Modelling surface roughness in WEDM process using ANFIS method
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Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Scibulcom Ltd.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, adaptive neuro-fuzzy inference system (ANFIS) modelling was used for estimation surface roughness based on experimental study of after processing with wire electrical discharge machining (WEDM) in Dievar hot work tool steel. Feed rate (fr), current (C), and pulse on time (POn) as independent variables were carried out in experimental study and modelling. Two different membership functions and different estimation types were conducted. The model based plots showed the machining parameters effects on the surface roughness and Gaussian membership function type performed better results than Bell-shaped membership function.
Açıklama
Anahtar Kelimeler
ANFIS, Roughness, Tool steel, WEDM
Kaynak
Journal of the Balkan Tribological Association
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
20
Sayı
4
