Mechano-chemical activation is fundamentally different than chemical activation
in that energy is added to alter the state of bond energy instead of exciting electrons to
produce a chemical reaction. Mechano-chemical activation has demonstrated to alter the
chemical reaction and rates. There remains no development of a model to quantify the
changes in reactions due to mechano-chemical activation.
This research aims in expanding our understanding of the influence of mechanochemical
activation methods. The dynamics and kinetics of mechano-chemically
activated surfaces will be studied using x-ray spectroscopy methods. Mechano-chemical
interactions can be quantified through the study of electron energies.
X-ray spectroscopy is a useful method of analyzing and quantifying electron
energy states. X-ray absorbance is used to study the valence state electron shells of iron
undergone activation through sliding friction of naturally produced wax. In-situ x-ray
photoemission spectroscopy is employed to instantaneously characterize single crystal
tantalum samples of each principal crystallographic orientation during oxidation.
Sliding friction of the naturally produced wax resulted in a reduction in the
binding energy of the iron 2p electrons by approximately one electron-volt. This
reduction in binding energy is attributed to ferrocene which is an organo-metallic alloy,
Fe(C5H5)2.
Mechanical strain of the crystal lattices of tantalum resulted in altered activation
energies. Activation energy increased with the application of lattice strain. At increasing
strain, oxide properties become more dependent on the lattice strain than the crystal
orientation and temperature. A model system is developed incorporating mechanical
strain into the prediction of activation energy and rates.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2011-08-10138 |
| Date | 2011 August 1900 |
| Creators | Cooper, Rodrigo |
| Contributors | Liang, Hong |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | thesis, text |
| Format | application/pdf |
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