Yoshinobu Takahashi, Fangshou Chang, F. Kato, H. Iwata
{"title":"Analysis of Paint Film Thickness Distribution Based on Particle Method Considering Time Series Change of Flow","authors":"Yoshinobu Takahashi, Fangshou Chang, F. Kato, H. Iwata","doi":"10.1109/CASE49997.2022.9926433","DOIUrl":null,"url":null,"abstract":"Here, the thickness distribution of a spray-painted film was analyzed by computational fluid dynamics, considering the change in the paint shape due to flow. We focused on the paint adhering to the target because this behavior has not been previously examined. The particle method was adopted for the calculation because it enabled a stable analysis of the paint droplets and the complex uneven surface of the coating film. A high-speed camera and image analysis were used to capture the spray painting and identify the values of the parameters. Using the developed model, we analyzed the change in the film thickness distribution for the scene of painting on a flat plate in the vertical direction. It was confirmed that the numerical and experimental data correlated for two conditions of the target distance.","PeriodicalId":325778,"journal":{"name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE49997.2022.9926433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Here, the thickness distribution of a spray-painted film was analyzed by computational fluid dynamics, considering the change in the paint shape due to flow. We focused on the paint adhering to the target because this behavior has not been previously examined. The particle method was adopted for the calculation because it enabled a stable analysis of the paint droplets and the complex uneven surface of the coating film. A high-speed camera and image analysis were used to capture the spray painting and identify the values of the parameters. Using the developed model, we analyzed the change in the film thickness distribution for the scene of painting on a flat plate in the vertical direction. It was confirmed that the numerical and experimental data correlated for two conditions of the target distance.