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Generic face adjacency graph for automatic common design structure discovery in assembly models

机译:装配模型中自动通用设计结构发现的通用面邻接图

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摘要

Common Design Structure Discovery (CDSD) is to identify local structures shared by multiple models. Nowadays it is mainly restricted to part models. Extending it to assembly models can produce a significant value for assembly design reuse. However, current descriptions of assembly models usually capture topological information qualitatively, considering little geometric information, and thus are not suitable for CDSD in assembly models (CDSDA). To counter this problem, this paper proposes a generic face adjacency graph (GFAG) which is extended from the face adjacency graph for B-Rep part model description. GFAG can transform abstract relationships in assembly models into measurable entities by introducing a concept of mating face pair (MFP), thus facilitating a more quantitative and consistent description of parts and relationships in assembly models. Corresponding to geometric faces and edges in a part model, GFAG treats parts and relationships in an assembly model as generic faces and generic edges respectively. To make GFAG have a higher discrimination capability, a node in GFAG captures the geometric information of a part together with its mating parts by shape parameters and also quantitatively incorporates a relationship between parts by shape parameters of an MFP. By doing so, GFAG can take more geometric information, together with topological information, into account quantitatively, and thus can be mapped into a 2D coordinate system for easy validation. We also extend a discovery algorithm to validate the feasibility of GFAG for CDSDA, and the results demonstrate the expected effectiveness.
机译:通用设计结构发现(CDSD)用于识别多个模型共享的局部结构。如今,它主要限于零件模型。将其扩展到装配模型可以为装配设计的重用产生巨大的价值。但是,当前对装配模型的描述通常只考虑很少的几何信息就定性地捕获拓扑信息,因此不适合装配模型(CDSDA)中的CDSD。为了解决这个问题,本文提出了一种通用的面部邻接图(GFAG),该图是从面部邻接图扩展而来的,用于描述B-Rep零件模型。 GFAG通过引入配对面对(MFP)的概念,可以将装配模型中的抽象关系转换为可测量的实体,从而有助于在装配模型中对零件和关系进行更加定量和一致的描述。与零件模型中的几何面和边相对应,GFAG将装配模型中的零件和关系分别视为通用面和通用边。为了使GFAG具有更高的辨别能力,GFAG中的节点通过形状参数捕获零件的几何信息及其配合零件,并且还通过MFP的形状参数定量合并零件之间的关系。这样,GFAG可以定量地考虑更多的几何信息以及拓扑信息,因此可以映射到2D坐标系中以便于验证。我们还扩展了发现算法,以验证GFAG用于CDSDA的可行性,结果证明了预期的有效性。

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