A method for modeling the combustion dynamics of nano-aluminum particles based on molecular reaction dynamics
By combining molecular reaction dynamics and quantum chemical calculations, a heterogeneous combustion dynamics model for the combustion of nano-aluminum particles was constructed. This model solves the problems of insufficient reaction pathways and difficulty in obtaining parameters in existing modeling methods, and achieves more accurate prediction of ignition delay and heat release, supporting combustion chamber design and fuel optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SICHUAN UNIV
- Filing Date
- 2026-06-01
- Publication Date
- 2026-06-30
AI Technical Summary
Existing methods for modeling the combustion kinetics of nano-aluminum particles rely on manually selecting elementary reactions, resulting in insufficient coverage of reaction pathways and a lack of identification of the generation and consumption pathways of key intermediates such as Al2O. Obtaining elementary reaction kinetic parameters through experimental methods is difficult, and the influence of gas-phase reactions and surface reactions is not fully coupled, leading to discrepancies between simulation results and experimental ignition delay patterns.
A molecular reaction dynamics-based approach was adopted to extract reaction paths through molecular dynamic trajectories of reaction force fields. Quantum chemical calculations and density functional calculations were combined to supplement key gas-phase and surface reaction parameters, construct a heterogeneous combustion dynamics mechanism, couple gas-phase and surface reactions, and establish a complete oxidative combustion model of nano-aluminum particles.
It enables a more complete description of the structural evolution process of aluminum nanoparticles from melting to oxidation, improves the physicochemical basis of mechanism parameters, reduces subjectivity, provides a repeatable modeling method, can accurately predict ignition delay and heat release, and supports combustion chamber design and fuel formulation optimization.
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