Self‐adjusting robotic painting system
Abstract
Purpose
Aims to introduce a self‐adjusting robotic painting process for automotive fuel containers, capable of predicting the required correction action to avoid further defect production.
Design/methodology/approach
Presents the development, testing and on‐site implementation of a robotic thermal machine vision system designed for evaluating coat thickness and coverage attributes. Computer simulation is used to study the effect of the painting robot's program on the film build‐up.
Findings
Effective technique for the real‐time detection of anti‐corrosive coat's pinholes and pop‐ups. A systematic study for this paint deposition scheme.
Research limitations/implications
The presented detection system and the simulation program methodology could be further studied and modified for other painting applications.
Practical implications
Provides insights validated with on‐site results and systematic study for the automated or the manual adjustments of the robotic painting parameters.
Originality/value
Introduces a novel application of thermal imaging for evaluating coated surfaces. In addition, a first reported case study of automotive fuel container's painting process. Presents potential application to reduce the defects generation thus, improving quality, and reducing production cost.
Keywords
Citation
Omar, M., Viti, V., Saito, K. and Liu, J. (2006), "Self‐adjusting robotic painting system", Industrial Robot, Vol. 33 No. 1, pp. 50-55. https://doi.org/10.1108/01439910610638225
Publisher
:Emerald Group Publishing Limited
Copyright © 2006, Emerald Group Publishing Limited