Two-Step Statistical and Physical–Mechanical Optimization of Electric Arc Spraying Parameters for Enhanced Coating Adhesion
Magazov N. Rakhadilov B. Bayandinova M.
October 2025Multidisciplinary Digital Publishing Institute (MDPI)
Processes
2025#13Issue 10
This paper presents the development and experimental verification of a second-order polynomial regression model for predicting the adhesion strength of coatings produced by electric arc metallization (EAM). The aim of the study is to optimize three key process parameters: current strength (I), carrier gas pressure (P) and nozzle-to-substrate distance (L) in order to maximize the adhesion strength of the coating to the substrate. Experimental data were obtained from the central composite plan within the response surface method (RSM) and processed using analysis of variance (ANOVA). A pronounced synergistic interaction between pressure and distance was found (P × L), whereas current strength had no statistically significant effect in the range investigated. Optimal parameters (I = 200 A, P = 6.5 bar, L = 190 mm) provided an adhesion strength of ~15.4 kN, which was within 8.5% of the model’s prediction, confirming its accuracy. The proposed two-stage approach—combining statistical modeling with experimental fine-tuning in the global extremum zone—made it possible to improve the accuracy of the forecast and link statistical dependencies with the physical and mechanical mechanisms of adhesion formation (kinetic energy of particles, residual thermoelastic stresses). This method provides engineering-based recommendations for industrial application of EAM, reduces the cost of parameter selection, and improves the reproducibility of coating properties.
adhesion strength , ANOVA , electric arc metallization , nozzle distance , process optimization , response surface analysis method , surface engineering
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Scientific Centre “Protective and Functional Coatings”, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, 070004, Kazakhstan
Plasma Science LLP, Ust-Kamenogorsk, 070018, Kazakhstan
Department of Physics, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, 070000, Kazakhstan
Scientific Centre “Protective and Functional Coatings”
Plasma Science LLP
Department of Physics
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