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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2021, Vol. 42 ›› Issue (10): 524863-524863.doi: 10.7527/S1000-6893.2020.24863

• Review • Previous Articles     Next Articles

Development and application of AutoScan series automated 3D measuring equipment for complex parts

LI Zhongwei1, ZHANG Pan1, ZHONG Kai1, LI Wenlong2   

  1. 1. State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2020-10-12 Revised:2020-11-09 Published:2020-12-08
  • Supported by:
    National Natural Science Foundation of China (51675208);Excellent Young Program of Natural Science Foundation in Hubei Province (2019CFA045);The Major Project of Technological Innovation in Hubei Province(2019AAA008);Key Research and Development Program of Hubei Province (2020BAB137)

Abstract: Automated 3D measurement can realize precision inspection of complex parts and provide basic data for subsequent process optimization. It is a key technology to ensure the forming accuracy of complex parts in the aerospace field. However, it encounters four challenges in application:viewpoint planning of automated 3D measurement is still based on manual teaching, leading to inefficiency and poor performance; harsh environment of industrial sites such as the forging site can easily cause drift of the pre-calibration parameters of the system, and the measurement accuracy cannot be guaranteed; registration of multi-view measurement data still mainly adopts the method of marked points registration, which is complicated and has great limitations in application; affected by tooling and fixtures during online automated measurement, there is a large amount of background noise in the measurement point cloud, which affects the accuracy and stability of automated data processing. To overcome these problems, this paper introduces the key technologies such as automated measurement viewpoint planning based on binocular measuring equipment, self-calibration of system parameters based on coupled focal length ratio constraints, measurement data registration of multi-view based on global optimization, and background noise removal of point cloud based on adaptive threshold Iterative Closest Point (ICP). A series of automated 3D measurement equipment is developed, including PowerVirtualPlan viewpoint planning software, PowerScan 3D measurement software, and iPoint3D data processing software. Application of automated 3D measurement equipment in aerospace and other fields are also presented.

Key words: automated three-dimensional measurement, measurement viewpoint planning, self-calibration of system parameter, multi-view measurement data registration, removal of background noise of point cloud, precision measurement

CLC Number: