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作 者:王春香[1] 尹金林 潘杙成 纪康辉 Wang Chunxiang;Yin Jinlin;Pan Yicheng;Ji Kanghui(School of Mechanical Engineering,Inner Mongolia Autonomous Region,Inner Mongolia University of Science and Technology)
机构地区:[1]内蒙古科技大学机械工程学院
出 处:《特种铸造及有色合金》2023年第1期39-42,共4页Special Casting & Nonferrous Alloys
基 金:内蒙古科技大学科研资助项目(0341008001)。
摘 要:通过逆向工程技术对某汽车悬架具有装配结构的三角臂模型快速重构。利用激光扫描仪结合Geomagic Wrap采集实体点云数据,运用进化思维优化的BP神经网络算法对面积较大的跨面点云孔洞进行修补,以获得完整的点云数据模型。借助Geomagic Design X软件,利用精确曲面拟合的方法实现对三角臂臂体的高精度重构。对于臂体上装配的球铰,采用几何轮廓约束的方法完成建模,结合两种建模方法实现带有装配结构的三角臂铸件模型重构。将重构的实体模型与采集的点云数据进行误差对比,其平均误差为0.004 3 mm,满足设计要求。The triangular arm model with assembly structure of a certain automobile suspension was quickly reconstructed through reverse engineering technology. Physical point cloud data was collected by a laser scanner combined with Geomagic Wrap, and large cross-surface point cloud holes were repaired by the BP neural network algorithm optimized by evolutionary thinking to obtain a complete point cloud data model. With the help of Geomagic Design X software, the precise surface fitting method was utilized to realize the high-precision reconstruction of the triangle arm body. For the spherical hinge assembled on the arm body, the modeling was completed by geometric contour constraint method, and the reconstruction of the triangular arm casting model with the assembly structure was achieved by combining both modeling methods. The reconstructed solid model was compared with the collected point cloud data, and the average error is 0.004 3 mm, meeting the design requirements.
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