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Flow characteristics simulation and parameter optimization of hydroxyl-terminated polybutadiene (HTPB) propellants resonant acoustic mixing
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DOI:10.1016/j.cjche.2026.02.016.png)
Abstract
En 中文
To investigate the material flow characteristics of HTPB propellants slurry during the acoustic resonance mixing process and optimize process parameters, rheological experiments are first conducted to determine the best-fit non-Newtonian rheological equation for the HTPB propellants slurry. A volume of fluid (VOF)–discrete phase model (DPM) flow model is then established, combining experimental and numerical simulation methods. The flow characteristic of slurry under vibration conditions is solved by VOF model, while the migration process of propellants slurry micro-elements is tracked by DPM model. The reliability of numerical model is verified qualitatively and quantitatively through visualization of the propellants slurry flow state and pressure time series test experiment. By analyzing Poincare section and separation scale of propellants slurry mixing process, combined with pressure time series chaotic analysis, the resonant acoustic mixing process of propellants slurry is optimized, and the optimal mixing parameters are obtained. Density deviation of the slurry at different locations under different working conditions is calculated and a predictive relationship between separation scale and density deviation is established, verifying the accuracy of the optimized process parameters. Mixing power consumption under different operating conditions is also taken into account. The results show that for the HTPB propellants with 77% solid content, the experimental and simulated material flow conditions are in good agreement. The optimal acceleration is 50g, the packing rate is 60%, the vacuum degree is 9 kPa, and the density deviation of the mixed sample could be as low as 0.44%, which meets the process requirements.
Keywords:
HTPB propellants
acoustic resonance mixing
flow characteristics
numerical simulation
parameter optimization
Journal
IF:
3.7
Papers:
5.1K
Citations:
1.1W
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