Discrete computational modelling of twin screw granulation

Lead Research Organisation: University of Sheffield
Department Name: Chemical & Biological Engineering

Abstract

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Publications

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Ai Q (2018) Twin screw granulation: An evaluation of using micronized lactose as a solid binder in Chemical Engineering Research and Design

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AlAlaween W (2020) An interpretable fuzzy logic based data-driven model for the twin screw granulation process in Powder Technology

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AlAlaween WH (2018) Transparent predictive modelling of the twin screw granulation process using a compensated interval type-2 fuzzy system. in European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V

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Jiankai Yang (2019) Twin screw granulation of polymethylmethacrylate particles: a study of primary particle size

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Khorsheed B (2019) Twin-screw granulation: Understanding the mechanical properties from powder to tablets in Powder Technology

 
Description Sheffield-Purdue collaboration on granulation modelling 
Organisation Purdue University
Country United States 
Sector Academic/University 
PI Contribution We helped develop the framework for granulation compartment model and performed validation experiments in the laboratory at Sheffield.
Collaborator Contribution Through the grant, Professor Litster from Purdue University was a visiting research scientist at Sheffield to establish an ongoing collaboration. One of Professor Litster's PhD students, Nathan Davis, visited Sheffield for three months in October-December 2013 at Purdue's expense and continues to work with Sheffield staff on developing DEM models for granulation. Another Purdue student, Dan Pohlman, has implemented the model in the commercial software, gSOLIDS>
Impact Co-authored conference presentations and paper (see publication list) with further outputs to come. A new granulation model implemented in the commercial software, gSOLIDS.
Start Year 2013