Abstract：The thin-walled blade has the characteristics of complex surface, poor rigidity, large and non-uniformly distributed machining error. The traditional sampling strategy only considers the geometric features, but ignores the machining error distribution. As a result, it may cause the loss of important shape information of the thin-walled blade, the waste of limited measuring resource and the restriction of the performance of CMM with high precision and efficiency. A region-division method of measurement point sampling is presented for these issues. It considers the machining error distribution as well as the geometric features. Firstly, the principle of measurement point sampling for the thin-walled blade is proposed. Secondly, the point sampling method is studied from two aspects, measurement region division and measurement point calculation. Finally, the proposed algorithm is verified and compared on an actual thin-walled blade. The results show that, the proposed method has a better reflection of the machining error when considering with the geometric characteristics, and can improve the measurement efficiency and accuracy.
2020, 
