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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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