TY - JOUR
TI - Development of temperature statistical model when machining of aerospace alloy materials
AU - Kadirgama Kumaran
AU - Rahman Mohammad Azizur
AU - Mohamed B
AU - Bakar R A
AU - Ismail Ahmad Rasdan
JN - Thermal Science
PY - 2014
VL - 18
IS - 11
SP - 269
EP - 282
PT - Article
AB - This paper presents to develop first-order models for predicting the cutting  temperature for end-milling operation of Hastelloy C-22HS by using four  different coated carbide cutting tools and two different cutting  environments. The first-order equations of cutting temperature are developed  using the response surface methodology (RSM). The cutting variables are  cutting speed, feed rate, and axial depth. The analyses are carried out with  the aid of the statistical software package. It can be seen that the model is  suitable to predict the longitudinal component of the cutting temperature  close to those readings recorded experimentally with a 95% confident level.  The results obtained from the predictive models are also compared with  results obtained from finite-element analysis (FEA). The developed  first-order equations for the cutting temperature revealed that the feed rate  is the most crucial factor, followed by axial depth and cutting speed. The  PVD coated cutting tools perform better than the CVD-coated cutting tools in  terms of cutting temperature. The cutting tools coated with TiAlN perform  better compared with other cutting tools during the machining performance of  Hastelloy C-22HS. It followed by TiN/TiCN/TiN and CVD coated with  TiN/TiCN/Al2O3 and TiN/TiCN/TiN. From the finite-element analysis, the  distribution of the cutting temperature can be discussed. High temperature  appears in the lower sliding friction zone and at the cutting tip of the  cutting tool. Maximum temperature is developed at the rake face some distance  away from the tool nose, however, before the chip lift away.