University of Leicester
Browse

Optimizing Cold Spray Parameters for High Entropy Alloy Coatings Using Taguchi and Box–Behnken Design Approaches for Mechanically Alloyed Powder

Download (11.42 MB)
journal contribution
posted on 2024-12-03, 11:15 authored by Deepak Sharma, Dibakor Boruah, Ahamed Ameen, Ali Alperen Bakir, Shiladitya Paul

The present study focused on optimizing the cold spray (CS) process parameters for depositing Fe20Cr20Mn20Ni20Co20 (Cantor alloy) coatings using mechanically alloyed (MA) powder. A two-step design of experiments approach was employed, beginning with the initial screening of input variables using the L8 Taguchi method, followed by the refinement of process parameters through the Box–Behnken design of experiments. Key performance indicators included deposition efficiency (DE), coating thickness per pass, and microstructural parameters including porosity, cracks, and interfacial defects/delamination. The study identified process gas temperature as the primary factor influencing both DE and thickness per pass. Higher gas temperature and pressure, combined with increased scanning speed, resulted in higher DE. The DE of the MA Cantor alloy powder peaked at around 14-15%, with a deposit density greater than 99% achieved at the highest process gas temperature and pressure (1000 °C and 60 bar, respectively). The average hardness of the optimal CS coating deposited using MA powder was found to be 679 ± 17 HV0.1, which is approximately 90% greater than the average hardness reported for CS coatings deposited using atomized powder.

Funding

This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 958457.

History

Author affiliation

College of Science & Engineering Engineering

Version

  • VoR (Version of Record)

Published in

Journal of Thermal Spray Technology

Volume

33

Pagination

2278–2297

Publisher

Springer Science and Business Media LLC

issn

1059-9630

eissn

1544-1016

Copyright date

2024

Available date

2024-12-03

Language

en

Deposited by

Dr Shiladitya Paul

Deposit date

2024-11-05

Usage metrics

    University of Leicester Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC