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Computational simulation and aerodynamic sensitivity analysis of film-cooled turbines.

机译:膜冷式涡轮机的计算仿真和空气动力学灵敏度分析。

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A computational tool is developed for the time accurate sensitivity analysis of the stage performance of hot gas, unsteady turbine components. An existing turbomachinery internal flow solver is adapted to the high temperature environment typical of the hot section of jet engines. A real gas model and film cooling capabilities are successfully incorporated in the software. The modifications to the existing algorithm are described; both the theoretical model and the numerical implementation are validated.; The accuracy of the code in evaluating turbine stage performance is tested using a turbine geometry typical of the last stage of aeronautical jet engines. The results of the performance analysis show that the predictions differ from the experimental data by less than 3%. A reliable grid generator, applicable to the domain discretization of the internal flow field of axial flow turbine is developed. A sensitivity analysis capability is added to the flow solver, by rendering it able to accurately evaluate the derivatives of the time varying output functions. The complex Taylor's series expansion (CTSE) technique is reviewed. Two of them are used to demonstrate the accuracy and time dependency of the differentiation process. The results are compared with finite differences (FD) approximations. The CTSE is more accurate than the FD, but less efficient. A “black box” differentiation of the source code, resulting from the automated application of the CTSE, generates high fidelity sensitivity algorithms, but with low computational efficiency and high memory requirements. New formulations of the CTSE are proposed and applied. Selective differentiation of the method for solving the non-linear implicit residual equation leads to sensitivity algorithms with the same accuracy but improved run time. The time dependent sensitivity derivatives are computed in run times comparable to the ones required by the FD approach.
机译:开发了一种计算工具,用于对热气,不稳定涡轮机部件的级性能进行时间​​精确的灵敏度分析。现有的涡轮机械内部流量求解器适用于喷气发动机热段典型的高温环境。真实的气体模型和薄膜冷却功能已成功整合到该软件中。描述了对现有算法的修改;理论模型和数值实现均得到验证。评估涡轮级性能的代码的准确性是使用航空喷气发动机末级的典型涡轮几何形状进行测试的。性能分析的结果表明,这些预测与实验数据相差不到3%。开发了一种适用于轴流式涡轮内部流场的域离散化的可靠网格发生器。通过使流量解析器能够准确地评估时变输出函数的导数,从而将灵敏度分析功能添加到了流量解析器中。评论了复杂的泰勒级数展开(CTSE)技术。他们中的两个被用来证明微分过程的准确性和时间依赖性。将结果与有限差分(FD)近似进行比较。 CTSE比FD更准确,但效率较低。由于CTSE的自动化应用,源代码的“黑匣子”区分产生了高保真度敏感度算法,但计算效率低且内存要求高。提出并应用了CTSE的新公式。求解非线性隐式残余方程的方法的选择性微分导致灵敏度算法具有相同的准确度,但改进了运行时间。与时间相关的灵敏度导数是在与FD方法所需的运行时间相当的运行时间中计算的。

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