径向水轮机初步设计及性能预测

Angelo Leto
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摘要

本研究将为径向涡轮的初步优化设计提供一个模型,并对效率预测中最相关的损失模型进行分析。在MATLAB环境下开发了一维径向涡轮全局设计程序。该模型的目的是估计与之相关的参数的效率和优化,并预测损失。透平内部的流动是复杂的,透平内部流动损失的机理目前还不清楚。计算流体动力学CFD模拟基于复杂的三维粘性方法,需要大量的迭代,因此需要大量的时间,以获得几何形状的改进,通过收敛得到的可接受的解往往不是最优解。而可以利用一维模型在经验损失模型与实验损失模型相结合的基础上预测机器的全局设计,能够以较少的时间提供良好的性能估计。在这项工作中,对损失模型进行了分析和开发,以获得有用的热力学和几何信息,这是优化CFD模拟所必需的。RTGD可用于旋翼叶片的三维几何设计,并结合使用Aria和Argon作为工作流体的实际径向涡轮机的文献数据进行了测试,并与NASA代码RIFTUD进行了比较。计算结果与文献计算结果相比误差小,重现了涡轮的几何形状,具有较好的可靠性。此外,RTGD可以通过两种方法来预测涡轮机的性能,一种是考虑涡轮机的几何形状,另一种是考虑损失引起的焓降。第二种估算效率的方法是必要的,以便确认用第一种方法计算的效率,从而确定涡轮机的良好几何设计。该程序经验证后,用于空间应用中需要高效率和低膨胀比的膨胀循环火箭发动机径向涡轮设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radial turbine preliminary design and performance prediction
This work will present a model for the preliminary optimized design of a radial turbine and an analysis of the most relevant loss models for efficiency prediction.A one-dimensional code, Radial Turbine Global Design, was developed in MATLAB environment. The model developed has the objective to estimate the efficiency and optimization of the parameters related to it, and losses prediction.The flow that through a turbine is complex and many mechanisms of the flow losses in turbine, have not be known well. The computational fluid dynamics CFD simulations is based on complex three-dimensional viscous methods, which require considerable iterations and, therefore time, in order to obtain an improvement of the geometry, through the convergence to an acceptable solution often not optimal. While, can be used of one-dimensional models able to predict the global design of the machine based on the combination of empirical and experimental loss models, able to provide a good performance estimate with reduced times. In this work, the loss models are analyzed and developed to obtain useful thermodynamic and geometrical information, necessary for an optimization CFD simulation.The RTGD has proven useful for the geometric design three-dimensional of the rotor blades and was tested by considering literature data of real radial turbines that use both Aria and Argon as working fluid, in addition it was compared with the NASA code RIFTUD.The code has excellent reliability because the results obtained reproduce the turbine geometry with a low error compared to the literatures case.Furthermore, RTGD can predict turbine performance through two approaches, the first considering the turbine geometry and the second considering the enthalpy drop due to losses. The second approach for estimating efficiency is necessary in order to confirm the one calculated with the first approach, and therefore the good geometric design of the turbine.The code, after being validated, was used for the radial turbines design for space applications for expander cycle rocket engines which require a high efficiency and a low expansion ratio.
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