Multidisciplinary and Multiobjective Optimization Design of Long Blade Turbine Stage

doi:10.7652/xjtuxb201401001

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Multidisciplinary and Multiobjective Optimization Design of Long Blade Turbine Stage

更新时间：2025-07-09

- Multidisciplinary and Multiobjective Optimization Design of Long Blade Turbine Stage
- Vol. 48, Issue 1, Pages: 1-6(2014)
- 作者机构：
  
  西安交通大学叶轮机械研究所,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201401001
  CLC： TK263
- Online First：10 January 2014，
  
  Published：2014
- 稿件说明：
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Multidisciplinary and Multiobjective Optimization Design of Long Blade Turbine Stage[J]. 2014, 48(1): 1-6.
DOI：

Multidisciplinary and Multiobjective Optimization Design of Long Blade Turbine Stage[J]. 2014, 48(1): 1-6. DOI： 10.7652/xjtuxb201401001.

摘要

针对长叶片透平级优化问题

结合自适应多目标差分进化算法、基于3次非均匀B样条曲线的曲面造型技术及透平级气动和强度性能分析评价方法

建立了长叶片透平级多学科多目标优化设计系统

其中气动性能评估采用数值求解三维RANS方程完成

长叶片强度分析采用有限元方法完成。长叶片透平级的优化设计目标是比功率最大和最大等效应力最小

设计变量是透平级静叶和动叶型线的三维参数化控制参数。采用所建优化设计系统获得了长叶片透平级的7个多学科优化非受控解(Pareto解)。3个典型的Pareto解与参考叶型进行比较分析显示

优化后Pareto解下的气动和强度性能均优于参考叶型设计方案

从而验证了所建优化设计系统的实用性。

Abstract

The multidisciplinary and multiobjective optimization design system based on the self-adaptive multi-objective differential evolution(SMODE)algorithm

cubic non-uniform B-spline curves based surface modeling technology

and aerodynamic and strength performance evaluation of turbine stage was developed for the optimization of long blade turbine stages. The aerodynamic performance of the designed long blade turbine stage is evaluated by the three-dimensional Reynolds-averaged Navier-Stokes(RANS)solution. The strength of the long blade is obtained using the finite element analysis approach. The optimization design objectives of the turbine stage are the maximization of specific power and the minimization of maximum von Mises stress. The design variables are determined by the stator and rotor blade parameterization method. With the present optimization system

seven Pareto solutions of the long blade stage were obtained. The three typical Pareto solutions were selected to analyze the aerodynamic and strength performance of the optimized blade geometry and to compare with the original design. The results show that the aerodynamic and strength performance of the Pareto solutions obtained are superior to the original design

thus confirming the availability of the present multidisciplinary and multiobjective optimization design system for long blade turbine stages.

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references

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西安交通大学陕西省叶轮机械及动力装备工程实验室，710049，西安Shaanxi Provincial Engineering Laboratory of Turbomachinery and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China

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