Abstract
A manual scratch test to measure the scratch resistance of coatings applied to a certain substrate is usually used to test the adhesion of a coating. Despite its significant amount of subjectivity, the crosscut test is widely considered to be the most practical measuring method for adhesion strength with a good reliability. Intelligent software tools help to improve and optimize systems combining chemistry, engineering based on high-throughput formulation screening (HTFS) technologies and machine learning algorithms to open up novel solutions in material sciences. Nevertheless, automated testing often misses the link to quality control by the human eye that is sensitive in spotting and evaluating defects as it is the case in the crosscut test. In this paper, we present a method for the automated and objective characterization of coatings to drive and support Chemistry 4.0 solutions via semantic image segmentation using deep convolutional networks. The algorithm evaluated the adhesion strength based on the images of the crosscuts recognizing the delaminated area and the results were compared with the traditional classification rated by the human expert.
Highlights
Organic coatings are commonly applied to protect working surfaces from corrosion, abrasion, and erosion[1] or impart an aesthetic appearance.[2]
First a table is presented containing the mean dice coefficient and its standard deviation evaluated on the test set for the three models paired with each loss function as well as the inference time for the output and the number of parameters for each model
The segmentation approach is further visualized by highlighting true positive, true negative, false positive or false negative on a specific sample, where the visualization was created with the U-net architecture trained on the binary crossentropy loss (BCE) loss function for only 10 epochs
Summary
Organic coatings are commonly applied to protect working surfaces from corrosion, abrasion, and erosion[1] or impart an aesthetic appearance.[2] These coatings act as barriers covering the underlying substrate from the environmental impact and promise long-life durability. The simplest manner for rating the destruction of the coating is the visual control by humans during lab tests under conditions being required for the application. Other procedures described by DIN EN ISO or ASTM standards still rely on evaluation by the operator.[7,8,9,10] Even though the significance of the rating might differ between experts, fine distinctions can rarely be recognized excluding the human control.
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