TY - JOUR
T1 - A model reconstruction strategy with geometric parameters adjustment function for repairing damaged blade
AU - Dang, Jianing
AU - Wu, Baohai
AU - Zhang, Ying
AU - Gao, Limin
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2023/5
Y1 - 2023/5
N2 - The model of the damaged blade is essential and needs to be reconstructed when repairing the blade. Due to the blade deformation, the performance of the reconstructed model may not satisfy the service requirement, which may result in the failure of repair. To obtain the reconstructed model with desired performance, the geometric parameters of the reconstructed model must be changed and tested constantly during the reconstruction process, causing the urgent demand for the reconstruction method which can adjust the geometric parameters of the reconstructed model to given values. Therefore, in this paper, a model reconstruction strategy with geometric parameters adjustment function is proposed. The strategy extracts the damaged cross-section curves (CSCs) of the blade first and then repairs them through a parametric algorithm. The parametric algorithm reconstructs the damaged CSCs through the camber line and can ensure the geometric parameters of repaired CSCs are consistent with the given values. Subsequently, the blade model with given geometric parameters is obtained by lofting repaired CSCs. Finally, an experiment is conducted to validate the strategy. The result shows that the geometric parameters of the reconstructed model are adjusted effectively to the given values. Most of the deviations between the reconstructed and scanning model in the undamaged area are less than 0.01 mm and the surface of the reconstructed model is smooth. Thus, it is concluded that the proposed strategy can reconstruct the damaged blade precise model and adjust the geometric parameters of the reconstructed model to the given values.
AB - The model of the damaged blade is essential and needs to be reconstructed when repairing the blade. Due to the blade deformation, the performance of the reconstructed model may not satisfy the service requirement, which may result in the failure of repair. To obtain the reconstructed model with desired performance, the geometric parameters of the reconstructed model must be changed and tested constantly during the reconstruction process, causing the urgent demand for the reconstruction method which can adjust the geometric parameters of the reconstructed model to given values. Therefore, in this paper, a model reconstruction strategy with geometric parameters adjustment function is proposed. The strategy extracts the damaged cross-section curves (CSCs) of the blade first and then repairs them through a parametric algorithm. The parametric algorithm reconstructs the damaged CSCs through the camber line and can ensure the geometric parameters of repaired CSCs are consistent with the given values. Subsequently, the blade model with given geometric parameters is obtained by lofting repaired CSCs. Finally, an experiment is conducted to validate the strategy. The result shows that the geometric parameters of the reconstructed model are adjusted effectively to the given values. Most of the deviations between the reconstructed and scanning model in the undamaged area are less than 0.01 mm and the surface of the reconstructed model is smooth. Thus, it is concluded that the proposed strategy can reconstruct the damaged blade precise model and adjust the geometric parameters of the reconstructed model to the given values.
KW - Blade repair
KW - Cross-section curves
KW - Geometric parameters adjustment
KW - Model reconstruction
KW - Repair parameters
UR - http://www.scopus.com/inward/record.url?scp=85149307892&partnerID=8YFLogxK
U2 - 10.1007/s00170-023-11182-x
DO - 10.1007/s00170-023-11182-x
M3 - 文章
AN - SCOPUS:85149307892
SN - 0268-3768
VL - 126
SP - 973
EP - 989
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 3-4
ER -