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Proceedings Paper

Applications of optical coherence tomography in the non-contact assessment of automotive paints
Author(s): Samuel Lawman; Jinke Zhang; Bryan M. Williams; Yalin Zheng; Yao-Chun Shen
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Paper Abstract

The multiple layer paint systems on modern cars serve two end purposes, they firstly protect against corrosion and secondly give the desired visual appearance. To ensure consistent corrosion protection and appearance, suitable Quality Assurance (QA) measures on the final product are required. Various (layer thickness and consistency, layer composition, flake statistics, surface profile and layer dryness) parameters are of importance, each with specific techniques that can measure one or some of them but no technique that can measure all or most of them. Optical Coherence Tomography (OCT) is a 3D imaging technique with micrometre resolution. Since 2016, OCT measurements of layer thickness and consistency, layer composition fingerprint and flake statistics have been reported. In this paper we demonstrate two more novel applications of OCT to automotive paints. Firstly, we use OCT to quantify unwanted surface texture, which leads to an “orange peel” visual defect. This was done by measuring the surface profiles of automotive paints, with an unoptimised precision of 37 nm over lateral range of 7 mm, to quantify texture of less than 500 nm. Secondly, we demonstrate that OCT can measure how dry a coating layer is by measuring how fast it is still shrinking quasiinstantaneously, using Fourier phase sensitivity.

Paper Details

Date Published: 26 June 2017
PDF: 9 pages
Proc. SPIE 10329, Optical Measurement Systems for Industrial Inspection X, 103290J (26 June 2017); doi: 10.1117/12.2270020
Show Author Affiliations
Samuel Lawman, Univ. of Liverpool (United Kingdom)
Jinke Zhang, Univ. of Liverpool (United Kingdom)
Bryan M. Williams, Univ. of Liverpool (United Kingdom)
Yalin Zheng, Univ. of Liverpool (United Kingdom)
Yao-Chun Shen, Univ. of Liverpool (United Kingdom)


Published in SPIE Proceedings Vol. 10329:
Optical Measurement Systems for Industrial Inspection X
Peter Lehmann; Wolfgang Osten; Armando Albertazzi Gonçalves, Editor(s)

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