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Integrated Experimental–Numerical Analysis of HTPB Propellant Casting Optimization and Droplet Dynamics

Authors: Zhiming Guo; Riccardo Rossi; Yutao Xue; Yuheng Wu; Xiaolong Fu;

Integrated Experimental–Numerical Analysis of HTPB Propellant Casting Optimization and Droplet Dynamics

Abstract

The rheological properties of the propellant slurry and droplet dynamics during the casting process play a critical role in the manufacturing of propellants. This study systematically investigated the rheological characteristics of a hydroxyl-terminated polybutadiene (HTPB)-based composite solid propellant slurry and optimized the vacuum casting process through integrated experimental and numerical simulation approaches. Rheological tests revealed shear-thinning behavior, with the Herschel–Bulkley model parameters confirming non-Newtonian fluid characteristics. The addition of coarse ammonium perchlorate (AP) particles caused the slurry viscosity to peak at 41 Pa·s, stabilizing at 17 Pa·s after mechanical mixing. A real-time monitoring system combining machine vision and Kalman filtering demonstrated that increasing the vacuum pressure from 10 to 14 psi enhanced the casting efficiency but reduced the dynamic range of droplet impact forces. Numerical simulations validated experimental data, with a casting time deviation of 6.16%–11.07%. The study confirmed that vacuum pressure regulation optimizes process parameters by balancing casting efficiency and impact forces, providing critical theoretical support for propellant defect control and casting process optimization.

Keywords

Chemistry, Fluids, Viscosity, Vaccuum, Liquids, Casting processes, Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures, QD1-999, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold