The Neural-fuzzy Modeling and Genetic Optimization in WEDM

作者: Li Guiqin , Kong Fanhui , Lu Wenle , Yuan Qingfeng , Fang Minglun

DOI: 10.1109/ICCA.2007.4376599

关键词:

摘要: Considering the needs for getting more precise parameters and at same time to get faster cutting speed better surface roughness in Wire Electrical Discharge Machining (WEDM), authors established a model of WEDM, which has higher forecast precision generalization ability could help us understanding basic principles WEDM. The combined modeling function fuzzy inference with learning artificial neural network; set rules been generated directly from experimental data. Integrated genetic optimization procedure, systems are used optimize wire electrical discharge WEDM optimum results have proved feasibility practicability system

参考文章(4)
Kesheng Wang, Hirpa L. Gelgele, Yi Wang, Qingfeng Yuan, Minglung Fang, A hybrid intelligent method for modelling the EDM process International Journal of Machine Tools & Manufacture. ,vol. 43, pp. 995- 999 ,(2003) , 10.1016/S0890-6955(03)00102-0
Shajan Kuriakose, M.S. Shunmugam, Multi-objective optimization of wire-electro discharge machining process by Non-Dominated Sorting Genetic Algorithm Journal of Materials Processing Technology. ,vol. 170, pp. 133- 141 ,(2005) , 10.1016/J.JMATPROTEC.2005.04.105
S. Sarkar, S. Mitra, B. Bhattacharyya, Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy Journal of Materials Processing Technology. ,vol. 159, pp. 286- 294 ,(2005) , 10.1016/J.JMATPROTEC.2004.10.009
Yupu Yang, Xiaoming Xu, Wenyuan Zhang, Design neural networks based fuzzy logic Fuzzy Sets and Systems. ,vol. 114, pp. 325- 328 ,(2000) , 10.1016/S0165-0114(98)00098-0