Coating Adherence Optimization for 67Ni18Cr5Si4B Alloy Powder by High-Velocity Oxygen Fuel Spray Based on the Grey Wolf Algorithm Method
DOI:
https://doi.org/10.24002/ijieem.v7i2.7874Keywords:
adhesion , alloy powder , bonding, coating , thermal stressAbstract
Adhesion engineers increasingly use coatings in industrial equipment on gas turbine blades and vanes because of the
benefits of protection against thermal stresses, oxidation, and hot corrosion. However, the coating process has suffered
sub-optimal value determination, posing a serious threat to the economics of coating. While the prevailing approach of
introducing the Taguchi method appears effective in resolving this issue, it sacrifices convergence speed and multiple
optimization solutions. Thus, the grey wolf algorithm is proposed to optimize the coating of 67Ni18Cr5Si4B alloy
powder process parameters, including powder feed rate, spray velocity, and spray distance. The high-velocity oxygen
fuel spray was used, and the objectives were good microhardness, adhesion strength, and porosity. The optimal value to
obtain the best coating for each of the responses was given as 85MPa for the adhesion strength, 0.684909% porosity,
and 583.04HV microhardness. The present study offers important insights into the optimization thresholds to help the
components development process. The quantitative form of this work is new. Fast convergence solutions offered by
metaheuristics such as the grey wolf optimization algorithm are rarely found in the literature.
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Copyright (c) 2026 Anthony Ozimu Adekola, Bayo Yemisi Ogunmola, Modupe Adeoye Onitiri, Nehemiah Sabinus Alozie, Adeyinka Oluwo, John Rajan, Swaminathan Jose, Sunday Ayoola Oke
This work is licensed under a Creative Commons Attribution 4.0 International License.
