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The Research And Application Of Multiple-Views Semantic Feature Modeling System Based On Cellular Model

Posted on:2006-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:X P DuFull Text:PDF
GTID:2168360155475549Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Multiple-view feature modeling system allow various product development phases by providing each view, and it is a product development approach that combines concurrent engineering and feature modeling. Semantic feature modeling system, which adopts completely semantic constrains to define feature and create model, can satisfy all of their intents. It uses FDG(feature dependency graph) as data model, cellular model as geometric model and view model as user interface. But now all approach of multiple-view have applied form feature as basis and allowed the later development phase in which the geometry of the product has been fully specified. How to applied to early product development phases, feature visualization, how to validity collaboratively develop becomes the research emphasis in multiple-view modeling field. This thesis uses cellular model as geometric model and introduce semantic feature to multiple-view system, and carries deeply research the key art based on the three layer system frame of the semantic feature modeling on theory and system design aspect, put forward the new idea and new technique, the main content includes: 1. The geometry and boundary evaluation of the cellular model, 2.The feature model visualization, 3. Enhance multiple-view semantic feature modeling system and keeping views consistency, 4.Integrate the part and assembly, 5.Collaborative framework of the integrated modeling system. And on the basis of the original data structure and algorithm of HUST-CAID the research result can be applied and will accelerated the speed of design and can contribute to the enterprise's profits; furthermore, it can have effect on the Graphic & feature modeling field in demotic even international area, and promote the feature modeling technology to advance more.
Keywords/Search Tags:cellular model, semantic feature, multiple-view feature, Feature visualization, collaborative modeling
PDF Full Text Request
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