عنوان المقالة:Improve wire EDM performance at different machining parameters–ANFIS modeling
ابراهيم ماهر | Ibrahem Maher | 13132
- نوع النشر
- مجلة علمية
- المؤلفون بالعربي
- Ibrahem Maher, Liew Hui Ling, Ahmed AD Sarhan, M Hamdi
- الملخص العربي
- This study presents an experimental investigation of wire electric discharge machining (WEDM) for improving the process performance. The effects of the machining parameters were investigated on the machining performance. Adaptive neuro-fuzzy inference system (ANFIS) was applied to determine the effect of significant parameters on WEDM performance. In addition, ANFIS was used to predict the cutting speed, surface roughness and heat affected zone in WEDM. The predicted cutting speed, surface roughness, and heat affected zone were compared with measured data, and the average prediction error for cutting speed, surface roughness, and heat affected zone were 3.41, 3.89, and 4.1 respectively.
- تاريخ النشر
- 17/02/2015
- الناشر
- IFAC-PapersOnLine
- رابط DOI
- 10.1016/j.
- رابط خارجي
- http://www.sciencedirect.com/science/article/pii/S240589631500110X
- الكلمات المفتاحية
- WEDM, Cutting speed, Surface roughness, Heat-affected zone, ANFIS