...
首页> 外文期刊>Inverse problems in engineering >A three-dimensional inverse method using Navier-Stokes equations for turbomachinery blading
【24h】

A three-dimensional inverse method using Navier-Stokes equations for turbomachinery blading

机译:利用Navier-Stokes方程求解涡轮叶片的三维逆方法

获取原文
获取原文并翻译 | 示例
           

摘要

A new numerical method for solving fully three-dimensional inverse shape design problem of turbomachinery blading has been developed. The general inverse problem refers to the problem in which the pressure distributions on suction and pressure surfaces of blade are given, but the corresponding blade profile is unknown. In this paper, the calculations are based on the 3D Navier-Stokes equations expressed in terms of nonorthogonal curvilinear coordinates and corresponding nonorthogonal velocity components, and the explicit time marching algorithm and Baldwin - Lomax turbulence model are adopted. A special treatment for boundary conditions on blade surfaces is employed to satisfy the given pressure distribution. In computational process, an initial blade profile is supposed at starting, and then the blade surfaces will move regularly with time steps in the time marching process until the convergence is reached. The movement velocities at every point of blade surfaces are obtained from the solution of the Navier-Stokes equations. After each revision of the blade profile, the grid is reconstructed, and the aerodynamic parameters need to be transferred between the old and new grid points by an accurate interpolation method. Thus the viscous inverse problem is solved in a new process. The computational results for two test cases indicate that the method presented in this paper is very effective.
机译:开发了一种新的数值方法来解决涡轮机叶片全三维逆形状设计问题。一般的反问题是指这样的问题:给出了叶片的吸力和压力表面上的压力分布,但是相应的叶片轮廓是未知的。本文的计算基于以非正交曲线坐标和相应的非正交速度分量表示的3D Navier-Stokes方程,并采用了显式时间行进算法和Baldwin-Lomax湍流模型。对叶片表面的边界条件进行了特殊处理,以满足给定的压力分布。在计算过程中,应该假定初始叶片轮廓在开始时,然后叶片表面将在时间行进过程中按时间步长规律移动,直到达到收敛为止。根据Navier-Stokes方程的解获得叶片表面每个点的运动速度。在每次修改叶片轮廓之后,都将重建网格,并且需要通过精确的插值方法在新旧网格点之间传递空气动力学参数。因此,粘性逆问题在新过程中得以解决。两个测试案例的计算结果表明,本文提出的方法非常有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号