Identification of the paint process for steel sheet applications |
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| Authors: | F.J. Huertos F. Clarysse M. Vermeulen |
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| Affiliation: | 1. Department of Electronic Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan, ROC;2. Department of Photonics, National Sun Yat-sen University, No. 70, Lienhai Rd., Kaohsiung 80424, Taiwan, ROC;3. Graduate Institute of Electro-Optical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei 106, Taiwan, ROC;4. Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia;1. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China;2. School of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, China;1. University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany;2. University Dusseldorf, Medical Faculty, Department of Urology, D-40225 Dusseldorf, Germany |
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| Abstract: | ![]()
Surface waviness of steel sheet is one of the key characteristics determining the final appearance after painting. To support a proper definition of the filters to be applied when defining a waviness parameter, the calculation of the transfer function of the paint process itself represents a crucial aspect. In this study an appropriate methodology is proposed in order to identify the filter characteristics of this paint process. Firstly, the approach is applied to a series of known filters and a number of explicit case studies have been explored to better understand the various mechanisms. Subsequently, the method is used for different painted samples yielding a number of interesting features. It is anticipated that these results can suggest significant improvements for a uniform methodology for the waviness assessment of steel sheet based on 2D surface profiling. |
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