This paper proposes a digital twin-based approach for simulating the inerting process of aircraft fuel tanks aiming to enhance explosion-proof safety through precise modelling and optimisation of oxygen distribution.A...This paper proposes a digital twin-based approach for simulating the inerting process of aircraft fuel tanks aiming to enhance explosion-proof safety through precise modelling and optimisation of oxygen distribution.A gas–liquid–solid multiphase coupled model is developed to accurately capture interactions between air,inert gas,fuel,and tank structure under dynamic flight conditions.The modelling process incorporates specially designed buffer layers to control inert gas inflow and outflow,while aircraft loading conditions are represented as equivalent accelerations to account for fuel sloshing effects.The numerical implementation uses the iterative computational framework of the Smoothed Particle Hydrodynamics(SPH)model,where physical properties and spatial positions of particles are calculated and recorded at each time step,enabling 3D visualisation of the inerting process using tools such as Blender.The model is validated using a 3D digital twin of aircraft fuel tanks,with results compared against commercial fluid dynamics software.Simulations under various inerting strategies analyse oxygen volume fraction variations over time,providing actionable insights for optimising aircraft fuel tank safety systems.This work contributes a highfidelity digital twin framework for aircraft fuel tanks,enabling simulation of oxygen distribution and inerting dynamics,and offering a scalable solution for aerospace safety management.展开更多
基金supported by the National Natural Science Foundation of China[52375514].
文摘This paper proposes a digital twin-based approach for simulating the inerting process of aircraft fuel tanks aiming to enhance explosion-proof safety through precise modelling and optimisation of oxygen distribution.A gas–liquid–solid multiphase coupled model is developed to accurately capture interactions between air,inert gas,fuel,and tank structure under dynamic flight conditions.The modelling process incorporates specially designed buffer layers to control inert gas inflow and outflow,while aircraft loading conditions are represented as equivalent accelerations to account for fuel sloshing effects.The numerical implementation uses the iterative computational framework of the Smoothed Particle Hydrodynamics(SPH)model,where physical properties and spatial positions of particles are calculated and recorded at each time step,enabling 3D visualisation of the inerting process using tools such as Blender.The model is validated using a 3D digital twin of aircraft fuel tanks,with results compared against commercial fluid dynamics software.Simulations under various inerting strategies analyse oxygen volume fraction variations over time,providing actionable insights for optimising aircraft fuel tank safety systems.This work contributes a highfidelity digital twin framework for aircraft fuel tanks,enabling simulation of oxygen distribution and inerting dynamics,and offering a scalable solution for aerospace safety management.
