Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling
The development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, it is po...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/673 |
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| author | Tomislav Šolić Dejan Marić Ivan Peko Ivan Samardžić |
| author_facet | Tomislav Šolić Dejan Marić Ivan Peko Ivan Samardžić |
| author_sort | Tomislav Šolić |
| collection | DOAJ |
| description | The development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, it is possible to lessen the intensity of corrosion mechanisms’ development. In order for the selected surface protection technology to provide its full protective action, it is necessary to be familiar with its process parameters. This paper deals with a surface protection system that creates a barrier between the aggressive environment and the base material. The tested barrier was created on a base material surface by electrostatic powder spraying. In this experiment, three types of base material (carbon steel, aluminum and galvanized steel) were coated by applying different combinations of operating parameters. Operating parameters, i.e., the voltage and strength of the electric current, were taken as numerical input variables in the experiment. Each experiment design was focused on measuring the thickness of the protective layer. Analysis of the obtained results and statistical data processing confirmed that appropriate parameters (input variables) provided the target thickness of the protective coating on each of the tested materials. Optimization of parameters contributes to the efficiency of production, shortens the processing time and ensures that coating thickness stays within the limits defined either by the manufacturer or the end user. |
| format | Article |
| id | doaj-art-71cc8136d8fe431899728d16af633ea6 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-71cc8136d8fe431899728d16af633ea62025-01-24T13:20:23ZengMDPI AGApplied Sciences2076-34172025-01-0115267310.3390/app15020673Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression ModelingTomislav Šolić0Dejan Marić1Ivan Peko2Ivan Samardžić3Mechanical Engineering Faculty in Slavonski Brod, University of Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, CroatiaMechanical Engineering Faculty in Slavonski Brod, University of Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, CroatiaFaculty of Science, University of Split, Ruđera Boškovića 33, 21000 Split, CroatiaMechanical Engineering Faculty in Slavonski Brod, University of Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, CroatiaThe development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, it is possible to lessen the intensity of corrosion mechanisms’ development. In order for the selected surface protection technology to provide its full protective action, it is necessary to be familiar with its process parameters. This paper deals with a surface protection system that creates a barrier between the aggressive environment and the base material. The tested barrier was created on a base material surface by electrostatic powder spraying. In this experiment, three types of base material (carbon steel, aluminum and galvanized steel) were coated by applying different combinations of operating parameters. Operating parameters, i.e., the voltage and strength of the electric current, were taken as numerical input variables in the experiment. Each experiment design was focused on measuring the thickness of the protective layer. Analysis of the obtained results and statistical data processing confirmed that appropriate parameters (input variables) provided the target thickness of the protective coating on each of the tested materials. Optimization of parameters contributes to the efficiency of production, shortens the processing time and ensures that coating thickness stays within the limits defined either by the manufacturer or the end user.https://www.mdpi.com/2076-3417/15/2/673corrosionelectrostatic sprayingpowder coatingsurface protectionparameter optimization |
| spellingShingle | Tomislav Šolić Dejan Marić Ivan Peko Ivan Samardžić Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling Applied Sciences corrosion electrostatic spraying powder coating surface protection parameter optimization |
| title | Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling |
| title_full | Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling |
| title_fullStr | Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling |
| title_full_unstemmed | Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling |
| title_short | Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling |
| title_sort | optimization of coating process parameters by analysis of target powder thickness and regression modeling |
| topic | corrosion electrostatic spraying powder coating surface protection parameter optimization |
| url | https://www.mdpi.com/2076-3417/15/2/673 |
| work_keys_str_mv | AT tomislavsolic optimizationofcoatingprocessparametersbyanalysisoftargetpowderthicknessandregressionmodeling AT dejanmaric optimizationofcoatingprocessparametersbyanalysisoftargetpowderthicknessandregressionmodeling AT ivanpeko optimizationofcoatingprocessparametersbyanalysisoftargetpowderthicknessandregressionmodeling AT ivansamardzic optimizationofcoatingprocessparametersbyanalysisoftargetpowderthicknessandregressionmodeling |