{"title":"Geometric Reasoning Based on Graph Grammar Parsing","authors":"Z. Fu, A. Pennington","doi":"10.1115/1.2919448","DOIUrl":null,"url":null,"abstract":"\n It has been recognized that future intelligent design support environments need to be able to reason about the geometry of products and to evaluate product functionality and performance against given constraints. A first step towards this goal is to provide a more robust information model which directly relates to design functionality or manufacturing characteristics, on which reasoning can be carried out. This has motivated research on feature-based modelling and reasoning. In this paper, an approach is presented to geometric reasoning based on graph grammar parsing. Our work combines methodologies from both design by features and feature recognition. A graph grammar is used to represent and manipulate features and geometric constraints. Geometric constraints are used within symbolic definitions of features and also to define relative position and orientation of features. The graph grammar parsing is incorporated with knowledge-based techniques to derive feature information and propagate constraints. This approach can be used to the transformation of feature information and to deal with feature interaction.","PeriodicalId":309583,"journal":{"name":"17th Design Automation Conference: Volume 2 — Computer-Aided Design, Mechanical Systems Simulation, and Analysis, Mechanisms, and Robotics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1991-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th Design Automation Conference: Volume 2 — Computer-Aided Design, Mechanical Systems Simulation, and Analysis, Mechanisms, and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.2919448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

It has been recognized that future intelligent design support environments need to be able to reason about the geometry of products and to evaluate product functionality and performance against given constraints. A first step towards this goal is to provide a more robust information model which directly relates to design functionality or manufacturing characteristics, on which reasoning can be carried out. This has motivated research on feature-based modelling and reasoning. In this paper, an approach is presented to geometric reasoning based on graph grammar parsing. Our work combines methodologies from both design by features and feature recognition. A graph grammar is used to represent and manipulate features and geometric constraints. Geometric constraints are used within symbolic definitions of features and also to define relative position and orientation of features. The graph grammar parsing is incorporated with knowledge-based techniques to derive feature information and propagate constraints. This approach can be used to the transformation of feature information and to deal with feature interaction.
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基于图语法解析的几何推理
人们已经认识到,未来的智能设计支持环境需要能够推断产品的几何形状,并根据给定的约束评估产品的功能和性能。实现这一目标的第一步是提供一个更健壮的信息模型,该模型与设计功能或制造特性直接相关,可以在其上进行推理。这激发了对基于特征的建模和推理的研究。本文提出了一种基于图语法解析的几何推理方法。我们的工作结合了特征设计和特征识别的方法。图语法用于表示和操作特征和几何约束。几何约束用于特征的符号定义,也用于定义特征的相对位置和方向。将图语法解析与基于知识的技术相结合,实现特征信息的提取和约束的传播。该方法可用于特征信息的转换和特征交互的处理。
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Geometric Reasoning Based on Graph Grammar Parsing
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