Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing

GUO Jianying; LIANG Jin; YE Meitu; WANG Mingming; SHI Wei

doi:10.37188/OPE.20223024.3105

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Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing

Modern Applied Optics | 更新时间：2022-12-27

- Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing
- Optics and Precision Engineering Vol. 30, Issue 24, Pages: 3105-3115(2022)
- 作者机构：
  
  1.西安交通大学机械工程学院陕西西安 710049
  2.中国航发四川燃气涡轮研究院强度传动试验研究室，四川绵阳 621000
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20223024.3105
  CLC： TP391.41
- Received：23 May 2022，
  
  Revised：30 June 2022，
  
  Published：25 December 2022
- 稿件说明：
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郭建英,梁晋,叶美图等.反射镜面辅助的航空机匣三维变形多视角测量[J].光学精密工程,2022,30(24):3105-3115.

GUO Jianying,LIANG Jin,YE Meitu,et al.Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing[J].Optics and Precision Engineering,2022,30(24):3105-3115.
郭建英,梁晋,叶美图等.反射镜面辅助的航空机匣三维变形多视角测量[J].光学精密工程,2022,30(24):3105-3115. DOI： 10.37188/OPE.20223024.3105.

GUO Jianying,LIANG Jin,YE Meitu,et al.Mirror-assisted multi-view measurement of 3D deformation for aero-engine casing[J].Optics and Precision Engineering,2022,30(24):3105-3115. DOI： 10.37188/OPE.20223024.3105.

摘要

针对航空发动机机匣部分表面变形场无法使用常规的三维数字图像相关（3D-DIC）设备充分测量的问题，提出了一种反射镜面辅助的机匣三维变形多视角测量方法，并构建了一套与方法相适应的机匣三维变形多视角测量系统。引入高精度的相机标定方法，提出了反射成像的校正方式，采用经典的数字图像相关匹配算法，利用摄影测量将多个DIC单元的测量数据对齐在同一坐标系下，从而获得了同一时刻多个视场的三维形貌和变形场。专门设计了单向拉伸试验，证明所提方法的形貌重建精度为0.03 mm，应变测量精度小于50 με。将所提系统应用于航空发动机中介机匣加载试验中，实现了机匣肋板表面的多视场重建，并获得了相应的三维变形场，测量结果与有限元计算结果吻合。结果表明，该方法适用于航空发动机机匣变形的多视角测量，对复杂型腔体的结构设计和强度试验具有重要的工程价值。

Abstract

Because conventional three-dimensional digital image correlation （3D-DIC） equipment cannot be used to fully measure the deformation field of the partial surface of an aero-engine， a mirror-assisted muti-view measurement method is proposed and a set of multi-view 3D deformation measurement systems is constructed. The proposed method includes a high-precision camera calibration model， a correction method for reflection imaging， and a classical digital image correlation algorithm. In addition， using a photogrammetric technique， the method can align the measurement data of multiple 3D-DIC units to a common coordinate system to obtain multiple 3D shape and deformation fields simultaneously. The accuracy of the proposed method is verified through a specially designed uniaxial tensile test， where the accuracy of shape reconstruction is 0.03 mm， and the error of strain measurement is less than 50 με. Finally， the proposed system is applied to the loading test of an aero-engine casing. The shapes and corresponding deformation fields of multiple ribs of the casing are measured successfully， the results of which are consistent with those of finite element simulations. The results all demonstrate that the method is suitable for multi-view measurements of aero-engine casing deformation and has important engineering value for the structural designs and strength tests of complex cavities.

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