Particulate materials appear across the scales (nano to macro) and in many industrial applications, our daily life, as well as in nature. They come with different physical attributes (size, shape, and surface properties) among which morphology, while very challenging to characterize, presents very special importance in numerous applications. In particular, the morphology of nano-particles is known to significantly influence their mechanical, chemical, rheological, hydrological and electrical behaviour. For example, raw material used in battery storage systems is in particulate nature and their morphology characterisation can be correlated with battery performance, which will inform product development and ensure product quality.
However, their study was limited to 2D characterization, which has been demonstrated to underrepresent the shape indices of irregular particles, as a single image of a particle is dependent on the current, random particle orientation, and thus provides limited morphological information of the real, 3D morphology.
3D nano-scale shape characterization is challenging because of the limitation in measurement techniques and until recently the lack of openly available processing algorithms for the characterization of three-dimensional particles.
In this project, you will conduct a comprehensive analysis of morphology and size characterization of battery storage material based on 3D X-ray Nano-computed Tomography. Furthermore, the effect of recyclability on particle morphology and packing characteristics will be investigated. This study can be extended to the characterization of nanomaterials that exhibit discrete granular structures in different applications.
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