Prediction of surface roughness in the end milling machining using Artificial Neural Network
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[1] Indrajit Mukherjee,et al. A review of optimization techniques in metal cutting processes , 2006, Comput. Ind. Eng..
[2] S. Joshi,et al. Modeling of surface roughness in precision machining of metal matrix composites using ANN , 2008 .
[3] Fikri Dweiri,et al. Fuzzy surface roughness modeling of CNC down milling of Alumic-79 , 2003 .
[4] Wisley Falco Sales,et al. Modelling the correlation between cutting and process parameters in high-speed machining of Inconel 718 alloy using an artificial neural network , 2005 .
[5] Janet M. Twomey,et al. ANN constitutive model for high strain-rate deformation of Al 7075-T6 , 2007 .
[6] Adnan Sözen,et al. Determination of residual stresses based on heat treatment conditions and densities on a hybrid (FLN2-4405) powder metallurgy steel using artificial neural network , 2007 .
[7] John L. Yang. A Systematic Approach for Identifying Optimum Surface Roughness Performance in End-Milling Operations By Mr . , 2001 .
[8] M. Nalbant,et al. The experimental investigation of the effects of uncoated, PVD- and CVD-coated cemented carbide inserts and cutting parameters on surface roughness in CNC turning and its prediction using artificial neural networks , 2009 .
[9] Ibrahim N. Tansel,et al. Selection of optimal cutting conditions by using GONNS , 2006 .
[10] Franci Cus,et al. Approach to optimization of cutting conditions by using artificial neural networks , 2006 .
[11] U. Zuperl,et al. A generalized neural network model of ball-end milling force system , 2006 .
[12] Tuncay Erzurumlu,et al. Comparison of response surface model with neural network in determining the surface quality of moulded parts , 2007 .
[13] K. Hans Raj,et al. Modeling of manufacturing processes with ANNs for intelligent manufacturing , 2000 .
[14] Uday S. Dixit,et al. A neural-network-based methodology for the prediction of surface roughness in a turning process , 2005 .
[15] F. Erzincanli,et al. Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm , 2006 .
[16] C. Sanjay,et al. A study of surface roughness in drilling using mathematical analysis and neural networks , 2006 .
[17] Amrifan Saladin Mohruni. Performance Evaluation of Uncoated and Coated Carbide Tools When End Milling of Titanium Alloy using Response Surface Methodology , 2008 .
[18] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[19] Joseph C. Chen,et al. An in-process surface recognition system based on neural networks in end milling cutting operations , 1999 .
[20] George-Christopher Vosniakos,et al. Predicting surface roughness in machining: a review , 2003 .
[21] Franci Cus,et al. Optimization of cutting conditions during cutting by using neural networks , 2003 .
[22] J. Paulo Davim,et al. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models , 2008 .
[23] Abdulrahman Al-Ahmari,et al. Predictive machinability models for a selected hard material in turning operations , 2007 .
[24] Mirko Ficko,et al. Prediction of surface roughness with genetic programming , 2004 .
[25] Steven R Schmid Kalpakjian,et al. Manufacturing Engineering and Technology , 1991 .
[26] W. Grzesik,et al. Hybrid approach to surface roughness evaluation in multistage machining processes , 2003 .