Aluminum Agglomeration Model Calibration with Improved Experimental Data

摘要

This work considers the calibration of Jackson et al.'s recent agglomeration model A. The goal was to bring new information for calibrating the used-prescribed separation parameter S_d. Four industrial propellants are considered and packed using classical packing algorithms. The agglomeration model is then used, and an optimization is performed to calibrate a best-fit S_d. The obtained agglomeration mean diameter and distribution from the model are found to be rather close to the experimental data. The experimental data used were carefully selected, and a refined data-reduction procedure was proposed, which included log-normal mode extraction and combustion correction. The results indicate that S_d can be assumed to equal the aluminum mean diameter. Further studies will be needed to derive a general expression for S_d, which includes an explicit dependence on pressure and ammonium perchlorate size.