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Screening Product Tolerances Considering Semantic Variation Propagation and Fusion for Assembly Precision Analysis

机译:考虑语义变异传播和装配精度分析的融合,筛选产品公差

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摘要

Considering that each computer-aided design (CAD) system has independent geometric dimensioning and tolerancing modeling method, precision information model generated by different CAD systems is difficult to be shared and reused by the downstream precision analysis system. To tackle the problem that tolerance semantic information cannot be transmitted through data exchange standards, this paper aims to propose a novel semantic tolerance screening approach to represent precision information for assembly precision analysis (APA) in the design stage. Based on semantic correlation between tolerance propagation and accumulation, precision information of multi-parts is preliminarily screened out. Then by utilizing semantic web rule language rules to determine the type and position of tolerance zones, multiple tolerances existing on a precision feature surface are refinedly screened out. Finally, a formal tolerance screening ontology, named ToS-Ontology, is generated for performing APA of complex products. The effectiveness of the proposed approach is demonstrated by a practical example, which is to calculate center distance between two holes to ensure bolts can pass smoothly in the limit case.
机译:考虑到每个计算机辅助设计(CAD)系统具有独立的几何尺寸和公差建模方法,难以通过下游精密分析系统共享和重复使用不同CAD系统生成的精确信息模型。为了解决公差语义信息无法通过数据交换标准传输的问题,本文旨在提出一种新颖的语义公差筛选方法来表示设计阶段中的装配精度分析(APA)的精度信息。基于公差传播与累积之间的语义相关性,预先筛选多部分的精确信息。然后,通过利用语义网络规则语言规则来确定公差区域的类型和位置,优化特征表面上存在的多种公差被过于筛选出来。最后,为执行复杂产品的APA产生名为TOS-ONTOLOGY的正式耐受性筛选本体。通过实际例子证明了所提出的方法的有效性,该实例是计算两个孔之间的中心距离,以确保螺栓可以在极限情况下平稳地通过。

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