naa a22 4500 510823300 CHVBK 20180411083544.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s12541-013-0063-5 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0063-5 Surface hardness prediction of CrN thin film coating on AL7075-T6 alloy using fuzzy logic system [Elektronische Daten] [Erfan Zalnezhad, Ahmed Sarhan, Mohd Hamdi] 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. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 AL7075-T6 alloy nationallicence TiN coating nationallicence PVD magnetron sputtering nationallicence Adhesion nationallicence Fuzzy logic model nationallicence Zalnezhad Erfan Center of Advanced Manufacturing and Material Processing, Department of Engineering Design and Manufacture, University of Malaya, 50603, Kuala Lumpur, Malaysia aut Sarhan Ahmed Department of Mechanical Engineering, Faculty of Engineering, Assiut University, 71516, Assiut, Egypt aut Hamdi Mohd Center of Advanced Manufacturing and Material Processing, Department of Engineering Design and Manufacture, University of Malaya, 50603, Kuala Lumpur, Malaysia aut International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/3(2013-03-01), 467-473 2234-7593 14:3<467 2013 14 12541 https://doi.org/10.1007/s12541-013-0063-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0063-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zalnezhad Erfan Center of Advanced Manufacturing and Material Processing, Department of Engineering Design and Manufacture, University of Malaya, 50603, Kuala Lumpur, Malaysia aut NATIONALLICENCE 700 1- Sarhan Ahmed Department of Mechanical Engineering, Faculty of Engineering, Assiut University, 71516, Assiut, Egypt aut NATIONALLICENCE 700 1- Hamdi Mohd Center of Advanced Manufacturing and Material Processing, Department of Engineering Design and Manufacture, University of Malaya, 50603, Kuala Lumpur, Malaysia aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/3(2013-03-01), 467-473 2234-7593 14:3<467 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer