| REVERSE MODELING FOR CONIC BLENDING FEATURE |
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| 引用本文： | Fan Shuqian Ke Yinglin College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou 310027,China. REVERSE MODELING FOR CONIC BLENDING FEATURE[J]. 机械工程学报(英文版), 2005, 18(4): 482-489 |
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| 作者姓名： | Fan Shuqian Ke Yinglin College of Mechanical and Energy Engineering Zhejiang University Hangzhou 310027 China |
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| 作者单位： | Fan Shuqian Ke Yinglin College of Mechanical and Energy Engineering，Zhejiang University，Hangzhou 310027，China |
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| 基金项目： | This project is supported by General Electric Company and National Advanced Technology Project of China(No.863-511-942-018). |
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| 摘 要： | A novel method to extract conic blending feature in reverse engineering is presented. Different from the methods to recover constant and variable radius blends from unorganized points,it contains not only novel segmentation and feature recognition techniques,but also bias corrected technique to capture more reliable distribution of feature parameters along the spine curve.The segmentation depending on point classification separates the points in the conic blend region from the input point cloud.The available feature parameters of the cross-sectional curves are extracted with the processes of slicing point clouds with planes,conic curve fitting,and parameters estimation and compensation.The extracted parameters and its distribution laws are refined according to statistic theory such as regression analysis and hypothesis test.The proposed method can accurately capture the original design intentions and conveniently guide the reverse modeling process.Application examples are presented to verify the high precision and stability of the proposed method.
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| 关 键 词： | CAD 逆向工程 特征识别 几何建模 统计理论 混合表面 |
REVERSE MODELING FOR CONIC BLENDING FEATURE |
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| Fan Shuqian Ke Yinglin. REVERSE MODELING FOR CONIC BLENDING FEATURE[J]. Chinese Journal of Mechanical Engineering, 2005, 18(4): 482-489 |
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| Authors: | Fan Shuqian Ke Yinglin |
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| Affiliation: | College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | A novel method to extract conic blending feature in reverse engineering is presented. Different from the methods to recover constant and variable radius blends from unorganized points,it contains not only novel segmentation and feature recognition techniques,but also bias corrected technique to capture more reliable distribution of feature parameters along the spine curve.The segmentation depending on point classification separates the points in the conic blend region from the input point cloud.The available feature parameters of the cross-sectional curves are extracted with the processes of slicing point clouds with planes,conic curve fitting,and parameters estimation and compensation.The extracted parameters and its distribution laws are refined according to statistic theory such as regression analysis and hypothesis test.The proposed method can accurately capture the original design intentions and conveniently guide the reverse modeling process.Application examples are presented to verify the high precision and stability of the proposed method. |
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| Keywords: | Computer-aided design Reverse engineering Feature recognition Geometric modeling Statistic theory Blending surface |
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