Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/22477
Title: Mathematical modeling of surface roughness for evaluating the effects of cutting parameters and coating material
Authors: Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
Çakır, Mustafa Cemal
Ensarioğlu, Cihat
Demirayak, İlker
14044730900
23972265100
57199586035
Keywords: Mathematical modeling
Surface roughness
Cutting parameters
Coating materials
Tool wear measurement
Steel
Prediction
Vibrations
Forces
Speed
Engineering
Materials science
Carbides
Coatings
Friction
Mathematical models
Metal analysis
Plating
Surface properties
Surface roughness
Tool steel
Coating layers
Cutting conditions
Cutting speeds
Depth of cut
Feed rates
Intermediate layers
Mathematical modeling
Modeling of surface roughness
Steel AISI P20
Turning experiments
Two types
Underlayer
Work piece material
Surfaces
Issue Date: 1-Jan-2009
Publisher: Elsevier Science
Citation: Çakır, M. C. vd. (2009). "Mathematical modeling of surface roughness for evaluating the effects of cutting parameters and coating material". Journal of Materials Processing Technology, 209(1), 102-109.
Abstract: The work presented in this paper examines the effects of cutting parameters (cutting speed, feed rate and depth of cut) onto the surface roughness through the mathematical model developed by using the data gathered from a series of turning experiments performed. An additional investigation was carried out in order to evaluate the influence of two well-known coating layers onto the surface roughness. For this purpose, the experiments were repeated for two CNMG 120408 (with an ISO designation) carbide inserts having completely the same geometry and substrate but different coating layers, in a manner that identical cutting conditions would be ensured. The workpiece material machined was cold-work tool steel AISI P20. Of the two types of inserts employed; Insert 1 possesses a coating consisting of a TiCN underlayer, an intermediate layer of Al2O3 and a TiN outlayer, all deposited by CVD; whilst Insert 2 is PVD coated with a thin TiAlN layer (3 +/- 1 mu m). The total average error of the model was determined to be 4.2% and 5.2% for Insert 1 and Insert 2, respectively; which proves the reliability of the equations established.
URI: https://doi.org/10.1016/j.jmatprotec.2008.01.050
https://www.sciencedirect.com/science/article/pii/S0924013608000952
http://hdl.handle.net/11452/22477
ISSN: 0924-0136
Appears in Collections:Scopus
Web of Science

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