Reference : The Integrated Function Modelling Framework and its Relation to Function Structures
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/10993/31365
The Integrated Function Modelling Framework and its Relation to Function Structures
English
Gericke, Kilian mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Eisenbart, Boris []
2017
AI EDAM: Artificial Intelligence for Engineering Design Analysis and Manufacturing
Cambridge University Press
3
31
Function Modeling: Benchmark Models, Problems, and Approaches
Yes (verified by ORBilu)
International
0890-0604
1469-1760
New York
NY
[en] Conceptual Design ; Function model ; product development
[en] Research and industrial practice have produced a host of function models and modelling approaches over the last decades. Each of these is meant to support designers in their design endeavours. Industrial practice is excessively diversified in terms of contextual requirements, aims and adopted processes; this automatically begs the question, which of the existing models should be selected for application in a specific situation. This paper sets out to contribute to this discourse. It strives to benchmark the fairly novel Integrated Function Modelling (IFM) framework against the well-established function structures modelling approach. The paper comparatively investigates the respective capabilities of the approaches, following the benchmarking protocol used earlier in relation to this Special Issue. Function structures are used as reference as they represent one of the most widespread function modelling approaches in research and practice. Both function structures and the IFM framework are exemplarily applied for modelling a glue gun. The gradual generation and refinement of the models is used to showcase their respective benefits and shortcomings. Eventually, the IFM framework is found to excel over function structures in terms of comprehensiveness and support for different types of function analyses. Finally, future research directions are proposed.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/31365

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