Prediction of TiN film coating characteristics using fuzzy logic techniques

Nur Athirah, Kadir (2014) Prediction of TiN film coating characteristics using fuzzy logic techniques. Project Report. UTeM. (Submitted)

Text PREDICTION OF TiN FILM COATING CHARACTERISTICS.pdf Download (491kB)

Abstract

High competitiveness in today’s industry is determined by high quality, low price and first to market products. In early 1980s, the Titanium Nitride (TiN) was the first commercialized PVD coating material. The original application for this metal was in the military aerospace industry specifically because of its efficiencies in structural qualities, a result of titanium’s strength and density. This study is about the prediction of the surface cutting quality by identifying using the fuzzy techniques approach. There are coating process parameters that will be included in this study which are Nitrogen (N2) pressure, Argon pressure and turntable speed. 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 generalized bell membership function showed less residual error and higher prediction accuracy with 4.48% and 95.52% respectively. The result showed that the fuzzy logic could be a good alternative approach in predicting TiN coatings.

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