一种基于面积法的翼型叶片逆向建模方法

曾泽鹏; 成思源; 蔡家铱; 杨雪荣

doi:10.19912/j.0254-0096.tynxb.2024-2437

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

一种基于面积法的翼型叶片逆向建模方法

更新时间：2026-07-21

- 一种基于面积法的翼型叶片逆向建模方法
- 一种基于面积法的翼型叶片逆向建模方法
- 太阳能学报 2026年47卷第5期页码：324-331
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2024-2437
  中图分类号： TP391
- 网络首发：2026-06-04，
  
  纸质出版：2026
- 稿件说明：
移动端阅览
曾泽鹏, 成思源, 蔡家铱, 等. 一种基于面积法的翼型叶片逆向建模方法[J]. 太阳能学报, 2026,47(5):324-331.

曾泽鹏, 成思源, 蔡家铱, et al. 一种基于面积法的翼型叶片逆向建模方法[J]. 2026, 47(5): 324-331.
曾泽鹏, 成思源, 蔡家铱, 等. 一种基于面积法的翼型叶片逆向建模方法[J]. 太阳能学报, 2026,47(5):324-331. DOI： 10.19912/j.0254-0096.tynxb.2024-2437.

曾泽鹏, 成思源, 蔡家铱, et al. 一种基于面积法的翼型叶片逆向建模方法[J]. 2026, 47(5): 324-331. DOI： 10.19912/j.0254-0096.tynxb.2024-2437.

摘要

在逆向建模过程中

为提高获取模型的准确性并加快设计效率

提出一种基于面积法的翼型叶片逆向建模方法。通过对翼型设计方程的积分运算和几何加减推导出一系列含有翼型参数的面积公式

并将翼型轮廓划分为4个特殊区域进行面积测量

然后将得到的面积值代入面积公式中来获得翼型的参数和型号。根据翼型的型号和设计方程正向设计出翼型截面的轮廓

再通过放样操作将不同截面的翼型轮廓连接获得翼型叶片模型。通过与型号变动的翼型截面轮廓面积进行比较

验证该方法的可行性。该方法将翼型的面积元素引入到逆向建模中

简化了对于翼型数据的获取。面积公式是由设计方程推导而来

计算过程简单快捷

降低了误差的同时

加快了逆向建模的速度。翼型型号的识别使获得的模型更符合设计原理

并为后续的优化设计提供了结构信息。

Abstract

During the reverse modeling process

an airfoil blade reverse modeling method based on area method is proposed to improve model accuracy and expedite design efficiency. A series of area formulas containing airfoil parameters are derived through integral operations

and geometric addition and subtraction based on the airfoil design equations. The airfoil contour is divided into four special regions and the area of these four regions is measured. The obtained areas are substituted into the area formulas to obtain the airfoil's parameters and type. The airfoil cross-section contour is forward designed through the type and design equations of airfoil

and the airfoil contours of different cross-sections are connected through lofting operation to obtain the airfoil blade model. By comparing the obtained results with the airfoil cross-sectional areas of variant models

the feasibility of this method is verified. The area elements of airfoil are introduced into reverse modeling in this method

which simplifies the acquisition of airfoil data.The area formulas are derived from design equations

and their calculation process is straightforward and fast

which can not only reduce errors but also accelerate the reverse modeling process. The identification of airfoil's type makes the obtained model more aligned with its design principles and provides structural information for subsequent optimization designs.

关键词

Keywords

references

韩忠华, 高正红, 宋文萍, 等. 翼型研究的历史、现状与未来发展[J]. 空气动力学学报, 2021, 39(6): 1-36.

李春曦, 吴英明, 苏顺龙, 等. 固定转捩对不同系列及厚度翼型气动性能的影响研究[J]. 太阳能学报, 2024, 45(8): 513-522.

郭兴铎, 李银然, 李仁年, 等. 湍流条件下风力机翼型动态气动特性研究[J]. 太阳能学报, 2024, 45(6): 556-563.

张德海, 李艳芹, 谢贵重, 等. 三维光学扫描技术逆向工程应用研究[J]. 应用光学, 2015, 36(4): 519-525.

CHEN L C, LIN G C I. Reverse engineering in the design of turbine blades-a case study in applying the MAMDP[J]. Robotics and computer-integrated manufacturing, 2000, 16(2/3): 161-167.

BAUER F, SCHRAPP M, SZIJARTO J.Accuracy analysis of a piece-to-piece reverse engineering workflow for a turbine foil based on multi-modal computed tomography and additive manufacturing[J]. Precision engineering, 2019, 60: 63-75.

SNEHA M, REDDY G S, ANANDA KUMAR D L M. Reverse engineering on jet engine turbine blade based on 3D printing design intent[J]. International journal of innovative technology and exploring engineering, 2019, 8(12): 5806-5810.

ZHANG Y, CHEN Z T.Constraints and CFD simulation-based parametric reconstruction for 2D blade profile in reverse engineering[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2016, 230(12): 2137-2146.

蔡家铱, 成思源, 何金瀚, 等. 一种基于设计意图识别的风力机叶片逆向建模方法[J]. 机床与液压, 2024, 52(19): 83-88.

ABDELGHAFAR I, KERIKOUS E, HOERNER S, et al.Evolutionary optimization of a Savonius rotor with sandeel-inspired blades[J]. Ocean engineering, 2023, 279: 114504.

HUANG S X, HU Y, WANG Y.Research on aerodynamic performance of a novel dolphin head-shaped bionic airfoil[J]. Energy, 2021, 214: 118179.

闫再友, 陆志良, 王江峰. 空气动力学[M]. 北京: 科学出版社, 2018.

TANABI N, SILVA A M, PESSOA M A O, et al. Robust algorithm software for NACA 4-digit airfoil shape optimization using the adjoint method[J]. Applied sciences, 2023, 13(7): 4269.

赵建国, 李怀正, 段红杰, 等. SolidWorks 2020三维设计及工程图应用[M]. 北京: 电子工业出版社, 2020.

CAD/CAM/CAE技术联盟, 叶国华, 卢园. 详解UG NX 12.0标准教程[M]. 北京: 电子工业出版社, 2018.

成思源, 杨雪荣. Geomagic Design X 逆向设计技术[M]. 北京: 清华大学出版社, 2017.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

风力机叶片翼型前缘结冰分布特征风洞试验

翼型前缘动态冲蚀磨损下的气动特性研究

超大型风力机长柔叶片颤振边界预测方法研究

冰晶-过冷水滴混合条件下风力机翼型结冰特性

风力机翼型磨损形貌下的气动特性数值研究