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Fuzzy Logic Modeling for Higher Adhesion Strength of Cr/Cr-N Multilayer Thin Film Coating on Aerospace AL7075-T6 Alloy for Higher Fretting Fatigue Life

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Transactions on Engineering Technologies

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Abstract

Adhesion strength of coating is one of the most imperative factors in magnetron sputtering technique. Therefore; exploring the effect of coating parameters on enhancing adhesion strength of coating to substrate is extremely important. In this study, an experimental assessment was carried out to discover the fretting fatigue life of Cr/CrN coated AL7075-T6 alloy with higher adhesion strength to substrate by application of PVD magnetron sputtering technique. A fuzzy logic method was utilized to examine how to achieve higher adhesion of coating regarding to changes in input process parameters including DC power, nitrogen flow rate and temperature for fretting fatigue life Improvement.

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Acknowledgment

This research was funded by the UMRG grant with number: RP021C-13AET from the University of Malaya, Malaysia.

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Authors and Affiliations

  1. Center of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Erfan Zalnezhad & Ahmed Aly Diaa Mohammed Sarhan

Authors
  1. Erfan Zalnezhad
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  2. Ahmed Aly Diaa Mohammed Sarhan
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Corresponding author

Correspondence to Ahmed Aly Diaa Mohammed Sarhan .

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Editors and Affiliations

  1. Computer & Communication, Catholic University of DaeGu, DaeGu, Korea, Republic of (South Korea)

    Haeng Kon Kim

  2. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. College of Engineering, California State Polytechnic University, Pomona, California, USA

    Mahyar A. Amouzegar

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Zalnezhad, E., Sarhan, A.A.D.M. (2014). Fuzzy Logic Modeling for Higher Adhesion Strength of Cr/Cr-N Multilayer Thin Film Coating on Aerospace AL7075-T6 Alloy for Higher Fretting Fatigue Life. In: Kim, H., Ao, SI., Amouzegar, M. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9115-1_22

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  • DOI: https://doi.org/10.1007/978-94-017-9115-1_22

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9114-4

  • Online ISBN: 978-94-017-9115-1

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