刀(考古)
变形(气象学)
GSM演进的增强数据速率
涡轮叶片
材料科学
结构工程
几何学
涡轮机
机械工程
工程类
计算机科学
复合材料
数学
人工智能
作者
Zhenyuan Zhang,Honglin LI,Zhonghao Tang,Yajie BAO,Yujie Zhao,Lei Li
标识
DOI:10.1016/j.cja.2025.103728
摘要
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.
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