Feature Generation and Detection of Morphology Error Based on Digital Twin Model
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 accura-cy,and poor applicability of multi-type complex structural parts. In response to this problem,a three-dimensional (3D) re-verse 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 detec-ted,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.
digital twincomplex structuremicroscopic surfacemorphology deviation
万方数据
维普
