Збірник наукових праць

DOI: https://doi.org/10.32515/2664-262X.2024.9(40).1.135-143

Development of the method for ensuring quality paint coating during painting and body work in car service systems

Ludmyla Tarandushka, Ivan Tarandushka

About the Authors

Ludmyla Tarandushka, Professor, Doctor in Technics (Doctor of Technic Sciences), Cherkasy State Technological University, Cherkasy, Ukraine, e-mail: tarandushkal@ukr.net, ORCID ID: 0000-0002-1410-9088

Ivan Tarandushka, Senior Lecturer, Cherkasy State Technological University, Cherkasy, Ukraine, e-mail: tarandushka@ukr.net, ORCID ID: 0000-0002-5182-3811

Abstract

A technique has been developed that makes it possible to determine the quality of paintwork in car service systems. This technique is based on the determination of important parameters that describe the technological process of applying a paint coating. Based on the Farrar-Glober algorithm, among the 16 parameters of the system, 8 independent ones affecting the quality of the coating were singled out and their degree of importance was determined. Isolation of independent parameters contributed to the construction of an adequate model for predicting the quality of the paint coating. This makes it possible to organize competitive car service systems for the restoration of vehicle paint coatings. Thanks to the proposed methodology, it becomes possible to provide the organizational and technological structure of production with the necessary equipment and technologies. The efficiency of car service enterprises increases, costs decrease. This technique can also be used to predict the quality of the paint coating, taking into account the important factors of this process. When implementing the proposed methodology, a mathematical model was developed for determining the quality of the paint coating from the factors affecting this process. The average quadratic deviation of the model values of the quality level of the obtained paint coating from the statistical values was =0,0008, which confirms the adequacy of the model. So, it can be concluded that the obtained linear model describing the level of quality of the applied paint coating can be used to predict the quality of the paint coating, knowing the 8 input parameters of the system, namely: - lighting of the dyeing chamber; - polymerization furnace (principle of operation); – method of paint feding; – compressed air source capacity; – amount of diluent; - temperature of the applied material; - distance from the spray gun to the base; - the number of applied material layers.

Keywords

parameters, car service systems, paint coatings, mathematical model

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References

1. Hnatov, A.V. & Arhun, Sch.V. (2015). Suchasni tekhnolohii zovnishn'oho mahnitnoimpul'snoho kuzovnoho remontu avtomobiliv [Modern technologies of external magnetic pulse body repair of cars]. Visnyk Vinnyts'koho politekhnichnoho instytutu  Bulletin of the Vinnytsia Polytechnic Institute, 4, 103-108. [in Ukranian].

2. Kipriyanov, F. A., Shushkov, R. A. & Mikhailov, A. S. (2020). Quality research of paintwork of Volkswagen Tuareg car body elements. IOP Conference Series Materials Science and Engineering, 832(1), P.1-8. Retrieved from https://www.researchgate.net/publication/342050669 _Quality_research_of_paintwork_ of_Volkswagen_Tuareg_car_body_elements [in English].

3. Tarandushka, L.A. (2020). Pobudova funktsional'noi modeli avtoservisnoho pidpryiemstva [Building a functional model of a car service enterprise]. Visnyk Natsional'noho transportnoho universytetu  Bulletin of the National Transport University, 1(46), 333–340. [in Ukranian].

4. Molina, J., Solanes, J. E., Arnal, L. & Tornero, J. (2017). On the detection of defects on specular car body surfaces Robotics and Computer-Integrated Manufacturing, 48, 263-78, Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0736584517300194 [in English].

5. Ludchenko, O. A. (2003). Tekhnichne obsluhovuvannia i remont avtomobiliv [Car maintenance and repair]. K. : Znannia-Pres [in Ukranian].

6. Tarandushka, L.A. & Tarandushka, I.P. (2014) Tekhnolohiia monitorynhu pokaznykiv iakosti tekhnichnoho obsluhovuvannia ta remontu avtomobiliv [Technology for monitoring quality indicators of car maintenance and repair]. Visnyk Chernihivs'koho derzhavnoho tekhnolohichnoho universytetu. Seriia «Tekhnichni nauky»  Bulletin of the Chernihiv State University of Technology. Series "Technical Sciences", 1(71), 116-122 [in Ukranian].

7. Keller, H. (2023). Steady Growth Key for Top Injection Molders. Plastics News.. Retrieved from www.plasticsnews.com/all-things-data/top-injection-molders-report-growing-sales [in English].

8. Tarandushka, L.A. et al. (2021). Metody otsiniuvannia iakosti tekhnolohichnykh protsesiv u systemakh avtoservisu [Methods of evaluating the quality of technological processes in car service systems]. Kherson : OLDI-PLIuS [in Ukranian].

9. Snytiuk, V. Ye. (2008). Prohnozuvannia. Modeli. Metody. Alhorytmy [Prognostication. Models. Methods. Algorithms]. Kyiv: Maklaut. [in Ukranian].

10. Shrestha, N. (2020). Detecting Multicollinearity in Regression Analysis. American Journal of Applied Mathematics and Statistics, 8(2): 39-42. Retrieved from https://www.researchgate.net/ publication/342413955_Detecting_Multicollinearity_in_Regression_Analysis [in English].

Citations

1. Гнатов А.В., Аргун Щ.В. Сучасні технології зовнішнього магнітноімпульсного кузовного ремонту автомобілів. Вісник Вінницького політехнічного інституту. 2015. № 4. С.103-108.

2. Kipriyanov F. A., Shushkov R. A., Mikhailov A. S. Quality research of paintwork of Volkswagen Tuareg car body elements. IOP Conference Series Materials Science and Engineering. 2020. 832(1). 1-8. URL: https://www.researchgate.net/publication/342050669_Quality_research_of_paintwork_of_Volkswagen_Tuareg_car_body_elements (дата звернення: 15.03.2024).

3. Тарандушка Л.А. Побудова функціональної моделі автосервісного підприємства. Вісник Національного транспортного університету. 2020. №1(46). С. 333–340.

4. Molina J, Solanes J. E., Arnal L. and Tornero J. On the detection of defects on specular car body surfaces Robotics and Computer-Integrated Manufacturing. 2017. Vol. 48 263-78. URL: https://www.sciencedirect.com/science/article/abs/pii/S0736584517300194 (дата звернення: 16.03.2024).

5. Лудченко О. А. Технічне обслуговування і ремонт автомобілів : підручник. К. : Знання-Прес, 2003. 511 с.

6. Тарандушка Л.А. Тарандушка І.П. Технологія моніторингу показників якості технічного обслуговування та ремонту автомобілів. Вісник Чернігівського державного технологічного університету. Серія «Технічні науки». 2014. №1(71). С.116-122.

7. Keller, H. Steady Growth Key for Top Injection Molders. Plastics News. 2023. URL: www.plasticsnews.com/all-things-data/top-injection-molders-report-growing-sales. (дата звернення: 15.03.2024).

8. Методи оцінювання якості технологічних процесів у системах автосервісу : монографія / Л.А. Тарандушка та ін. Херсон : ОЛДІ-ПЛЮС, 2021. 212 с.

9. Снитюк В. Є. Прогнозування. Моделі. Методи. Алгоритми. Київ: Маклаут, 2008. 364.

10. Shrestha N. Detecting Multicollinearity in Regression Analysis. American Journal of Applied Mathematics and Statistics. 2020. 8(2): 39-42. URL: https://www.researchgate.net/ publication/ 342413955_Detecting_Multicollinearity_in_Regression_Analysis. (дата звернення: 17.03.2024).