Gorman, D; Green, C; Booth-Downs, F; Gee, M; Fry, T (2022) Rockwell Indentation Test for Evaluation of Adhesion of Coatings - aka Daimler-Benz adhesion test. NPL Report. MAT 107
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Text (NPL Report MAT 107)
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Abstract
This report focuses on the development of a methodology to extract, and quantify features introduced to a coating system by the Rockwell Indentation Test for Evaluation of Adhesion of Coatings, which is also known as the Daimler-Bends Adhesion Test. The Daimler-Bends Adhesion Test (Test) is an established method for the evaluation of coating adhesion, an important metric for quantifying coating performance. Attempts have been made by other research institutions to apply supervised machine learning techniques to classify test images. These require large, labelled datasets and are inherently difficult to evaluate. The primary aim of this project was to explore the possibility of developing conventional algorithmic solutions, these may include unsupervised clustering methods.
Item Type: | Report/Guide (NPL Report) |
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NPL Report No.: | MAT 107 |
Keywords: | Daimler-benz adhesion, Rockwell indentation, Image Analysis, Feature detection, Automation, |
Subjects: | Advanced Materials > Surface Engineering |
Divisions: | Materials and Mechanical Metrology |
Identification number/DOI: | 10.47120/npl.MAT107 |
Last Modified: | 12 Oct 2022 13:35 |
URI: | http://eprintspublications.npl.co.uk/id/eprint/9517 |
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