Modeling of TiN coating roughness using fuzzy logic approach

Abdul Syukor, Mohamad Jaya and Nur Athirah , Abdul Kadir and Mua'th, Mohamad Jarrah (2014) Modeling of TiN coating roughness using fuzzy logic approach. Science International (Lahore), 26 (4). pp. 1563-1567. ISSN 1013-5316

PDF Modeling_of_TiN_Coating_Roughness_Using_Fuzzy_Logic_Approach.pdf - Published Version Restricted to Registered users only Download (531kB) | Request a copy

Abstract

In this paper, a new approach in predicting the Titanium Nitrite (TiN) coating roughness using fuzzy logic is implemented. Insert cutting tools were coated with TiN using Physical Vapor Deposition (PVD) sputtering process. Central cubic design (CCD) was used to design the optimum experimental point and the collected experimental data was used to develop the fuzzy rules. Bell shape and triangular membership functions were proposed in developing the fuzzy rule-based model. Result of the fuzzy rule-based model was validated using residual error and prediction accuracy. The fuzzy rule based model with triangular membership function showed less residual error and higher prediction accuracy with 7.85% and 95.05%, respectively. The result showed that the fuzzy logic could be a good alternative approach in predicting TiN coatings roughness.

Item Type:	Article
Uncontrolled Keywords:	fuzzy logic, coating roughness, PVD, magnetron sputtering
Subjects:	T Technology > TS Manufactures
Divisions:	Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User:	Mr. Abdul Syukor Mohamad Jaya
Date Deposited:	26 Jan 2015 04:56
Last Modified:	28 May 2015 04:36
URI:	http://eprints.utem.edu.my/id/eprint/14138
Statistic Details:	View Download Statistic

Actions (login required)

View Item