Self optimisation of continuous crystallisers

Lead Research Organisation: University of Leeds
Department Name: Chemical and Process Engineering


The aim of the project is to develop appropriate methodologies for model-free control of continuous crystallization process for the enhancement of polymorphic selectivity through the use of in-line Raman spectroscopy and self-optimization

1. Develop a model reactor for crystallisation under flow
2. Link with the Raman system to be delivered as part of Flow-XL (Meldrum, Kapur EPSRC Funded)
3. Develop a algorithmic approach for selection of morphologies and optimisation of flow based processes

The project addresses a long-standing issue over the creation of crystallised products with controlled properties. Consistent properties are important within the manufacturing process (materials are often filtered and re-dissolved multiple times during separation and purification) and in the final product where the functionality depends on habit and size. Consequently, ensuring material remains within specification is strongly tied to the efficiency of the process - out-of-spec material carries embedded carbon in its production that grows throughout the manufacturing process and must be avoided to ensure processes remain viable from an environmental economic perspective. The form of crystallised products can also affect their efficacy (and in some cases the toxicity) - hence control is vital in providing safe medicines in the case of pharmaceuticals and safe agro-products in the case of agrochemicals.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022473/1 01/04/2019 30/09/2027
2273601 Studentship EP/S022473/1 01/10/2019 30/09/2023 Raphael Stone