Aiming at the difficulty in detecting the machining error of free-form surface blade
a method for evaluating the machining error of free-form surfaces is proposed
where the point cloud is obtained by the high-precision blue-light scanner as the measured data
and the STL model of the free-form surface is taken as the theoretical one.The dynamic deviation threshold is set to remove the far outliers of point cloud
and the near outliers of the point cloud are removed with the SVLOF method.Then the iterative closest points algorithm is used to separate the rotation of the point cloud position error
and the adaptive particle swarm algorithm is used to separate the translation amount according to the minimum region principle.The deviation between the point cloud and the model is calculated after the reference transformation of the point cloud.The experimental results show that the root mean square error of the position error vector evaluated with the proposed method is reduced by 66% and
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references
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