A Mathematical Model for Optimizing the Protective Coating Spraying Pitch Based on Minimizing the Second Central Moment

Authors

  • Mikhail E. Soloviev
  • Sergey S. Kokarev
  • Sergey L. Baldaev
  • Lev Kh. Baldaev
  • Denis V. Malyshev

DOI:

https://doi.org/10.24160/1993-6982-2026-1-149-159

Keywords:

plasma spraying, protective coatings, pitch parameter optimization, mathematical modeling, coating profile, objective function, second central moment, extrema, biquadratic approximation, spray track overlaps

Abstract

One of the key parameters in the technology of powder plasma spraying and laser cladding of protective coatings is the spray tracks application pitch, which ensures the specified geometric characteristics of the coating and the quality of its surface. The aim of the study is to develop and analyze a mathematical model for optimizing the pitch parameter in the technology of plasma spraying and laser cladding of protective coatings to improve the quality and efficiency of the coating application process. The study is based on mathematical modeling of the plasma spraying process using analytical and numerical methods. An objective function characterizing the coating quality was developed based on the coating profile second central moment. A simple model with a parabolic spray track profile and a more complex model with biquadratic approximation of real profiles are analyzed. Differential and integral calculus methods were used to obtain analytical expressions, and numerical methods were employed to solve equations and plot the curves. A general analytical expression for determining the optimal pitch parameter value is obtained. Extrema of the objective function of various orders, corresponding to different spray track overlapping conditions are identified. It has been found that for the biquadratic track profile model, the optimal pitch value corresponds to weak third-order overlaps, rather than second-order ones as was assumed previously. The proposed optimization method is compared with the existing optimization method based on the area equality criterion. The obtained results can be used to optimize technological processes of plasma spraying and laser cladding of protective coatings in various industry branches, including aerospace, energy, and automotive industries. The proposed method for optimizing the pitch parameter based on minimizing the coating profile second central moment makes it possible to determine optimal spraying conditions more accurately in comparison with existing methods. The possibility to improve the coating quality through the use of third-order overlaps has been revealed. The developed mathematical model opens new prospects for improving the plasma spraying technology.

Author Biographies

Mikhail E. Soloviev

Dr.Sci. (Phys.-Math.), Professor of Institute of Digital Systems, Yaroslavl State Technical University. SPIN-code: 7444-3564; Researcher ID: A-4528-2014; Scopus Author ID: 57190224257; ORCID: 0000-0002-8840-248X, e-mail: me_s@mail.ru

Sergey S. Kokarev

Ph.D. (Phys.-Math.), Director of the Logos Interregional Educational Center, Yaroslavl ORCID: 0000-0001-6944-1400, e-mail: logos-center@mail.ru

Sergey L. Baldaev

Ph.D. (Techn.), Deputy General Director for Technology, LLC «Technological Systems of Protective Coatings», Moscow, Shcherbinka. ORCID: 0000-0002-1917-7979, e-mail: s.baldaev@tspc.ru

Lev Kh. Baldaev

Dr.Sci. (Techn.), General Director of LLC «Technological Systems of Protective Coatings», Moscow, Shcherbinka. ORCID: 0000-0002-9084-8771, e-mail: l.baldaev@tspc.ru

Denis V. Malyshev

Assistant of the Information Systems and Technologies Dept. of Institute of Digital Systems, Yaroslavl State Technical University. ORCID: 0009-0009-9861-1531, e-mail: deniscs49@gmail.com

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Для цитирования: Соловьев М.Е., Кокарев С.С., Балдаев С.Л., Балдаев Л.Х., Малышев Д.В. Математическая модель оптимизации шага напыления защитных покрытий на основе минимизации второго центрального момента // Вестник МЭИ. 2026. № 1. С. 149—159. DOI: 10.24160/1993-6982-2026-1-149-159

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Конфликт интересов: авторы заявляют об отсутствии конфликта интересов

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3. Gaur U.P., Kamari E. Applications of Thermal Spray Coatings: a Review. J. Thermal Spray and Eng. 2024;4:106—114.

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6. Nga Thi-Hong Pham, Van-Thuc Nguyen. Behaviour of TiC Particles on the Co50-Based Coatings by Laser Cladding: Morphological Characteristics and Growth Mechanism. Advances in Materials Sci. and Eng. 2020(4):1—16.

7. Davis J.R. Handbook of Thermal Spray Technology. Almere: ASM International, 2004.

8. Laser-based Additive Manufacturing of Metal Parts Modeling, Optimization, and Control of Mechanical Properties. Ed. by Linkan Bian, Nima Shamsaei, John M. Boca Raton: CRC Press, 2017.

9. Boulos M.I., Fauchais P.L., Heberlein J.V.R. Thermal Spray Fundamentals: from Powder to Part. N.-Y.: Springer, 2021.

10. De Oliveira U., Ocelík V., De Hosson J.Th.M. Analysis of Coaxial Laser Cladding Processing Conditions. Surface & Coatings Technol. 2005;197:127—136.

11. Bhusal S. e. a. A Computational Approach for Predicting Microstructure and Mechanical Properties of Plasma Sprayed Ceramic Coatings from Powder to Bulk. Surface & Coatings Technol. 2019;374:1—11.

12. Ocelik V., Nenadl O., Palavra A., De Hosson J. Th.M. On the Geometry of Coating Layers Formed by Overlap. Surface & Coatings Technol. 2014;242:54—61.

13. Jhavar S., Jain N.K., Paul C.P. Development of Micro-plasma Transferred arc (µ-PTA) Wire Deposition Process for Additive Layer Manufacturing Applications. J. Materials Proc. Technol. 2014;214:1102— 1110.

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19. Forghani S.M., Ghazali M.J., Muchtara A., Daud A.R. Mechanical Properties of Plasma Sprayed Nanostructured TiO2 Coatings on Mild Steel. Ceramics International. 2014;40:7049—7056.

20. Lorenzo-Bañuelos M. e. a. Influence of Atmospheric Plasma Spray Parameters (APS) on the Mechanical Properties of Ni-Al Coatings on Aluminum Alloy Substrate. Metals. 2021;11(4):612.

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22. Kanta A.-F., Montavon G., Coddet C. Predicting Spray Processing Parameters from Required Coating Structural Attributes by Artificial Intelligence. Advanced Engineering Materials. 2006;8(7):628—635.

23. Choudhury T.A., Hosseinzadeh N., Berndt C.C. Artificial Neural Network Application for Predicting In-flight Particle Characteristics of an Atmospheric Plasma Spray Process. Surf. Coat. Technol. 2011;205:4886—4895.

24. Yao Y. e. a. Modelling Multivariate Coating Thickness Distribution in Plasma Spraying Considering Asymmetrical Spatial Distribution of Powder. Surface and Coatings Technol. 2024;495:131566

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For citation: Soloviev M.E., Kokarev S.S., Baldaev S.L., Baldaev L.Kh., Malyshev D.V. A Mathematical Model for Optimizing the Protective Coating Spraying Pitch Based on Minimizing the Second Central Moment. Bulletin of MPEI. 2026;1:149—159. (in Russian). DOI: 10.24160/1993-6982-2026-1-149-159

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Conflict of interests: the authors declare no conflict of interest

Published

2026-02-21

Issue

Section

Mathematical Modeling, Numerical Methods and Program Complexes (Technical Sciences) (1.2.2)