基于数字孪生模型的形貌误差特征生成与检测

Feature Generation and Detection of Morphology Error Based on Digital Twin Model

在大尺寸复杂结构零部件的检测中,工艺规划需要手动操作,测量效率较低,测量精度存在较大差异,对多类型复杂结构件适用性较差。针对该问题,提出了基于数字孪生模型的三维逆向重构测量方法。通过非接触式激光三维扫描技术对零件的扫描路径进行规划,在测量过程中不需要人工干预,将检测效率提高80%以上。在微观角度对零件表面进行检测,将处理好的点云数据与理论模型拟合对比,得到偏差分布及偏差值,通过偏差分析和几何参数比较,将零件的相应数据点和参数用于零件生产校正。

In the measuring of large-scale complex structural components,manual operation is required in process planning.Meanwhile,these measurement methods have low measurement efficiency,high deviation in measurement accuracy,and poor applicability of multi-type complex structural parts.In response to this problem,a three-dimensional(3D)reverse reconstruction measurement method is proposed based on a digital twin model.Through non-contact laser 3D scanning technology,the scanning path of the parts is planned,there is no need for artificial intervention in the measuring process,and the detection efficiency is increased by more than 80%.In a microscopic perspective,the surface of the part is detected,the data of the point cloud and the theoretical model are treated in contrast,deviation distribution and deviation values are obtained,and the corresponding data points and parameters of the parts can be used for parts production correction through deviation analysis and geometric comparison.