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DOI: 10.15507/2658-4123.035.202503.529-553

 

Distribution Law of Corrosion of Agricultural Machinery Components under the Influence of Salt Spray

 

Nikolay V. Limarenko
Dr.Sci. (Eng.), Associate Professor, Professor of the Department of Instrumentation and Biomedical Engineering, Chief Researcher of the RSM-Star Research Laboratory of the Institute of Advanced Mechanical Engineering FSBEI, Don State Technical University (1 Gagarin Square, Rostov-on-Don 344000, Russian Federation), ORCID: https://orcid.org/0000-0003-3075-2572, Researcher ID: O-5342-2017, This email address is being protected from spambots. You need JavaScript enabled to view it.

Dmitry N. Savenkov
Cand.Sci. (Eng.), Associate Professor, Associate Professor of the Department of Technology and Food Production Technologies, Head of the Research Laboratory RSM­Star of the Institute of Advanced Mechanical Engineering, Don State Technical University (1 Gagarin Square, Rostov-on-Don 344000, Russian Federation), ORCID: https://orcid.org/0000-0003-4546-424X, savenkov­This email address is being protected from spambots. You need JavaScript enabled to view it.

Dmitry I. Gladkih
Postgraduate Student of the Department of Metal­Cutting Machines and Tools, Research Fellow of the RSM­Star Research Laboratory of the Institute of Advanced Mechanical Engineering, Don State Technical University (1 Gagarin Square, Rostov-on-Don 344000, Russian Federation), ORCID: https://orcid.org/0000-0003-2292-256X, Researcher ID: HDM-6104-2022, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alexey A. Shcherbakov
Assistant at the Department of Food Production Engineering and Technology, Research Fellow at the RSM­Star Research Laboratory of the Institute of Advanced Mechanical Engineering, Don State Technical University (1 Gagarin Square, Rostov-on-Don 344000, Russian Federation), ORCID: https://orcid.org/0000-0001-6856-2219, Researcher ID: GQI-3325-2022, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Abstract
Introduction. The development of the agro-industrial complex until 2030 requires increasing the efficiency of the machine and tractor fleet with account for corrosion processes accelerating equipment wear. Existing assessment methods are based on empirical data and do not provide accurate forecasting. The introduction of AI and digital solutions will automate testing, reduce costs and improve the accuracy of assessing degradation caused by corrosion processes.
Aim of the Study. The aim is to determine the compliance of experimental data on the effect of salt spray on the corrosion of agricultural machinery components with the distribution law through the example of reversing light switches.
Materials and Methods. The object of study was reversing light switches widely used in agricultural machinery. The studies were carried out in a salt spray chamber with parameters corresponding to GOST R 52230 and GOST 9.302 for 200 hours with intermediate inspections every 48 hours. During the tests, the degree of corrosion was determined, calculated by the area of damaged sections. Using mathematical methods there was calculated the mean deviation, median, variance, standard deviation, skewness, kurtosis, and range of the sample.
Results. As a result of the tests, the operability of the samples was confirmed and the obtained data compliance with the Weibull distribution law was assessed. It was experimentally established that the active phase of surface degradation of reversing light switches increases starting from 96 hours of exposure in the salt spray chamber that is caused by the destruction of protective coatings and progress of pitting corrosion. The use of a quadratic regression model made it possible to describe the dependence of corrosion damage on exposure time.
Discussion and Conclusion. The statistical analysis of the sample confirmed Weibull distribution fit that makes it possible to predict further corrosion progress and improve performance assessment of products in salt spray conditions. Obtained parameters allow predicting the resource of components. The results of the study provide a basis for creating digital twins and adaptive maintenance systems using artificial intelligence, which minimize machinery downtime.

Keywords: resource testing of agricultural machinery, accelerated resource testing, salt spray exposure, corrosion in agricultural machinery

Funding: The study was carried out within the framework of the implementation of the Grant Project of the Ministry of Science and Higher Education of the Russian Federation 075-03-2025-302/1 dated 03.25.2025.

Conflict of interest: The authors declare that there is no conflict of interest.

For citation: Limarenko N.V., Savenkov D.N., Gladkih D.I., Shcherbakov A.A. Distribution Law of Corrosion of Agricultural Machinery Components under the Influence of Salt Spray. Engineering Technologies and Systems. 2025;35(3):529–553. https://doi.org/10.15507/2658-4123.035.202503.529-553

Authors contribution:
N. V. Limarenko – controlling and mentoring the study planning and conducting; formulating the study ideas, aims and objectives; preparing and presenting the manuscript, specifically visualizing and presenting the data.
D. N. Savenkov – conducting the study, specifically performing the experiments, collecting data; preparing and presenting the manuscript, specifically visualizing and presenting the data.
D. I. Gladkih – conducting the study, specifically performing the experiments, collecting data; preparing and presenting the manuscript, specifically visualizing and presenting the data.
A. A. Shcherbakov – conducting the study, specifically performing the experiments, collecting data; preparing and presenting the manuscript, specifically visualizing and presenting the data.

All authors have read and approved the final manuscript.

Submitted 14.04.2025;
revised 22.04.2025;
accepted 13.05.2025

 

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