Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network

Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network

The aim of this work is to present a new methodology for the automated analysis of the cross-sections of experimental chip shapes from orthogonal cutting experiments. It enables, based on image processing methods, the determination of average chip thicknesses, chip curling radii and for segmented ch...

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Bibliographic Details
Main Authors: Hagen Klippel, Samuel Pflaum, Michal Kuffa, Konrad Wegener
Format: Article
Language:English
Published: Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT 2022-11-01
Series:Journal of Machine Engineering
Subjects:
image processing
machining
chip shape
artificial neural networks
Online Access:http://jmacheng.not.pl/Automated-Evaluation-of-Continuous-and-Segmented-Chip-Geometries-Based-on-Image-Processing,156091,0,2.html
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