Details
| Original language | English |
|---|---|
| Pages (from-to) | 1085-1094 |
| Number of pages | 10 |
| Journal | Proceedings of the International Conference on Engineering Design, ICED |
| Volume | 1 |
| Issue number | 1 |
| Early online date | 26 Jul 2019 |
| Publication status | Published - Jul 2019 |
| Event | 22nd International Conference on Engineering Design, ICED 2019 - Delft, Netherlands Duration: 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.
Keywords
- Computer Aided Design (CAD), Design methods, Design solution space exploration, Generative design approach, Product modelling / models
ASJC Scopus subject areas
- Engineering(all)
- Engineering (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
- Mathematics(all)
- Modelling and Simulation
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Proceedings of the International Conference on Engineering Design, ICED, Vol. 1, No. 1, 07.2019, p. 1085-1094.
Research output: Contribution to journal › Conference article › Research › 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 -