Details
| Translated title of the contribution | Methodical design of development environments according to the Generative Parametric Design Approach |
|---|---|
| Original language | German |
| Title of host publication | DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021) |
| Editors | D. Krause, K. Paetzold, S. Wartzack |
| Number of pages | 10 |
| Publication status | Published - 2021 |
| Event | 32nd Symposium Design for X, DFX 2021 - Virtual, Online Duration: 27 Sept 2021 → 28 Sept 2021 |
Abstract
Computer-aided development environments have increasingly found their way into product development over the last 20 years. Particularly in the development of different product variants for different requirements and target groups, they enable the partially or fully automated creation of component designs. The Generative Parametric Design Approach (GPDA) enables the generation of highly dynamic product models for complex components and assemblies by means of structural optimization and thus combines the advantages of parametric, knowledge-based and generative modeling methods. This paper generalizes the GPDA approach and demonstrates its applicability to functional assemblies and in the context of a manufacturing stage-based design model.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021). ed. / D. Krause; K. Paetzold; S. Wartzack. 2021.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Methodischer Aufbau von Entwicklungsumgebungen nach dem Generative Parametric Design Approach
AU - Herrmann, Kevin
AU - Altun, Osman
AU - Wolniak, Philipp
AU - Mozgova, Iryna
AU - Lachmayer, Roland
N1 - Funding Information: Die Ergebnisse dieser Publikation sind im Rahmen des Sonderforschungsbereichs 1153 „Prozesskette zur Herstellung hybrider Hochleistungsbauteile durch Tailored Forming“ innerhalb des Teilprojekts C2 entstanden. Die Autoren danken der Deutschen Forschungsgemeinschaft (DFG) für die finanzielle und organisatorische Unterstützung des Projektes (Projektnummer: 252662854).
PY - 2021
Y1 - 2021
N2 - Computer-aided development environments have increasingly found their way into product development over the last 20 years. Particularly in the development of different product variants for different requirements and target groups, they enable the partially or fully automated creation of component designs. The Generative Parametric Design Approach (GPDA) enables the generation of highly dynamic product models for complex components and assemblies by means of structural optimization and thus combines the advantages of parametric, knowledge-based and generative modeling methods. This paper generalizes the GPDA approach and demonstrates its applicability to functional assemblies and in the context of a manufacturing stage-based design model.
AB - Computer-aided development environments have increasingly found their way into product development over the last 20 years. Particularly in the development of different product variants for different requirements and target groups, they enable the partially or fully automated creation of component designs. The Generative Parametric Design Approach (GPDA) enables the generation of highly dynamic product models for complex components and assemblies by means of structural optimization and thus combines the advantages of parametric, knowledge-based and generative modeling methods. This paper generalizes the GPDA approach and demonstrates its applicability to functional assemblies and in the context of a manufacturing stage-based design model.
KW - Functional modeling
KW - Generative parametric design approach
KW - Knowledge based engineering
KW - Manufacturing stage-based design model
UR - http://www.scopus.com/inward/record.url?scp=85121958030&partnerID=8YFLogxK
U2 - 10.35199/dfx2021.14
DO - 10.35199/dfx2021.14
M3 - Aufsatz in Konferenzband
AN - SCOPUS:85121958030
BT - DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021)
A2 - Krause, D.
A2 - Paetzold, K.
A2 - Wartzack, S.
T2 - 32nd Symposium Design for X, DFX 2021
Y2 - 27 September 2021 through 28 September 2021
ER -