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.