Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1085-1094 |
| Seitenumfang | 10 |
| Fachzeitschrift | Proceedings of the International Conference on Engineering Design, ICED |
| Jahrgang | 1 |
| Ausgabenummer | 1 |
| Frühes Online-Datum | 26 Juli 2019 |
| Publikationsstatus | Veröffentlicht - Juli 2019 |
| Veranstaltung | 22nd International Conference on Engineering Design, ICED 2019 - Delft, Niederlande Dauer: 5 Aug. 2019 → 8 Aug. 2019 |
Abstract
Design is a complex problem-solving activity that transforms design restrictions and requirements into a set of constraints and explores the feasible solutions to satisfy those constraints. However, design solutions generated by traditional modeling approaches are hardly to deal with such constraints, particularly for the exploration of the possible design solution space to enhance the quality of the design outputs and confront the evolving design requirements. In this regard, the Generative Design Approach (GDA) is considered as an efficient method to explore a large design solution space by transforming the design problem into a configuration problem. Fundamentally, GDA explores and stores all the necessary knowledge through a design skeleton and a set of design elements. Thus, design solution space is easily explored by configuring variable design elements via iterative design processes. Further, the output model is not only a design solution but also a design concept that designers could manipulate to explore unconsidered design configurations. Finally, a crank creation as a running example confirmed that GDA provides concrete aids to enhance the diversity of design solutions.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Ingenieurwesen (sonstige)
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Mathematik (insg.)
- Modellierung und Simulation
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in: Proceedings of the International Conference on Engineering Design, ICED, Jahrgang 1, Nr. 1, 07.2019, S. 1085-1094.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Automated Exploration of Design Solution Space Applying the Generative Design Approach
AU - Li, Haibing
AU - Lachmayer, Roland
PY - 2019/7
Y1 - 2019/7
N2 - Design is a complex problem-solving activity that transforms design restrictions and requirements into a set of constraints and explores the feasible solutions to satisfy those constraints. However, design solutions generated by traditional modeling approaches are hardly to deal with such constraints, particularly for the exploration of the possible design solution space to enhance the quality of the design outputs and confront the evolving design requirements. In this regard, the Generative Design Approach (GDA) is considered as an efficient method to explore a large design solution space by transforming the design problem into a configuration problem. Fundamentally, GDA explores and stores all the necessary knowledge through a design skeleton and a set of design elements. Thus, design solution space is easily explored by configuring variable design elements via iterative design processes. Further, the output model is not only a design solution but also a design concept that designers could manipulate to explore unconsidered design configurations. Finally, a crank creation as a running example confirmed that GDA provides concrete aids to enhance the diversity of design solutions.
AB - Design is a complex problem-solving activity that transforms design restrictions and requirements into a set of constraints and explores the feasible solutions to satisfy those constraints. However, design solutions generated by traditional modeling approaches are hardly to deal with such constraints, particularly for the exploration of the possible design solution space to enhance the quality of the design outputs and confront the evolving design requirements. In this regard, the Generative Design Approach (GDA) is considered as an efficient method to explore a large design solution space by transforming the design problem into a configuration problem. Fundamentally, GDA explores and stores all the necessary knowledge through a design skeleton and a set of design elements. Thus, design solution space is easily explored by configuring variable design elements via iterative design processes. Further, the output model is not only a design solution but also a design concept that designers could manipulate to explore unconsidered design configurations. Finally, a crank creation as a running example confirmed that GDA provides concrete aids to enhance the diversity of design solutions.
KW - Computer Aided Design (CAD)
KW - Design methods
KW - Design solution space exploration
KW - Generative design approach
KW - Product modelling / models
UR - http://www.scopus.com/inward/record.url?scp=85079759901&partnerID=8YFLogxK
U2 - 10.1017/dsi.2019.114
DO - 10.1017/dsi.2019.114
M3 - Conference article
AN - SCOPUS:85079759901
VL - 1
SP - 1085
EP - 1094
JO - Proceedings of the International Conference on Engineering Design, ICED
JF - Proceedings of the International Conference on Engineering Design, ICED
SN - 2220-4334
IS - 1
T2 - 22nd International Conference on Engineering Design, ICED 2019
Y2 - 5 August 2019 through 8 August 2019
ER -