A fuzzy logic predictive model for better surface roughness of Ti–TiN coating on AL7075-T6 alloy for longer fretting fatigue life |
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| Affiliation: | 1. Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14853, USA;2. Department of Materials Science and Engineering, University of California, Los Angeles, CA 90095, USA;3. SKF, Research & Technology Development, 3992AE Houten, Netherlands;4. Department of Physics, Chemistry and Biology (IFM) Linköping University, SE-581 83 Linköping, Sweden;5. Department of Materials Science and the Materials Research Laboratory University of Illinois, 104 South Goodwin, Urbana, IL 61801, USA;6. Department of Materials Science, National Taiwan University of Science and Technology, Taipei 10607, Taiwan;7. ICAMS, Ruhr-Universität Bochum, D-44780 Bochum, Germany |
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| Abstract: | In this study, the fretting fatigue resistance of AL7075-T6 alloy is investigated using surface treatment Ti–TiN multilayer coating by physical vapor deposition (PVD) magnetron sputtering technique. A fuzzy logic model was established to forecast the surface roughness of Ti–TiN coating on AL7075-T6 with respect to changes in the input process parameters of DC power, temperature, DC bias voltage, and nitrogen flow rate. The results indicate an agreement between the fuzzy model and experimental results with 95.349% accuracy. The fretting fatigue lives of Ti–TiN-coated specimens with the lowest surface roughness resulting from fuzzy logic were enhanced by 18% at low cyclic fatigue, while at high cyclic fatigue the result was reversed. |
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| Keywords: | AL7075-T6 alloy Ti–TiN coating PVD magnetron sputtering Surface roughness Fuzzy logic Fretting fatigue |
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