Modeling of TiN coating thickness using RSM approach
In this paper, modeling of Titanium Nitrite (TiN) coating thickness using Response Surface Method (RSM) is implemented. Insert cutting tools were coated with TiN using Physical Vapor Deposition (PVD) sputtering process. N2 pressure, Argon pressure and turntable speed were selected as process va...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Trans tech Publication, Switzerland
2014
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| Online Access: | http://eprints.utem.edu.my/id/eprint/14194/1/Modeling_of_TiN_Coating_Thickness_Using_RSM_Approach.pdf http://eprints.utem.edu.my/id/eprint/14194/ https://www.scientific.net/KEM.594-595.556 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |
| Summary: | In this paper, modeling of Titanium Nitrite (TiN) coating thickness using Response
Surface Method (RSM) is implemented. Insert cutting tools were coated with TiN using Physical
Vapor Deposition (PVD) sputtering process. N2
pressure, Argon pressure and turntable speed were
selected as process variables while the coating thickness as output response. The coating thickness as
an important coating characteristic was measured using surface profilometer equipment. Analysis of
variance (ANOVA) was used to determine the significant factors influencing TiN coating thickness.
Then, a polynomial linear model represented the process variables and coating thickness was
developed. The result indicated that the actual validation data fell within the 90% prediction interval
(PI) and the percentage of the residual errors were low. Findings from this study suggested that Argon
pressure, N2
pressure and turntable speed influenced the TiN coating thickness. |
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