A fuzzy logic predictive model for better surface roughness of Ti–TiN coating on AL7075-T6 alloy for longer fretting fatigue life

•Prediction of TiN coated Al7075-T6 using fuzzy logic model.•Fretting fatigue life investigation of TiN coated samples.•Executing AFM test on TiN coated specimens. In this study, the fretting fatigue resistance of AL7075-T6 alloy is investigated using surface treatment Ti–TiN multilayer coating by p...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2014-03, Vol.49, p.256-265
Main Authors: Zalnezhad, E., Sarhan, Ahmed A.D.
Format: Article
Language:English
Subjects:
AL7075-T6 alloy
Aluminum base alloys
Coating
Direct current
Fatigue (materials)
Fretting fatigue
Fuzzy logic
Mathematical models
Physical vapor deposition
PVD magnetron sputtering
Surface roughness
Titanium
Ti–TiN coating
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Summary:•Prediction of TiN coated Al7075-T6 using fuzzy logic model.•Fretting fatigue life investigation of TiN coated samples.•Executing AFM test on TiN coated specimens. 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.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2013.11.042