Chapelle, Pierre, Abou-Chakra, Hadi, Christakis, Nicholas, Patel, Mayur, Abu-Nahar, Azlina, Tüzün, Ugur and Cross, Mark (2004) Computational model for prediction of particle degradation during dilute phase pneumatic conveying: the use of a laboratory scale degradation tester for the determination of degradation propensity. Advanced Powder Technology, 15 (1). pp. 13-29. ISSN 0921-8831 (doi:https://doi.org/10.1163/15685520460740043)

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Abstract

The overall objective of this work is to develop a computational model of particle degradation during dilute-phasepneumatic 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 particle velocities and particle sizes. It is based on interpolation on impact data obtained in a new laboratory-scale degradation tester. The method is tested and validated against experimental results for degradation at 90± impact angle of a full-size distribution sample of granulated sugar. In a subsequent work, the calculation of
degradation propensity is coupled with a ow model of the solids and gas phases in the pipeline.

Item Type:	Article
Uncontrolled Keywords:	dilute phase pneumatic conveying, impact, degradation tester, breakage matrix
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery Q Science > QA Mathematics
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher
Last Modified:	14 Oct 2016 09:01
URI:	http://gala.gre.ac.uk/id/eprint/797

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