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具有复杂内腔和外形的斗齿快速逆向设计 被引量:1

The rapid reverse design of excavator bucket teeth with both complex inner cavity and outer shapes
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摘要 为了获得某型挖掘机斗齿点云逆向造型的实体化模型和CAD工程图样,研究了斗齿点云快速实体化的方法.采用基于"曲面重构—实体化—工程图"的逆向设计途径,提出把对精度要求高的内腔和销孔部位及对精度要求一般的斗齿外形分别用Imageware及Geomagic Studio软件完成曲面重构和基于Pro/E软件完成曲面合并和实体化的逆向策略,介绍了斗齿点云的数据分割、曲面重构与合并、实体化以及其工程图获取过程中的主要过程和方法.研究结果表明:对于型面数量多而复杂的斗齿,曲面逆向工具的选取及点云的数据分割方法是否得当是决定曲面和实体模型重建效率和成败的关键,通过恰当选择逆向策略和工具,合理简化点云的分割、曲面重构与合并以及实体模型的建立等,可显著提高逆向设计效率. To obtain physical models and CAD drawings of the point cloud reverse modeling of a bucket tooth of a certain excavator, quickly materialized method of the bucket tooth point cloud was studied. Reverse design approach which based on the "surface reconstruction-materialized- drawings" was adopted, reverse strategy include using Imageware software to complete surface reconstruction of the cavity and pin hole area which have high precision, and using Geomagic Stu- dio software to complete surface reconstruction of the general shape of the bucket tooth, and u- sing Pro/E software to complete the surface merger and materialization was proposed. The main processes and methods included tooth point cloud data segmentation, surface reconstruction and consolidation, as well as materialization and the access to get engineering drawing was described. The results show that: for bucket teeth with many and complicated molded surfaces, the selec- tion of the tools of reverse the surface and the data methods to segment the point cloud determine the efficiency of reconstruction of the surface and entity and if its success or failure. It will signif- icantly improve the efficiency of the reverse design if we select appropriate strategies and tools to reverse, simplify rational point cloud segmentation, and surface reconstruction and consolidation, and the process of building physical models.
出处 《工程设计学报》 CSCD 北大核心 2012年第6期460-464,共5页 Chinese Journal of Engineering Design
基金 内蒙古自治区自然科学基金资助项目(2011MS0701) 包头市科技发展基金资助项目(2008)
关键词 挖掘机斗齿 实体化 点云分割 曲面重建 excavator bucket teeth materialized point cloud segmentation surface reconstruction
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