TY - JOUR
T1 - Shape-preserving mesh deformation method of perforated surfaces and application to double-wall turbine blade leading edge
AU - ZHANG, Zhenyuan
AU - LI, Honglin
AU - TANG, Zhonghao
AU - BAO, Yajie
AU - ZHAO, Yujie
AU - LI, Lei
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2026/1
Y1 - 2026/1
N2 - A Hybrid Free-Form Deformation (HFFD) method is developed to improve shape preservation in mesh deformation for perforated surfaces, which traditional Free-Form Deformation (FFD) techniques struggle to handle effectively. The proposed method enables high-fidelity parameterized deformation for both flat and curved perforated surfaces while maintaining mesh quality with minimal geometric distortion. To evaluate its effectiveness, comparative studies between HFFD and conventional FFD methods are conducted, demonstrating superior performance in mesh quality and geometric fidelity. The HFFD-based framework is further applied to the Multidisciplinary Design Optimization (MDO) of a double-wall turbine blade leading edge. Results indicate an 11.6 % increase in cooling efficiency and a 16.21 % reduction in maximum stress. Additionally, compared to traditional geometry-based parameterization in MDO, the HFFD approach improves model processing efficiency by 84.15 % and overall optimization efficiency by 20.05 %. These findings demonstrate HFFD's potential to significantly improve complex engineering design optimization by achieving precise shape preservation and improving computational efficiency.
AB - A Hybrid Free-Form Deformation (HFFD) method is developed to improve shape preservation in mesh deformation for perforated surfaces, which traditional Free-Form Deformation (FFD) techniques struggle to handle effectively. The proposed method enables high-fidelity parameterized deformation for both flat and curved perforated surfaces while maintaining mesh quality with minimal geometric distortion. To evaluate its effectiveness, comparative studies between HFFD and conventional FFD methods are conducted, demonstrating superior performance in mesh quality and geometric fidelity. The HFFD-based framework is further applied to the Multidisciplinary Design Optimization (MDO) of a double-wall turbine blade leading edge. Results indicate an 11.6 % increase in cooling efficiency and a 16.21 % reduction in maximum stress. Additionally, compared to traditional geometry-based parameterization in MDO, the HFFD approach improves model processing efficiency by 84.15 % and overall optimization efficiency by 20.05 %. These findings demonstrate HFFD's potential to significantly improve complex engineering design optimization by achieving precise shape preservation and improving computational efficiency.
KW - Double-wall turbine blade
KW - Free-form mesh deformation
KW - Multidisciplinary design optimization
KW - Parameterized mesh deformation
KW - Surrogate model
UR - https://www.scopus.com/pages/publications/105024896558
U2 - 10.1016/j.cja.2025.103728
DO - 10.1016/j.cja.2025.103728
M3 - 文章
AN - SCOPUS:105024896558
SN - 1000-9361
VL - 39
JO - Chinese Journal of Aeronautics
JF - Chinese Journal of Aeronautics
IS - 1
M1 - 103728
ER -