Evaluation of Finesse/Polish of Automotive Clearcoats

Jenkins, James W.; Kane, Kathleen M.

doi:10.4271/980978

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Similar collections of defect types occurred during/after the polishing process were not to be found by the authors, only some general descriptions of how such defects could be defined [7]. denote them 'polishing marks' which are described as 'very fine lines in the paint surface with a low gloss greyish appearance…' [8], divide them into three categories based on the degree of surface damage-'sand scratches', 'swirl marks' described as '3D holographic circular marks…', and 'haze' described as a 'milky appearance…', and [9] where defects are described based on depth, pattern and the frequency in which they appear. Figure 2 is an attempt to divide the defects into different categories; vertically three groups based on when the damage has occurred (in the paint shop, at in-line repair or in service, i.e.…”

Section: Defect Classificationmentioning

confidence: 78%

“…Commercial measurement devices that support human inspections have been continuously improved over the years and subsequently evaluated by researchers for various adjacent purposes [8]. used a goniophotometer to evaluate manually as well as machine polished samples, and could conclude, based on the overall scratch level, that the surface quality varied more between the manually polished panels compared to the machined polished ones.…”

Section: Surface Inspectionmentioning

confidence: 99%

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Detection of paint polishing defects

Rebeggiani¹,

Wagner²,

Mazal³

et al. 2018

Surf. Topogr.: Metrol. Prop.

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Surface finish plays a major role on perceived product quality, and is the first thing a potential buyer sees. Today end-of-line repairs of the body of cars and trucks are inevitably to secure required surface quality. Defects that occur in the paint shop, like dust particles, are eliminated by manual sanding/ polishing which lead to other types of defects when the last polishing step is not performed correctly or not fully completed. One of those defects is known as 'polishing roses' or holograms, which are incredibly hard to detect in artificial light but are clearly visible in sunlight.This paper will present the first tests with a measurement set-up newly developed to measure and analyse polishing roses. The results showed good correlations to human visual evaluations where repaired panels were estimated based on the defects' intensity, severity and viewing angle.

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Section: Defect Classificationmentioning

confidence: 78%

Section: Surface Inspectionmentioning

confidence: 99%

Detection of paint polishing defects

Rebeggiani¹,

Wagner²,

Mazal³

et al. 2018

Surf. Topogr.: Metrol. Prop.

View full text Add to dashboard Cite

show abstract

“…Lab environments enable more stable conditions for surface measurements, and over the years commercial measurement devices supporting human inspections have been continuously improved and evaluated by researchers. For example, Jenkins and Kane [5] have used a goniophotometer for reflectance measurements to evaluate the overall scratch level of manually and machine polished samples where they concluded that the surface quality varied more between the manually polished samples compared to the machined polished ones. Further, a 'Swirl Rating Scale' from 1-the best, to 10-the worst, based on visual estimations and ranking of test panels, was developed but not linked to the goniophotometer measurements.…”

Section: Introductionmentioning

confidence: 99%

A measure of perceived quality to secure the polishability of new paint systems

Rebeggiani

Rosén

2023

Surf. Topogr.: Metrol. Prop.

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The automotive industry continuously strives to reduce their environmental impact. For the paint shop it means to introduce more sustainable paint concepts, while maintaining the production rate and retain the right surface appearance that is crucial for the vehicle's perceived quality. Today most painted parts are visually inspected and, if needed, manually repaired by abrasive polishing to eliminate spot defects. The repair process consists of one sanding step to remove the defect, and one or two rubbing/polishing steps to restore the surface, but still it tends to be a non-reliable process leaving patterns or clusters of shallow micro scratches seen as three-dimensional shapes moving over the surface when viewed from different angles like holograms. These so called ‘polishing roses’ are hard to detect in artificial light but clearly visible in sunlight and therefore they constitute a constant quality issue. Accurate polishing procedures in combination with more objective inspection techniques would secure a high surface quality – but what is ‘accurate’? The overall scope of the study was to deepen the knowledge of paint systems to develop test routines for the polishability of coatings already during the development stage, and thereby ease the implementation of new coating systems in production. The study was based on collected process data from professional polishers to define a process window based on key parameters for successful end-of-line repairs of coated surfaces, i.e. strategies minimizing the occurrence of visible polishing traces. A CNC-machine was built up for the purpose to systematically test and evaluate new coating systems and repair procedures. The surface estimation was made by visual inspections as well as by a further developed photometric stereo system providing quantitative images of remaining repair traces.

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Evaluation of Finesse/Polish of Automotive Clearcoats

Cited by 2 publications

References 2 publications

Detection of paint polishing defects

Detection of paint polishing defects

A measure of perceived quality to secure the polishability of new paint systems

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