Angle-specific Paint Deposition Modeling for an L-shaped Plane with the Variable Posture of a Painting Gun

Genichiro Tanaka*, Fangshou Chang, Yoshinobu Takahashi, Fumihiro Kato, Hiroyasu Iwata

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This study developed a paint deposition model that considers the position and direction of the painting gun was developed. Therefore, we focused on changes in paint deposition due to changes in the painting angle, which had not been focused on before. The calculation method employed adds an angle-specific paint deposition model derived by multiple regression analysis to the conventional paint deposition model. To confirm the validity of the angle-specific paint deposition model, a painting test on an L-shaped surface was conducted, and the measured and predicted values were compared. The L-shaped surface is a typical shape that the film thickness distribution changes with angle. As a result, it was confirmed that the predicted values agreed well with the measured values in the L-shaped surface painting test, indicating the validity of this study.

Original languageEnglish
Title of host publication2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages467-472
Number of pages6
ISBN (Electronic)9798350315684
DOIs
Publication statusPublished - 2023
Event11th International Conference on Control, Mechatronics and Automation, ICCMA 2023 - Hybrid, Grimstad, Norway
Duration: 2023 Nov 12023 Nov 3

Publication series

Name2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023

Conference

Conference11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
Country/TerritoryNorway
CityHybrid, Grimstad
Period23/11/123/11/3

Keywords

  • automation
  • manufacturing
  • modeling
  • paint
  • simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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