Current computational design synthesis methods are often based on static knowledge and restricted to limited scope tasks focusing on specialized engineering knowledge only. Based on a review of research in engineering knowledge representations, knowledge-based engineering and engineering design grammars, this paper presents an extended model for formal engineering design synthesis and defines new requirements for the knowledge representations used within to enable the integration of multi-domain knowledge that can be networked, exchanged and dynamically evolved throughout the innovation process. The paper discusses through examples the advantages of the approach for creating computational synthesis methods that support innovation processes.
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Current computational design synthesis methods are often based on static knowledge and restricted to limited scope tasks focusing on specialized engineering knowledge only. Based on a review of research in engineering knowledge representations, knowledge-based engineering and engineering design grammars, this paper presents an extended model for formal engineering design synthesis and defines new requirements for the knowledge representations used within to enable the integration of multi-domain...
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