Analysis of Paint Film Thickness Distribution Based on Particle Method Considering Time Series Change of Flow

Yoshinobu Takahashi, Fangshou Chang, Fumihiro Kato, Hiroyasu Iwata

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
出版社IEEE Computer Society
ページ397-404
ページ数8
ISBN(電子版)9781665490429
DOI
出版ステータスPublished - 2022
イベント18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico
継続期間: 2022 8月 202022 8月 24

出版物シリーズ

名前IEEE International Conference on Automation Science and Engineering
2022-August
ISSN(印刷版)2161-8070
ISSN(電子版)2161-8089

Conference

Conference18th IEEE International Conference on Automation Science and Engineering, CASE 2022
国/地域Mexico
CityMexico City
Period22/8/2022/8/24

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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