Validation of Automatically Generated Forging Sequences by Using FE Simulations

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Yorck Hedicke-Claus
  • Mareile Kriwall
  • Jan Langner
  • Malte Stonis
  • Bernd Arno Behrens

Externe Organisationen

  • Institut für integrierte Produktion Hannover (IPH) gGmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksForming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity
Herausgeber/-innenGlenn Daehn, Jian Cao, Brad Kinsey, Erman Tekkaya, Anupam Vivek, Yoshinori Yoshida
Seiten2867-2881
Seitenumfang15
ISBN (elektronisch)9783030753818
PublikationsstatusVeröffentlicht - 2021
Extern publiziertJa
Veranstaltung13th International Conference on the Technology of Plasticity - Virtual, Online
Dauer: 25 Juli 202130 Juli 2021

Publikationsreihe

NameMinerals, 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.

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Validation of Automatically Generated Forging Sequences by Using FE Simulations. / Hedicke-Claus, Yorck; Kriwall, Mareile; Langner, Jan et al.
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/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Hedicke-Claus, Y, Kriwall, M, Langner, J, Stonis, M & Behrens, BA 2021, Validation of Automatically Generated Forging Sequences by Using FE Simulations. in G Daehn, J Cao, B Kinsey, E Tekkaya, A Vivek & Y Yoshida (Hrsg.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. Minerals, Metals and Materials Series, S. 2867-2881, 13th International Conference on the Technology of Plasticity, Virtual, Online, 25 Juli 2021. https://doi.org/10.1007/978-3-030-75381-8_238
Hedicke-Claus, Y., Kriwall, M., Langner, J., Stonis, M., & Behrens, B. A. (2021). Validation of Automatically Generated Forging Sequences by Using FE Simulations. In G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, & Y. Yoshida (Hrsg.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity (S. 2867-2881). (Minerals, Metals and Materials Series). https://doi.org/10.1007/978-3-030-75381-8_238
Hedicke-Claus Y, Kriwall M, Langner J, Stonis M, Behrens BA. Validation of Automatically Generated Forging Sequences by Using FE Simulations. in Daehn G, Cao J, Kinsey B, Tekkaya E, Vivek A, Yoshida Y, Hrsg., Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. 2021. S. 2867-2881. (Minerals, Metals and Materials Series). Epub 2021 Jul 11. doi: 10.1007/978-3-030-75381-8_238
Hedicke-Claus, Yorck ; Kriwall, Mareile ; Langner, Jan et al. / Validation of Automatically Generated Forging Sequences by Using FE Simulations. 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).
Download
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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.",
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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.

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