Mayur K. Patel

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—The overall objective of this work is to develop a computational model of particle degradation during dilute-phase pneumatic conveying. A key feature of such a model is the prediction of particle breakage due to particle–wall collisions in pipeline bends. This paper presents a method for calculating particle impact degradation propensity under a range of(More)
—A complete model of particle impact degradation during dilute-phase pneumatic conveying is developed, which combines a degradation model, based on the experimental determination of breakage matrices, and a physical model of solids and gas ow in the pipeline. The solids ow in a straight pipe element is represented by a model consisting of two zones: a(More)
We demonstrate a "collection development decision support tool" that mines digital archive usage data. We want to better understand the University of Southern California (USC) Digital Archive's collection structure by analyzing the objects' characteristics, by analyzing the relationships between viewed objects, and by understanding usage trends over time.(More)
In this paper, the framework is described for the modelling of granu-lar material by employing Computational Fluid Dynamics (CFD). This is achieved through the use and implementation in the continuum theory of con-stitutive relations, which are derived in a granular dynamics framework and parametrise particle interactions that occur at the micro-scale(More)
In this paper, a Computational Fluid Dynamics framework is presented for the modelling of key processes which involve granular material (i.e. segregation, degradation, caking). Appropriate physical models and sophisticated algorithms have been developed for the correct representation of the different material components in a granular mixture. The various(More)
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