Details
Translated title of the contribution | AI enables automated recognition and classification of geometrically complex forged parts |
---|---|
Original language | German |
Pages (from-to) | 822-827 |
Number of pages | 6 |
Journal | wt Werkstattstechnik online |
Volume | 109 |
Issue number | 11-12 |
Publication status | Published - 2019 |
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.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Automotive Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: wt Werkstattstechnik online, Vol. 109, No. 11-12, 2019, p. 822-827.
Research output: Contribution to journal › Article › Research
}
TY - JOUR
T1 - Klassifizierung von Schmiedeteilen mittels KNN
T2 - KI erlaubt automatisierte Erkennung und Einteilung von geometrischen komplexen Schmiedebauteilen
AU - Hedicke-Claus, Yorck
AU - Langner, Jan
AU - Stonis, Malte
AU - Behrens, Bernd Arno
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85078619689&partnerID=8YFLogxK
U2 - 10.37544/1436-4980-2019-11-12-24
DO - 10.37544/1436-4980-2019-11-12-24
M3 - Artikel
AN - SCOPUS:85078619689
VL - 109
SP - 822
EP - 827
JO - wt Werkstattstechnik online
JF - wt Werkstattstechnik online
IS - 11-12
ER -