首页> 外军国防科技报告 >ARL-TR-8524 - Assessment of Cavitation Models for Computational Fluid Dynamics Analysis of Erosion Risk in a Hydrocarbon-Fueled Nozzle | U.S. Army Research Laboratory
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ARL-TR-8524 - Assessment of Cavitation Models for Computational Fluid Dynamics Analysis of Erosion Risk in a Hydrocarbon-Fueled Nozzle | U.S. Army Research Laboratory

机译:ARL-TR-8524 - 用于计算流体动力学的空化模型评估烃类燃料喷嘴中的侵蚀风险分析美国陆军研究实验室

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摘要

Shear-driven cavitation plays an important role in many technological applications, particularly in fuel injectors for piston and gas-turbine engines. Cavitation affects the performance and longevity of fuel injectors; hence it is desirable to understand and predict its behavior since it can have favorable as well as adverse effects. Although there have been a vast number of studies, a full understanding describing its behavior has not yet been achieved. This is in part due to the complexities associated with cavitating flows, including internal flow physics, two-phase flow, and non-equilibrium thermodynamics. In this work, an assessment of the AVL-Fire computational fluid dynamics (CFD) solver coupled to an Eulerianâ??Eulerian cavitation model is conducted to investigate cavitation onset and the risk of erosion damage in a nozzle. The cavitation models in AVL-Fire are interrogated by comparing its ability to capture cavitation onset to experiments from a laboratory-scale optical nozzle. The models are also compared to existing CFD models across nozzle conditions in the range 20 < dP < 85 bar using n-dodecane fuel. The models captured the cavitation process near the injector wall regions and were able to predict the critical cavitation points and the chocked flow regions, as well as quantify erosion damage. The findings will be useful to guide the design of innovative Army propulsion technologies with improved engine endurance and enhanced performance.

著录项

  • 作者

    Piehl, Joshua; Bravo, Luis;

  • 作者单位
  • 年(卷),期 2018(),
  • 年度 2018
  • 页码
  • 总页数 36
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 网站名称 美国陆军研究实验室
  • 栏目名称 全部文件
  • 关键词

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