Al/CuO
reactive nanolaminate ignition was studied using temperature
jump (T-Jump) heating for rates greater than 105 K/s. Multilayer
samples were sputter deposited onto thin platinum filaments in alternating
layers of Al and CuO. The filaments were resistively heated in a time-of-flight
mass spectrometer (ToF-MS), while ignition and reaction were observed
with high-speed video. A total deposited thickness of 1800 nm was
maintained for all samples, while the number of bilayers was varied
from 1 to 12. Increasing this value decreased the diffusion distances
and increased the amount of interfacial area across which reaction
could occur, while keeping the overall energy of the system constant.
From 2 to 6 bilayers, the ignition temperature decreased from 1250
to 670 K and the overall reactivity increased. Past 6 bilayers, the
ignition temperature only decreased slightly and there was little
impact on the overall reactivity. This behavior is consistent with
a mass-transport model where the predominant diffusing species exhibits
a low activation energy (50 kJ/mol). Ignition temperature, which depends
upon bilayer thickness, is found to be a good predictor of flame speed.
A new expression is derived for interpreting differential scanning calorimetry curves for solidstate reactions with diffusion controlled kinetics. The new form yields an analytic expression for temperature at the maximum peak height that is similar to a Kissinger analysis, but that explicitly accounts for laminar, cylindrical and spherical multi-layer system geometries. This expression was used to analyze two reactive multi-layer nano-laminate systems, a Zr/CuO thermite and an Al-Ni aluminide, that include systematically varied layer thicknesses. This new analysis scales DSC peak temperatures against sample geometry, which leads to geometry-independent inherent activation energies and prefactors. For the Zr-CuO system, the DSC data scales with the square of the bi-layer thickness, while for the Ni-Al system the DSC data scales with the thickness. This suggests distinct reaction mechanims between these systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations –citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.