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Title: High-Fidelity Microstructural Characterization and Performance Modeling of Aluminized Composite Propellant

Image processing and stereological techniques were used to characterize the heterogeneity of composite propellant and inform a predictive burn rate model. Composite propellant samples made up of ammonium perchlorate (AP), hydroxyl-terminated polybutadiene (HTPB), and aluminum (Al) were faced with an ion mill and imaged with a scanning electron microscope (SEM) and x-ray tomography (micro-CT). Properties of both the bulk and individual components of the composite propellant were determined from a variety of image processing tools. An algebraic model, based on the improved Beckstead-Derr-Price model developed by Cohen and Strand, was used to predict the steady-state burning of the aluminized composite propellant. In the presented model the presence of aluminum particles within the propellant was introduced. The thermal effects of aluminum particles are accounted for at the solid-gas propellant surface interface and aluminum combustion is considered in the gas phase using a single global reaction. In conclusion, properties derived from image processing were used directly as model inputs, leading to a sample-specific predictive combustion model.
Authors:
 [1] ;  [2] ;  [1]
  1. Rensselaer Polytechnic Institute, Troy, NY (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Report Number(s):
SAND-2017-12589J
Journal ID: ISSN 0721-3115; 658869; TRN: US1800205
Grant/Contract Number:
AC04-94AL85000; NA0003525
Type:
Accepted Manuscript
Journal Name:
Propellants, Explosives, Pyrotechnics
Additional Journal Information:
Journal Volume: 42; Journal Issue: 12; Journal ID: ISSN 0721-3115
Publisher:
Wiley
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Image Processing; Stereology; Point-Sampled Intercept; Composite Solid Propellants; Combustion Modeling
OSTI Identifier:
1411233
Alternate Identifier(s):
OSTI ID: 1405198

Kosiba, Graham D., Wixom, Ryan R., and Oehlschlaeger, Matthew A.. High-Fidelity Microstructural Characterization and Performance Modeling of Aluminized Composite Propellant. United States: N. p., Web. doi:10.1002/prep.201700124.
Kosiba, Graham D., Wixom, Ryan R., & Oehlschlaeger, Matthew A.. High-Fidelity Microstructural Characterization and Performance Modeling of Aluminized Composite Propellant. United States. doi:10.1002/prep.201700124.
Kosiba, Graham D., Wixom, Ryan R., and Oehlschlaeger, Matthew A.. 2017. "High-Fidelity Microstructural Characterization and Performance Modeling of Aluminized Composite Propellant". United States. doi:10.1002/prep.201700124. https://www.osti.gov/servlets/purl/1411233.
@article{osti_1411233,
title = {High-Fidelity Microstructural Characterization and Performance Modeling of Aluminized Composite Propellant},
author = {Kosiba, Graham D. and Wixom, Ryan R. and Oehlschlaeger, Matthew A.},
abstractNote = {Image processing and stereological techniques were used to characterize the heterogeneity of composite propellant and inform a predictive burn rate model. Composite propellant samples made up of ammonium perchlorate (AP), hydroxyl-terminated polybutadiene (HTPB), and aluminum (Al) were faced with an ion mill and imaged with a scanning electron microscope (SEM) and x-ray tomography (micro-CT). Properties of both the bulk and individual components of the composite propellant were determined from a variety of image processing tools. An algebraic model, based on the improved Beckstead-Derr-Price model developed by Cohen and Strand, was used to predict the steady-state burning of the aluminized composite propellant. In the presented model the presence of aluminum particles within the propellant was introduced. The thermal effects of aluminum particles are accounted for at the solid-gas propellant surface interface and aluminum combustion is considered in the gas phase using a single global reaction. In conclusion, properties derived from image processing were used directly as model inputs, leading to a sample-specific predictive combustion model.},
doi = {10.1002/prep.201700124},
journal = {Propellants, Explosives, Pyrotechnics},
number = 12,
volume = 42,
place = {United States},
year = {2017},
month = {10}
}