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Collaborative Research: Discoveries in Multiphase Detonations: Fuel Droplet Processing at Extreme Conditions

合作研究：多相爆炸的发现：极端条件下的燃料液滴处理

基本信息

批准号：
2044767
负责人：
Jacob McFarland
金额：
$ 22.77万
依托单位：
Texas A&M Engineering Experiment Station
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2044767&HistoricalAwards=false
关键词：
Collaborative Research Discoveries Multiphase Detonations

项目摘要

Combustion of storable, liquid fuels is common in everyday life, powering cars, trains, airplanes, and ships. The combustion efficiency in these engines depends on the reaction rate. As the reaction rate becomes faster, the combustion front propagates faster and can exceed the speed of sound, in a process known as a detonation wave. Combustion devices operating with detonation waves can yield much higher efficiencies compared to traditional engines. In liquid fueled detonation engines, fuel droplets, about the size of a red blood cell, must be broken up, evaporated, and reacted over few nanoseconds. In this project, a combination of new experimental and simulation methods will be used to better understand liquid fuel break up process and to develop a new model for the burning of fuel droplets in a detonation wave. The model developed can be used to improve the design of engines for civilian and defense applications. The overall goal of this project is to understand how 2-20 nanometer fuel droplets undergo simultaneous hydrodynamic breakup, vaporization, and reaction (SBVR) under detonation conditions. For this purpose, a new SBVR model will be developed and tested with fully resolved microscale simulations, and mesoscale multiphase detonation tube experiments and simulations. Microscale simulations will be performed using an in-house simulation code, IMPACT, based on the ghost fluid method. The SBVR model will be implemented on Lagrangian point particles in the open source hydrodynamics code, FLASH to simulate mesoscale experiments. Experiments will be conducted using the multiphase detonation tube facility. The key tasks to be conducted include, (i) investigations of simultaneous droplet breakup, phase change, and reaction in microscale simulations; (ii) measurement of detonation properties for various fuel droplet sizes using detonation tube experiments; and (iii) development and testing the SBVR model using experimental and mesoscale simulations data.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

可储存的液体燃料的燃烧在日常生活中很常见，为汽车、火车、飞机和轮船提供动力。这些发动机中的燃烧效率取决于反应速率。随着反应速率变快，燃烧前沿传播得更快，并且可以超过声速，这一过程称为爆震波。与传统发动机相比，利用爆震波操作的燃烧装置可以产生高得多的效率。在液体燃料爆震发动机中，红细胞大小的燃料液滴必须在几纳秒内破碎、蒸发和反应。在这个项目中，新的实验和模拟方法相结合，将被用来更好地了解液体燃料的破碎过程，并开发一个新的模型在爆震波燃料液滴的燃烧。该模型可用于改进民用和国防发动机的设计。该项目的总体目标是了解2-20纳米燃料液滴如何在爆震条件下同时进行流体动力学破碎，蒸发和反应（SBVR）。为此，将开发一种新的SBVR模型，并通过完全分辨的微尺度模拟和中尺度多相爆震管实验和模拟进行测试。将使用基于虚拟流体方法的内部模拟代码IMPACT进行微尺度模拟。SBVR模型将在开放源代码流体动力学代码FLASH中的拉格朗日点粒子上实现，以模拟中尺度实验。实验将使用多相爆震管设施进行。要进行的关键任务包括：（i）在微尺度模拟中同时进行的液滴破碎、相变和反应的研究;（ii）使用爆震管实验测量不同燃料液滴尺寸的爆震特性;以及（iii）利用实验和中尺度模拟数据开发和测试SBVR模型。该奖项反映了NSF的法定使命，并被认为值得通过评估予以支持使用基金会的知识价值和更广泛的影响审查标准。