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  • 1.
    Müller, J. R.
    et al.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Isaksson, O.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Landahl, J.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Raja, V.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden & GKN Aerospace Sweden AB, Trollhättan, Sweden.
    Panarotto, M.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Levandowski, C.
    Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Raudberget, Dag
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design. Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Enhanced function-means modeling supporting design space exploration2019In: Artificial intelligence for engineering design, analysis and manufacturing, ISSN 0890-0604, E-ISSN 1469-1760, Vol. 33, no 4, p. 502-516Article in journal (Refereed)
    Abstract [en]

    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-A nd 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. 

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