color) |
| Language: | English |
| Series: | Material and manufacturing technology series Materials and manufacturing technology series. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11181147 |
Table of Contents:
- 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.