An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
作者： Ulaş Çaydaş , Ahmet Hasçalık , Sami Ekici
DOI: 10.1016/J.ESWA.2008.07.019
关键词:
摘要: A wire electrical discharge machined (WEDM) surface is characterized by its roughness and metallographic properties. Surface white layer thickness (WLT) are the main indicators of quality a component for WEDM. In this paper an adaptive neuro-fuzzy inference system (ANFIS) model has been developed prediction average achieved as function process parameters. Pulse duration, open circuit voltage, dielectric flushing pressure feed rate were taken model's input features. The combined modeling fuzzy with learning ability artificial neural network; set rules generated directly from experimental data. predictions compared results verifying approach.
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J.L. Lin, C.L. Lin, The use of grey-fuzzy logic for the optimization of the manufacturing process Journal of Materials Processing Technology. ,vol. 160, pp. 9- 14 ,(2005) , 10.1016/J.JMATPROTEC.2003.11.040
Li Guiqin, Kong Fanhui, Lu Wenle, Yuan Qingfeng, Fang Minglun, The Neural-fuzzy Modeling and Genetic Optimization in WEDM international conference on control and automation. pp. 1440- 1443 ,(2007) , 10.1109/ICCA.2007.4376599
J.H. Zhang, H. Zhang, D.S. Su, Y. Qin, M.Y. Huo, Q.H. Zhang, L. Wang, Adaptive fuzzy control system of a servomechanism for electro-discharge machining combined with ultrasonic vibration Journal of Materials Processing Technology. ,vol. 129, pp. 45- 49 ,(2002) , 10.1016/S0924-0136(02)00573-3
Ahmet Hasçalýk, Ulaş Çaydaş, Experimental study of wire electrical discharge machining of AISI D5 tool steel Journal of Materials Processing Technology. ,vol. 148, pp. 362- 367 ,(2004) , 10.1016/J.JMATPROTEC.2004.02.048
Tsutomu Kaneko, Tomomasa Onodera, Improvement in machining performance of die-sinking EDM by using self-adjusting fuzzy control Journal of Materials Processing Technology. ,vol. 149, pp. 204- 211 ,(2004) , 10.1016/J.JMATPROTEC.2004.02.006
Elif Derya Übeyli, Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders Expert Systems With Applications. ,vol. 34, pp. 2201- 2209 ,(2008) , 10.1016/J.ESWA.2007.02.020
Özlem Salman, M. Cengiz Kayacan, Evolutionary programming method for modeling the EDM parameters for roughness Journal of Materials Processing Technology. ,vol. 200, pp. 347- 355 ,(2008) , 10.1016/J.JMATPROTEC.2007.09.022
Electrical Conductivity of Dielectric on WEDM Characteristics Transactions of The Korean Society of Mechanical Engineers A. ,vol. 27, pp. 1800- 1808 ,(2003) , 10.3795/KSME-A.2003.27.10.1800
Y.S. Tarng, C.M. Tseng, L.K. Chung, A fuzzy pulse discriminating system for electrical discharge machining International Journal of Machine Tools & Manufacture. ,vol. 37, pp. 511- 522 ,(1997) , 10.1016/S0890-6955(96)00033-8
Mrinal Buragohain, Chitralekha Mahanta, None, A novel approach for ANFIS modelling based on full factorial design soft computing. ,vol. 8, pp. 609- 625 ,(2008) , 10.1016/J.ASOC.2007.03.010