哈尔滨工程大学学报2026，Vol.47Issue(8)：1671-1681,11.DOI:10.11990/jheu.202412039
三维开缝翼型的建模及水动力数值特性分析
Modeling and numerical analysis of hydrodynamic characteristics of three-dimensional slotted airfoils
摘要
Abstract
Aiming at the unclear hydrodynamic characteristics of three-dimensional slotted airfoils in underwater environments and the difficulty in directly applying existing aviation slotted designs,this paper conducts modeling and numerical analysis of their hydrodynamic characteristics.As a design to improve fluid dynamic performance by adding slots or openings on the airfoil,three-dimensional slotted airfoils are widely used in aviation to enhance lift and delay stall.However,considering the differences in density and viscosity between water and air,the underwa-ter flow mechanism differs significantly from that in air,so the application effect of three-dimensional slotted air-foils underwater needs urgent re-evaluation and optimization.In this paper,the Reynolds-Averaged Navier-Stokes(RANS)method is adopted.We adjust the position of slot curves through programming,establish three-dimensional models with different parameters using Creo software,and conduct detailed numerical flow field calcu-lations on the STAR-CCM+platform.Intensive grid refinement and grid convergence analysis are performed to en-sure the accuracy of computational results.We investigate the effects of different angles of attack,slot positions,widths,and slopes on the lift-drag ratio.The results show that rational optimization of these parameters can effec-tively improve the lift-drag ratio of three-dimensional slotted airfoils.This work provides crucial theoretical guid-ance and practical references for the design of efficient underwater slotted airfoils.关键词
三维开缝翼型/数值模拟/雷诺平均纳维-斯托克斯方法/水动力特性/升阻比Key words
three-dimensional slotted airfoil/numerical simulation/reynolds mean Navier-Stokes(RANS)method/hydrodynamic characteristics/lift-drag ratio分类
交通工程引用本文复制引用
沈纪新,周皓,马蕾,李嘉杰,叶礼裕..三维开缝翼型的建模及水动力数值特性分析[J].哈尔滨工程大学学报,2026,47(8):1671-1681,11.基金项目
国家自然科学基金项目(52571338,52371316). （52571338,52371316）
