In the research described in this paper, an approach that utilizes deep models of features to transform a component design represented by neutral features into domain-specific features has been developed. The neutral features are known as feature-oriented generic shapes (FOGSs). The proposed approach provides the flexibility needed to represent both the deep and shallow knowledge required in feature mapping. A deep model of a feature is represented in the form of a face connectivity graph (FCG) that embodies deep knowledge about its geometry, while other non-geometrical information can be represented as rules or procedural functions. By comparing the original faces of a product model with those of the resultant evaluated boundary model, faces of interest can be easily extracted and described using FCGs. A FCG can then be examined to determine its class and the relevant parameters for applications in such domains as process planning. The mapping shell is designed with layered architecture that makes it highly appropriate for implementation using blackboard technology.
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Lim, S.S., Lim, L.E.N., Lee, I.B.H. et al. Multiple domain feature mapping: a methodology based on deep models of features. J Intell Manuf 6, 245–262 (1995). https://doi.org/10.1007/BF00128648
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DOI: https://doi.org/10.1007/BF00128648