Modelling and optimization of the surface roughness in high speed hard turning with coated and uncoated CBN insert
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Universitesi
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study focuses on predictive model for Ra and optimization of cutting conditions in high speed hard turning of X40CrMoV5-1 steel by CBN insert. Cutting speed, feed rate, depth of cut and coating condition have been considered as cutting parameters. The experiments have been performed in CNC lathe according to Taguchi L32 orthogonal array. The first order mathematical model for the Ra has been developed with multiple regression analysis. Optimization study with analysis of signal-to-noise (S/N) ratios has indicated that feed rate is the negatively most significant factor for Ra under dry cutting conditions. The best surface roughness has been achieved by the lower feed rate and uncoated CBN insert. © 2016, Gazi University Eti Mahallesi. All rights reserved.
Açıklama
Anahtar Kelimeler
CBN, Hard turning, Regression analysis, Surface roughness, Taguchi method
Kaynak
Gazi University Journal of Science
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
29
Sayı
4
