Flow Characteristics and Stability of Induced Shock Waves in the Isolator of Rotating Detonation Ramjet under Flight Mach Number 2.5 Conditions

Qianmin Wu,Zhiyong Lin,Xixuan Huang,Dingrui Zhang

AEROSPACE SCIENCE AND TECHNOLOGY（2023）

Cited 1|Views14

Abstract

A 3D numerical simulation of a rotating detonation ramjet engine (RDRE) with isolator and combustor was performed under flight Mach number 2.5 conditions. Factors that influence the stable operation of isolator, such as equivalence ratio, length and expansion ratio of the isolator, were systematically investigated. The structure and stability mechanism of shock wave in the isolator wave were also investigated. Results show that the shock waves in the isolator are mainly composed of the spiral shock wave band (SSWB) and the leading shock wave (LSW), which are induced by the detonation wave and the strong disturbance of SSWB in the supersonic incoming flow, respectively. The airflow behind the LSW obtains the total pressure gain caused by the work of SSWB, when SSWB moves toward the isolator inlet. The speed of LSW is mainly affected by the pressure of detonation wave. The greater the pressure of the detonation wave, the faster the speed of LSW. When the total pressure at the leading edge of SSWB is lower than that of the incoming flow, LSW will stabilize in the isolator. A concept of critical pressure ratio was proposed in the present study, which is the ratio of the average total pressure of the rotating detonation wave to the total pressure at the isolator inlet. In the research configuration and working conditions of this paper, the critical pressure ratio is slightly smaller than 6 when the equivalence ratio of H2/Air premixed mixture is 0.7, below which the isolator can work continuously and stably.

Translated text

Key words

Flow stability,Isolator,Rotating detonation,The spiral shock band,The critical pressure ratio

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper