TY - GEN
T1 - Analysis of Paint Film Thickness Distribution Based on Particle Method Considering Time Series Change of Flow
AU - Takahashi, Yoshinobu
AU - Chang, Fangshou
AU - Kato, Fumihiro
AU - Iwata, Hiroyasu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1109/CASE49997.2022.9926433
DO - 10.1109/CASE49997.2022.9926433
M3 - Conference contribution
AN - SCOPUS:85141691925
T3 - IEEE International Conference on Automation Science and Engineering
SP - 397
EP - 404
BT - 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
PB - IEEE Computer Society
T2 - 18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Y2 - 20 August 2022 through 24 August 2022
ER -