针对于航空发动机叶片修复过程中传统夹具定位无法满足复杂曲面叶片损坏形式多样的要求，提出了采用散斑测量的复杂曲面叶片修复自适应定位方法.首先，构建视觉测量系统，通过对叶片表面散斑点的匹配与空间解算得到叶片立体点云数据和参考测量点空间坐标，完成叶片三维构型.然后，建立自适应定位模型，通过对各定位坐标系进行位姿矩阵解算，实现欠定位装夹下曲面叶片在机床坐标系下的自适应定位.最后，基于德玛吉五轴数控加工中心进行自适应定位实验，验证了定位方法的有效性与实用性.实验结果表明，定位各方向平移向量偏差小于0.25 mm，旋转矩阵欧拉角偏差小于0.2°，且通过一次装夹固定及视觉测量提取叶片形貌与位置信息，减少了定位工序，可为后续对损坏复杂曲面叶片加工复形的自适应定位修复提供实验依据.

Aiming at the fact that the traditional fixture positioning can not meet requirements of complex curved blade damage in the process of aero-engine blade repair, an adaptive positioning method for blade repair on complex curved surface based on speckle measurement was proposed. Firstly, a visual measurement system was constructed. The three-dimensional configuration of the blade was achieved by matching the speckles on the blade surface and calculating the spatial coordinates of the reference measuring points and the data of the blade solid point cloud. Then, an adaptive positioning model was established, and the pose matrix of each positioning coordinate system was calculated to realize the adaptive positioning of curved surface blades under under-positioning clamping in machine tool coordinate system. Finally, an adaptive positioning experiment based on demage five-axis NC machining center was carried out to verify the effectiveness and practicability of the positioning method. The experimental results show that the deviation of translation vectors is less than 0.25 mm and the deviation of Euler angle of rotation matrix is less than 0.2°. The shape and position information of blades are extracted by one-time clamping and fixing using visual measurement to reduce the locating process, which can provide an experimental basis for the subsequent adaptive positioning and repair of complex surface blades.