2022
DOI: 10.36897/jme/156091
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Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network

Abstract: The aim of this work is to present a new methodology for the automated analysis of the cross-sections of experimental chip shapes. It enables, based on image processing methods, the determination of average chip thicknesses, chip curling radii and for segmented chips the extraction of chip segmentation lengths, as well as minimum and maximum chip thicknesses. To automatically decide whether a chip at hand should be evaluated using the proposed methods for continuous or segmented chips, a convolutional neural n… Show more

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Cited by 3 publications
(1 citation statement)
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“…For the evaluation of the chip cross-sections, the automated analysis methodology from [17] is applied. The methodology uses image processing techniques to extract various chip parameters, where for this work, only the chip thickness is taken into account.…”
Section: Data Evaluationmentioning
confidence: 99%
“…For the evaluation of the chip cross-sections, the automated analysis methodology from [17] is applied. The methodology uses image processing techniques to extract various chip parameters, where for this work, only the chip thickness is taken into account.…”
Section: Data Evaluationmentioning
confidence: 99%