고체추진기관 연소/구조 건전성 모니터링 기술의 연구 동향
Research Trends in Combustion and Structural Health Monitoring Technologies for Solid Propulsion Systems
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Solid propulsion systems are widely used in aerospace and defense due to their high energy density and storability. However, irreversible combustion and long-term exposure to harsh environments require accurate assessment of material degradation. Conventional health monitoring relies on destructive testing, which is time-consuming and costly. Recently, sensor-based structural health monitoring(SHM) and digital twin technologies have gained attention as alternatives, though their application to solid propulsion remains limited due to nonlinear degradation and sensor integration challenges. This paper reviews degradation mechanisms in solid motors and explores SHM and digital twin strategies applied in other propulsion systems. A framework combining embedded sensors, multiphysics simulation, and AI-driven prediction is proposed to enable real-time diagnostics and condition-based maintenance for solid propulsion systems.
Abstract
Solid propulsion systems are widely used in aerospace and defense due to their high energy density and storability. However, irreversible combustion and long-term exposure to harsh environments require accurate assessment of material degradation. Conventional health monitoring relies on destructive testing, which is time-consuming and costly. Recently, sensor-based structural health monitoring(SHM) and digital twin technologies have gained attention as alternatives, though their application to solid propulsion remains limited due to nonlinear degradation and sensor integration challenges. This paper reviews degradation mechanisms in solid motors and explores SHM and digital twin strategies applied in other propulsion systems. A framework combining embedded sensors, multiphysics simulation, and AI-driven prediction is proposed to enable real-time diagnostics and condition-based maintenance for solid propulsion systems.