Enhanced function-means modeling supporting design space exploration. Issue 4 (11th November 2019)
- Record Type:
- Journal Article
- Title:
- Enhanced function-means modeling supporting design space exploration. Issue 4 (11th November 2019)
- Main Title:
- Enhanced function-means modeling supporting design space exploration
- Authors:
- Müller, Jakob R.
Isaksson, Ola
Landahl, Jonas
Raja, Visakha
Panarotto, Massimo
Levandowski, Christoffer
Raudberget, Dag - Editors:
- Biswas, Pradipta
Orero, Pilar
Sezgin, Metin - Abstract:
- Abstract: One problem in incremental product development is that geometric models are limited in their ability to explore radical alternative design variants. In this publication, a function modeling approach is suggested to increase the amount and variety of explored alternatives, since function models (FM) provide greater model flexibility. An enhanced function-means (EF-M) model capable of representing the constraints of the design space as well as alternative designs is created through a reverse engineering process. This model is then used as a basis for the development of a new product variant. This work describes the EF-M model's capabilities for representing the design space and integrating novel solutions into the existing product structure and explains how these capabilities support the exploration of alternative design variants. First-order analyses are executed, and the EF-M model is used to capture and represent already existing design information for further analyses. Based on these findings, a design space exploration approach is developed. It positions the FM as a connection between legacy and novel designs and, through this, allows for the exploration of more diverse product concepts. This approach is based on three steps – decomposition, design, and embodiment – and builds on the capabilities of EF-M to model alternative solutions for different requirements. While the embodiment step of creating the novel product's geometry is still a topic for futureAbstract: One problem in incremental product development is that geometric models are limited in their ability to explore radical alternative design variants. In this publication, a function modeling approach is suggested to increase the amount and variety of explored alternatives, since function models (FM) provide greater model flexibility. An enhanced function-means (EF-M) model capable of representing the constraints of the design space as well as alternative designs is created through a reverse engineering process. This model is then used as a basis for the development of a new product variant. This work describes the EF-M model's capabilities for representing the design space and integrating novel solutions into the existing product structure and explains how these capabilities support the exploration of alternative design variants. First-order analyses are executed, and the EF-M model is used to capture and represent already existing design information for further analyses. Based on these findings, a design space exploration approach is developed. It positions the FM as a connection between legacy and novel designs and, through this, allows for the exploration of more diverse product concepts. This approach is based on three steps – decomposition, design, and embodiment – and builds on the capabilities of EF-M to model alternative solutions for different requirements. While the embodiment step of creating the novel product's geometry is still a topic for future research, the design space exploration concept can be used to enable wider, more methodological, and potentially automated design space exploration. … (more)
- Is Part Of:
- AI EDAM. Volume 33:Issue 4(2019)
- Journal:
- AI EDAM
- Issue:
- Volume 33:Issue 4(2019)
- Issue Display:
- Volume 33, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 33
- Issue:
- 4
- Issue Sort Value:
- 2019-0033-0004-0000
- Page Start:
- 502
- Page End:
- 516
- Publication Date:
- 2019-11-11
- Subjects:
- Concept design, -- design space exploration, -- DSM, -- enhanced function-means modeling, -- function modeling, -- radical innovation
Engineering design -- Data processing -- Periodicals
Artificial intelligence -- Periodicals
Expert systems (Computer science) -- Periodicals
620.00420285 - Journal URLs:
- http://www.journals.cambridge.org/jid%5FAIE ↗
- DOI:
- 10.1017/S0890060419000271 ↗
- Languages:
- English
- ISSNs:
- 0890-0604
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14575.xml