Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity |
| Herausgeber/-innen | Glenn Daehn, Jian Cao, Brad Kinsey, Erman Tekkaya, Anupam Vivek, Yoshinori Yoshida |
| Seiten | 2867-2881 |
| Seitenumfang | 15 |
| ISBN (elektronisch) | 9783030753818 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Extern publiziert | Ja |
| Veranstaltung | 13th International Conference on the Technology of Plasticity - Virtual, Online Dauer: 25 Juli 2021 → 30 Juli 2021 |
Publikationsreihe
| Name | Minerals, Metals and Materials Series |
|---|---|
| ISSN (Print) | 2367-1181 |
| ISSN (elektronisch) | 2367-1696 |
Abstract
To increase the economic efficiency in the production of geometrically complicated forgings, material efficiency is a determining factor. In this study, a method is being validated to automatically design a multi-staged forging sequence initially based on the CAD file of the forging. The method is intended to generate material-efficient forging sequences and reduce development time and dependence on reference processes in the design of forging sequences. Artificial neural networks are used to analyze the geometry of the forging and classify it into a shape class. Result of the analysis is information on component characteristics, such as bending and holes. From this, special operations such as a bending process in the forging sequence can be derived. A slicer algorithm is used to divide the CAD file of the forging into cutting planes and calculate the mass distribution around the center of gravity line of the forging. An algorithm approaches the mass distribution and cross-sectional contour step by step from the forging to the semi-finished product. Each intermediate form is exported as a CAD file. The algorithm takes less than 10 min to design a four-stage forging sequence. The designed forging sequences are checked by FE simulations. Quality criteria that are evaluated and investigated are form filling and folds. First FE simulations show that the automatically generated forging sequences allow the production of different forgings. In an iterative adaptation process, the results of the FE simulations are used to adjust the method to ensure material-efficient and process-reliable forging sequences.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Werkstoffmechanik
- Werkstoffwissenschaften (insg.)
- Metalle und Legierungen
- Werkstoffwissenschaften (insg.)
- Werkstoffchemie
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- BibTex
- RIS
Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. Hrsg. / Glenn Daehn; Jian Cao; Brad Kinsey; Erman Tekkaya; Anupam Vivek; Yoshinori Yoshida. 2021. S. 2867-2881 (Minerals, Metals and Materials Series).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Validation of Automatically Generated Forging Sequences by Using FE Simulations
AU - Hedicke-Claus, Yorck
AU - Kriwall, Mareile
AU - Langner, Jan
AU - Stonis, Malte
AU - Behrens, Bernd Arno
N1 - Funding Information: Acknowledgments The research project “Design of efficient forging sequences with mass distribution around the center of gravity line for forging parts” (IGF project 19752) has been funded by the German Federation of Industrial Research Associations (AiF). The authors thank the AiF for its support.
PY - 2021
Y1 - 2021
N2 - To increase the economic efficiency in the production of geometrically complicated forgings, material efficiency is a determining factor. In this study, a method is being validated to automatically design a multi-staged forging sequence initially based on the CAD file of the forging. The method is intended to generate material-efficient forging sequences and reduce development time and dependence on reference processes in the design of forging sequences. Artificial neural networks are used to analyze the geometry of the forging and classify it into a shape class. Result of the analysis is information on component characteristics, such as bending and holes. From this, special operations such as a bending process in the forging sequence can be derived. A slicer algorithm is used to divide the CAD file of the forging into cutting planes and calculate the mass distribution around the center of gravity line of the forging. An algorithm approaches the mass distribution and cross-sectional contour step by step from the forging to the semi-finished product. Each intermediate form is exported as a CAD file. The algorithm takes less than 10 min to design a four-stage forging sequence. The designed forging sequences are checked by FE simulations. Quality criteria that are evaluated and investigated are form filling and folds. First FE simulations show that the automatically generated forging sequences allow the production of different forgings. In an iterative adaptation process, the results of the FE simulations are used to adjust the method to ensure material-efficient and process-reliable forging sequences.
AB - To increase the economic efficiency in the production of geometrically complicated forgings, material efficiency is a determining factor. In this study, a method is being validated to automatically design a multi-staged forging sequence initially based on the CAD file of the forging. The method is intended to generate material-efficient forging sequences and reduce development time and dependence on reference processes in the design of forging sequences. Artificial neural networks are used to analyze the geometry of the forging and classify it into a shape class. Result of the analysis is information on component characteristics, such as bending and holes. From this, special operations such as a bending process in the forging sequence can be derived. A slicer algorithm is used to divide the CAD file of the forging into cutting planes and calculate the mass distribution around the center of gravity line of the forging. An algorithm approaches the mass distribution and cross-sectional contour step by step from the forging to the semi-finished product. Each intermediate form is exported as a CAD file. The algorithm takes less than 10 min to design a four-stage forging sequence. The designed forging sequences are checked by FE simulations. Quality criteria that are evaluated and investigated are form filling and folds. First FE simulations show that the automatically generated forging sequences allow the production of different forgings. In an iterative adaptation process, the results of the FE simulations are used to adjust the method to ensure material-efficient and process-reliable forging sequences.
KW - Automatic process design
KW - CAD
KW - FEA
KW - Forging
KW - Resource efficiency
UR - http://www.scopus.com/inward/record.url?scp=85112534391&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-75381-8_238
DO - 10.1007/978-3-030-75381-8_238
M3 - Conference contribution
AN - SCOPUS:85112534391
SN - 9783030753801
T3 - Minerals, Metals and Materials Series
SP - 2867
EP - 2881
BT - Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity
A2 - Daehn, Glenn
A2 - Cao, Jian
A2 - Kinsey, Brad
A2 - Tekkaya, Erman
A2 - Vivek, Anupam
A2 - Yoshida, Yoshinori
T2 - 13th International Conference on the Technology of Plasticity, ICTP 2021
Y2 - 25 July 2021 through 30 July 2021
ER -