| 基于图的夹具特征识别方法研究 |
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| 引用本文： | 刘金山,廖文和,刘长毅.基于图的夹具特征识别方法研究[J].机械科学与技术(西安),2007,26(6):723-727. |
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| 作者姓名： | 刘金山 廖文和 刘长毅 |
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| 作者单位： | 南京航空航天大学机电学院,南京210016 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 夹具特征识别是实现夹具自动化设计的基础。本文在属性邻接图的基础上,给出了一种通过几何推理实现夹具特征识别的方法。在该方法中定义了制造特征方向,并通过最大凹边凝聚的方法,实现了极限表面的识别,在此基础上通过一系列几何推理算法来识别夹具特征。该方法可以有效地解决CAD与夹具设计CAD之间的集成问题,为自动化夹具设计探索了一种新的途径。
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| 关 键 词： | 夹具设计 特征识别 夹具设计CAD |
| 文章编号： | 1003-8728（2007）06-0723-05 |
| 修稿时间： | 2006-07-07 |
Graph-based Fixture Feature Recognition Method |
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| Liu Jinshan,Liao Wenhe,Liu Changyi.Graph-based Fixture Feature Recognition Method[J].Mechanical Science and Technology,2007,26(6):723-727. |
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| Authors: | Liu Jinshan Liao Wenhe Liu Changyi |
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| Affiliation: | College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 |
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| Abstract: | Feature recognition of a fixture is a foundation for realizing its automatic design on the basis of attributive adjacency graph.We present a method for recognizing the features of a fixture through geometric reasoning.Following the method,we define the direction of the fixture manufacturing feature and recognize the surface feature using the maximum concave edge conglomeration method and a series of geometric-reasoning algorithms.Our method can effectively integrate CAD and the computer-aided fixture design(CAFD) and provides a new approach to automatic design of a fixture. |
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| Keywords: | fixture design feature recognition computer-aided fixture design(CAFD) |
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