@Article{AraújoMasVieGouPer:2022:LaScMe,
author = "Ara{\'u}jo, Emmanuel Peres de and Maschio, Leandro Jos{\'e} and
Vieira, Ricardo and Gouvea, Leonardo Henrique and Pereira, Luis
Gustavo Ferroni",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Tecnol{\'o}gico de
Aeron{\'a}utica (ITA)} and {Instituto Tecnol{\'o}gico de
Aeron{\'a}utica (ITA)}",
title = "Laboratory scale method for preparation of mixture modeled
composite fuels for hybrid propulsion",
journal = "Journal of Energetic Materials",
year = "2022",
volume = "40",
number = "4",
pages = "486--503",
month = "Oct.",
keywords = "Hybrid propulsion, polyethylene, paraffin, ammonium nitrate,
mixture modelling, preparation.",
abstract = "Fuel formulation is one of the chief strategies investigated in
hybrid propulsion studies. In this context,
polyethylenes-paraffins compositions have been suggested as a
trade-off solution to attain both mechanical quality and ballistic
performance. In parallel, mixed hybrids have already proven their
capacity to enhance regression rates of thermoset polymers in
mixture-modelled experiments. Ammonium perchlorate replacement by
ammonium nitrate could turn mixed hybrids into environmentally
benign materials. Meanwhile, the preparation of hybrid fuels based
on paraffins and thermoplastic polymers seems to lack an
application-oriented approach, capable to generate macroscopically
homogeneous and symmetrical samples, compatible with both
instrumental and ballistic measurements. Therefore, this work
successfully outlines a laboratory scale preparation method
developed to generate cylindrical composite fuel grains for hybrid
propulsion, comprising low-density polyethylene (LDPE),
macrocrystalline paraffin and ammonium nitrate mixture-modelled
formulations, as well as applies thermogravimetry and differential
scanning calorimetry to gain insight into their microstructural
aspects, particularly their miscibility and its relation to the
observed macroscopic behavior.",
doi = "10.1080/07370652.2021.1898491",
url = "http://dx.doi.org/10.1080/07370652.2021.1898491",
issn = "0737-0652",
language = "en",
targetfile = "07370652.2021.1898491.pdf",
urlaccessdate = "29 jun. 2024"
}