Imperial College London
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Dr Joshua N. Rasera

Faculty of Engineering, Department of Earth Science & Engineering

Research Associate
 
 
 
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j.rasera

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rasera:2023:10.1016/j.powtec.2022.118035,
author = {Rasera, JN and Cilliers, JJ and Lamamy, J-A and Hadler, K},
doi = {10.1016/j.powtec.2022.118035},
journal = {Powder Technology},
pages = {1--14},
title = {A methodology for tribocharger design optimisation using the Discrete Element Method (DEM)},
url = {http://dx.doi.org/10.1016/j.powtec.2022.118035},
volume = {413},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Tribocharger design optimisations presented in the literature are based typically on experimental investigations. While this approach is useful and necessary to evaluate the performance of a design, experimental investigations are limited to studying a finite matrix of parameters. Computational approaches, such as the discrete element method (DEM), offer greater flexibility, however they have not been used previously for tribocharger design optimisation. This work presents a novel approach using the DEM to study the effect of different tribocharger designs on the charging process using particle–wall and particle–particle contact areas as proxies for charge transfer. The bulk sample charge output from the model are compared with bulk charges measured experimentally, showing good agreement. Furthermore, a method to predict approximately the charging behaviour of complex mixtures from linear combinations of the simulation outputs of single species, single size particle samples is presented, demonstrating good agreement.
AU  - Rasera,JN
AU  - Cilliers,JJ
AU  - Lamamy,J-A
AU  - Hadler,K
DO  - 10.1016/j.powtec.2022.118035
EP  - 14
PY  - 2023///
SN  - 0032-5910
SP  - 1
TI  - A methodology for tribocharger design optimisation using the Discrete Element Method (DEM)
T2  - Powder Technology
UR  - http://dx.doi.org/10.1016/j.powtec.2022.118035
UR  - https://www.sciencedirect.com/science/article/pii/S0032591022009160?via%3Dihub
UR  - http://hdl.handle.net/10044/1/100653
VL  - 413
ER  -
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