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

E. Zalnezhad, Ahmed A.D. Sarhan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

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.

Original languageEnglish
Pages (from-to)256-265
Number of pages10
JournalMeasurement: Journal of the International Measurement Confederation
Volume49
Issue number1
DOIs
StatePublished - Mar 2014
Externally publishedYes

Bibliographical note

Funding Information:
The authors acknowledge the financial support under the University Malaya Research Grant (Grant No. UM.TNC2/RC/AET/GERAN (UMRG) RP001C-13AET) from the University of Malaya, Malaysia.

Keywords

  • AL7075-T6 alloy
  • Fretting fatigue
  • Fuzzy logic
  • PVD magnetron sputtering
  • Surface roughness
  • Ti-TiN coating

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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