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Regression rate behaviors of HTPB-based propellant combinations for hybrid rocket motor

机译：基于HTPB的混合动力火箭发动机推进剂组合的回归速率特性

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The purpose of this paper is to characterize the regression rate behavior of hybrid rocket motor propellant combinations, using hydrogen peroxide (HP), gaseous oxygen (GOX), nitrous oxide (N20) as the oxidizer and hydroxyl-terminated poly-butadiene (HTPB) as the based fuel. In order to complete this research by experiment and simulation, a hybrid rocket motor test system and a numerical simulation model are established. Series of hybrid rocket motor firing tests are conducted burning different propellant combinations, and several of those are used as references for numerical simulations. The numerical simulation model is developed by combining the Navies-Stokes equations with the turbulence model, one-step global reaction model, and solid-gas coupling model. The distribution of regression rate along the axis is determined by applying simulation mode to predict the combustion process and heat transfer inside the hybrid rocket motor. The time-space averaged regression rate has a good agreement between the numerical value and experimental data. The results indicate that the N2O/HTPB and GOX/HTPB propellant combinations have a higher regression rate, since the enhancement effect of latter is significant due to its higher flame temperature. Furthermore, the containing of aluminum (Al) and/or ammonium perchlorate(AP) in the grain does enhance the regression rate, mainly due to the more energy released inside the chamber and heat feedback to the grain surface by the aluminum combustion. (C) 2015 IAA. Published by Elsevier Ltd. All rights reserved.
机译：本文的目的是通过使用过氧化氢（HP），气态氧（GOX），一氧化二氮（N20）作为氧化剂和羟基封端的聚丁二烯（HTPB）来表征混合火箭发动机推进剂组合的回归速率特性。作为基础燃料。为了通过实验和仿真完成本研究，建立了混合动力火箭发动机测试系统和数值仿真模型。进行了一系列混合火箭发动机点火测试，燃烧不同的推进剂组合，其中一些用作数值模拟的参考。通过将Navies-Stokes方程与湍流模型，一站式整体反应模型和固-气耦合模型相结合，开发了数值模拟模型。通过应用模拟模式来预测混合火箭发动机内部的燃烧过程和传热，可以确定沿轴的回归率分布。时空平均回归率在数值和实验数据之间有很好的一致性。结果表明，N2O / HTPB和GOX / HTPB推进剂组合具有较高的回归率，因为后者的火焰温度较高，因此增强效果显着。此外，谷物中的铝（Al）和/或高氯酸铵（AP）的确提高了回归速度，这主要是由于室内释放出的更多能量以及铝燃烧将热量反馈到谷物表面的缘故。 （C）2015年IAA。由Elsevier Ltd.出版。保留所有权利。

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