Burn-back Analysis Program Development of a Solid Propellant Motor using Fast Marching Method

Donghoon Chae

doi:10.6108/KSPE.2026.30.2.050

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2026 Vol.30, Issue 2 Preview Page Next Page

RESEARCH PAPERS

Burn-back Analysis Program Development of a Solid Propellant Motor using Fast Marching Method Fast Marching Method를 이용한 고체 추진제의 연소면적 해석 프로그램 개발

30 April 2026. pp. 50-62

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Abstract

The Fast Marching Method (FMM) is a widely used algorithm for analyzing burn-back tendency, which can reduce computational complexity of the typically used algorithms, such as level set method (LSM). The purpose of this study is to develop and verify a burn-back analysis program using FMM. Burn-back analysis was conducted on various two-dimensional grain configurations and results were compared with a program based on LSM. It was confirmed that both LSM and FMM programs achieved highly accurate solutions compared to the analytical solution. It was also found that the computational time of the FMM based program was reduced compared to that of the program based on LSM.

Keywords

Solid Rocket Motor

Burn-back Analysis

Fast Marching Method

Level Set Method

Fast Marching Method(FMM)는 고체 추진제의 연소면적 해석에 자주 사용되는 알고리즘으로, level set method(LSM)와 같이 일반적으로 사용되는 알고리즘보다 계산 복잡도가 낮은 것으로 알려져 있다. 본 연구에서는 이러한 FMM 방법을 적용하여 연소면적 변화를 예측할 수 있는 프로그램을 개발 및 검증하였다. 개발된 프로그램을 이용하여 다양한 2차원 그레인 형상에 대하여 연소면적 해석을 수행하였으며, 그 결과를 LSM 기반의 프로그램과 비교하였다. 해석해와 비교하였을 때, FMM과 LSM 모두 정확도가 높았으며, 두 기법이 동일한 수준의 정확도를 보이는 것을 확인하였다. 또한, FMM 기반의 프로그램이 LSM 기반의 프로그램보다 더 작은 계산시간으로 결과를 도출할 수 있음을 확인하였다.

키워드

고체 추진기관

연소면적 해석

빠른 행진 기법

레벨 셋 기법

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Information

Publisher :The Korean Society of Propulsion Engineers
Publisher(Ko) :한국추진공학회
Journal Title :Journal of the Korean Society of Propulsion Engineers
Journal Title(Ko) :한국추진공학회지
Volume : 30
No :2
Pages :50-62
Received Date : 2025-09-19
Revised Date : 2026-01-20
Accepted Date : 2026-03-27
DOI :https://doi.org/10.6108/KSPE.2026.30.2.050

Journal of the Korean Society of Propulsion Engineers ISSN:1226-6027(Print) 2288-4548(Online) 한국추진공학회지

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