Zalnezhad, E. and Sarhan, Ahmed Aly Diaa Mohammed and Hamdi, M. (2013) Surface hardness prediction of CrN thin film coating on AL7075-T6 alloy using fuzzy logic system. International Journal of Precision Engineering and Manufacturing, 14 (3). pp. 467-473. ISSN 2234-7593,
Full text not available from this repository.Abstract
In recent years, CrN coating has been identified as one of the most promising protective layers on surfaces of tools and dies due to its excellent mechanical properties, corrosion resistance, and surface hardness. This study presents the predicting of chromium nitride (CrN) coating surface hardness on AL7075-T6 using fuzzy logic technique. First, Al7075-T6 was coated with CrN at different parameter conditions, after which the surfaces hardness of the CrN-coated specimens was measured using a micro hardness machine. Next, a fuzzy logic model was established to predict the surface hardness of CrN coating on AL7075-T6 with respect to changes in input process parameters, DC power, temperature, and nitrogen flow rate based on the trained data obtained from the micro hardness test. Three membership functions were allocated in connection with each model input. Finally, five new experimental tests were carried out to verify the predicted results achieved via the fuzzy logic model. The results indicate an agreement between the fuzzy model and experimental results with 94.664 accuracy.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | al7075-t6 alloy tin coating pvd magnetron sputtering adhesion fuzzy logic model chromium nitride coatings fretting fatigue behavior drilling gfrp composites tribological properties parameters roughness life optimization performance operations |
| Subjects: | T Technology > TS Manufactures |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr. Mohammed Salim Abd Rahman |
| Date Deposited: | 12 Jul 2013 02:27 |
| Last Modified: | 16 Jan 2020 07:47 |
| URI: | http://eprints.um.edu.my/id/eprint/7241 |
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