Multi Response Optimisation of Cnc Turning Parameters Via Taguchi Method-Based Response Surface Analysis
Yükleniyor...
Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study presents a new method to determine multi-objective optimal cutting conditions and mathematic models for surface roughness (Ra and Rz) on a CNC turning. Firstly, cutting parameters namely, cutting speed, depth of cut, and feed rate are designed using the Taguchi method. The AISI 304 austenitic stainless workpiece is machined by a coated carbide insert under dry conditions. The influence of cutting speed, feed rate and depth of cut on the surface roughness is examined. Secondly, the model for the surface roughness, as a function of cutting parameters, is obtained using the response surface methodology (RSM). Finally, the adequacy of the developed mathematical model is proved by ANOVA. The results indicate that the feed rate is the dominant factor affecting surface roughness, which is minimized when the feed rate and depth of cut are set to the lowest level, while the cutting speed is set to the highest level. The percentages of error all fall within 1%, between the predicted values and the experimental values. This reveals that the prediction system established in this study produces satisfactory results, which are improved performance over other models in the literature. The enhanced method can be readily applied to different metal cutting processes with greater confidence. (C) 2011 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
RSM, Taguchi, Surface roughness, DOE, Mathematical model
Kaynak
Measurement
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
45
Sayı
4
Künye
Asiltürk, İ., Neşeli, S., (2012). Multi Response Optimisation of Cnc Turning Parameters Via Taguchi Method-Based Response Surface Analysis. Measurement, 45(4), 785-794. Doi:10.1016/j.measurement.2011.12.004
