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Feature-Based Multi-Resolution Modeling of Solids Using History-Based Boolean Operations - Part II: Implementation Using a Non-Manifold Modeling System

机译:使用基于历史的布尔运算对实体进行基于特征的多分辨率建模-第二部分:使用非流形建模系统的实现

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摘要

We propose a feature-based multi-resolution representation of B-rep solid models using history-based Boolean operations based on the merge-and-select algorithm. Because union and subtraction are commutative in the history-based Boolean operations, the integrity of the models at various levels of detail (LOD) is guaranteed for the reordered features regardless of whether the features are subtractive or additive. The multi resolution solid representation proposed in this paper includes a non-manifold topological merged-set model of all feature primitives as well as a feature-modeling tree reordered consistently with a given LOD criterion. As a result, a B-rep solid model for a given LOD can be provided quickly, because the boundary of the model is evaluated without any geometric calculation and extracted from the merged set by selecting the entities contributing to the LOD model shape.
机译:我们提出了一种基于特征的B-rep实体模型的多分辨率表示形式,该模型使用了基于合并和选择算法的基于历史的布尔运算。因为联合和减法在基于历史的布尔运算中是可交换的,所以对于重新排序的要素,无论细节是减法还是加法,都可以保证各个细节级别(LOD)的模型的完整性。本文提出的多分辨率实体表示包括所有特征基元的非流形拓扑合并集模型以及与给定LOD准则一致地重新排序的特征建模树。结果,可以快速提供给定LOD的B-rep实体模型,因为无需选择任何几何计算即可评估模型的边界,并且可以通过选择有助于LOD模型形状的实体从合并集中提取模型的边界。

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