Klassifizierung von Schmiedeteilen mittels KNN

KI erlaubt automatisierte Erkennung und Einteilung von geometrischen komplexen Schmiedebauteilen

authored by: Yorck Hedicke-Claus, Jan Langner, Malte Stonis, Bernd Arno Behrens
Abstract: This paper presents a method for the automated classification of forged parts for classification into the Spies order of shapes by artificial neural networks.The aim is to develop a recognition program within the framework of automated forging sequence planning, which can directly identify a shape class from the CAD file of the forged part and characteristics of the forged part relevant for the design of the process.
Organisation(s): Institute of Metal Forming and Metal Forming Machines
External Organisation(s): Institut für integrierte Produktion Hannover (IPH)
Type: Article
Journal: wt Werkstattstechnik online
Volume: 109
Pages: 822-827
No. of pages: 6
Publication date: 2019
Publication status: Published
ASJC Scopus subject areas: Control and Systems Engineering, Automotive Engineering
Electronic version(s): https://doi.org/10.37544/1436-4980-2019-11-12-24 (Access: Closed)
: Details in the research portal "Research@Leibniz University"