| 面向并行设计的特征识别与模型重构方法 |
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| 引用本文： | 潘双夏,徐有忠,冯培恩,姜少飞,段福斌. 面向并行设计的特征识别与模型重构方法[J]. 计算机辅助设计与图形学学报, 2003, 15(8): 984-991 |
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| 作者姓名： | 潘双夏 徐有忠 冯培恩 姜少飞 段福斌 |
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| 作者单位： | 1. 浙江大学CAD&CG国家重点实验室,杭州,310027
2. 浙江科技学院机电工程学系,杭州,310012 |
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| 基金项目： | 国家自然科学基金 (5 963 5 15 0 )，浙江省重大科技攻关项目(0 2 110 15 60 )，浙江省自然科学基金(5 0 2 0 17,5 0 112 3 )资助 |
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| 摘 要： | 在分析现有CAD软件以及产品建模方法不足的基础上，引入广义工程语义特征的概念，应用广义特征对象实现面向并行设计的产品广义信息模型的简化表示；提出一种自动特征识别方法，对识别对象进行分类；以截面复杂的回转体特征为例，着重表述了基于基面的特征识别算法；扼要介绍Pro／E软件中的特征结构树，提出面向Pro／E的特征信息三级提取策略与特征信息模型重构原则，并据此开发了DFX原型系统．
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| 关 键 词： | CAD 并行设计 特征识别 模型重构 并行工程 计算机辅助设计 |
| 修稿时间： | 2002-07-10 |
Automatic Feature Recognition and Model Reconstruction for Concurrent Design |
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| Pan Shuangxia ) Xu Youzhong ) Feng Pei'en ) Jiang Shaofei ) Duan Fubin ) ). Automatic Feature Recognition and Model Reconstruction for Concurrent Design[J]. Journal of Computer-Aided Design & Computer Graphics, 2003, 15(8): 984-991 |
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| Authors: | Pan Shuangxia ) Xu Youzhong ) Feng Pei'en ) Jiang Shaofei ) Duan Fubin ) ) |
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| Affiliation: | Pan Shuangxia 1) Xu Youzhong 1) Feng Pei'en 1) Jiang Shaofei 1) Duan Fubin 2) 1) |
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| Abstract: | For realizing feature based integration of CAD/CAPP/CAM processes, an approach to recognize and extract design features is presented to facilitate the Design For X(DFX) evaluation and optimization in concurrent product development The concept of generalized engineering semantic feature (GESF) is introduced to represent the generalized product information model in a simplified way Feature recognition is fulfiled using case by case classification For instance, rotational features are classified by the shape of generatrix Based on the structure of feature tree in Pro/E software, a three step strategy is worked out to extract the feature information of part, and rules to reconstruct it into feature information model are elaborated In such a way, the Design For X prototype system is undergoing development |
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| Keywords: | feature recognition feature extraction model reconstruction product information model design for X (DFX) |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
