• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2021, Vol. 57 ›› Issue (5): 166-176.doi: 10.3901/JME.2021.05.166

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Feature Matrix Based Complex Feature Hierarchical Recognition for Blank Model of Large Cabin Component

DUAN Xianyin1, YU Sheng1,2, PENG Fangyu3, ZHENG Yan4, JIANG Guozhang5, XIANG Feng5   

  1. 1. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081;
    2. Wuhan Kaimu Information Technology Co., Ltd, Wuhan 430070;
    3. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074;
    4. Wuxi Research Institute, Huazhong University of Science and Technology, Wuxi 214174;
    5. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081
  • Received:2020-05-08 Revised:2020-12-01 Online:2021-03-05 Published:2021-04-28

Abstract: Large cabin components are important parts of aerospace vehicles such as large aircrafts and rockets. They have many complex intersection features, which brings great challenges to the accurate identification of their internal features. The effective recognition of the internal characteristics of the blank model is foundation of the determination of machining allowance, optimization of cutting parameters and tool path planning. A hierarchical recognition algorithm for the intersection features of large and complex component blank models based on feature matrices is proposed, which realizes the multi-level complex intersection feature recognition based on the geometric topology information of the blank model. First, the threshold segmentation method is used to identify and eliminate the pseudo-features and data of the large and complex component blank model and optimize the blank model. Then, the attribute adjacency graph of the optimized blank model is constructed, and the intersection features of the optimized blank model are processed in layers by using the hierarchical recognition method to obtain a single feature and calculate its feature matrix. Multi-type single features are converted into feature matrices, and feature matching libraries are established. Finally, the feature matrix is matched with the feature library to accurately identify the intersection features. The blank model of cabin parts with multiple features is verified by cases, and the feasibility and effectiveness of the algorithm are verified by accurately identifying multiple types of features.

Key words: blank model recognition, intersection feature recognition, hierarchical algorithm, cabin parts, feature matrix, pseudo-features

CLC Number: