Literature DB >> 27140390

Nondestructive analysis of automotive paints with spectral domain optical coherence tomography.

Yue Dong, Samuel Lawman, Yalin Zheng, Dominic Williams, Jinke Zhang, Yao-Chun Shen.   

Abstract

We have demonstrated for the first time, to our knowledge, the use of optical coherence tomography (OCT) as an analytical tool for nondestructively characterizing the individual paint layer thickness of multiple layered automotive paints. A graph-based segmentation method was used for automatic analysis of the thickness distribution for the top layers of solid color paints. The thicknesses measured with OCT were in good agreement with the optical microscope and ultrasonic techniques that are the current standard in the automobile industry. Because of its high axial resolution (5.5 μm), the OCT technique was shown to be able to resolve the thickness of individual paint layers down to 11 μm. With its high lateral resolution (12.4 μm), the OCT system was also able to measure the cross-sectional area of the aluminum flakes in a metallic automotive paint. The range of values measured was 300-1850  μm<sup>2</sup>. In summary, the proposed OCT is a noncontact, high-resolution technique that has the potential for inclusion as part of the quality assurance process in automobile coating.

Entities:  

Year:  2016        PMID: 27140390     DOI: 10.1364/AO.55.003695

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  1 in total

1.  A method for automatic segmentation and splitting of hyperspectral images of raspberry plants collected in field conditions.

Authors:  Dominic Williams; Avril Britten; Susan McCallum; Hamlyn Jones; Matt Aitkenhead; Alison Karley; Ken Loades; Ankush Prashar; Julie Graham
Journal:  Plant Methods       Date:  2017-11-01       Impact factor: 4.993

  1 in total

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