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

Yoshinobu Takahashi, Fangshou Chang, Fumihiro Kato, Hiroyasu Iwata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
PublisherIEEE Computer Society
Pages397-404
Number of pages8
ISBN (Electronic)9781665490429
DOIs
Publication statusPublished - 2022
Event18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico
Duration: 2022 Aug 202022 Aug 24

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2022-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Country/TerritoryMexico
CityMexico City
Period22/8/2022/8/24

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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