About the Project
The aim of this project is the design, model development, simulation and optimization of novel continuous crystallization processes that allows continuous and efficient separation of the conglomerate forming enantiomers. Various innovative process configurations in plug flow crystallizer will be investigated. A population balance based model coupled with mass and energy balance equations will be used in this purpose. A model based optimization framework will be developed to find optimum process variables such as feed rate, temperature profile and seed loading. Simulation and optimization of the process will be carried out using MATLAB computing software. This study will serve as the theoretical basis to design the novel crystallization process configurations and building experimental setup for continuous separation of enantiomers.
Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in Chemical Engineering or a similar discipline.
Knowledge or interest in process design, simulation and experience in computer programming (e.g., C/C++/FORTRAN) are highly expected
• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form
When applying please ensure all required documents are attached:
• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV
Informal inquiries can be made to Dr A Majumder ([email protected]), with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([email protected])
(2) A. Majumder and Z. K. Nagy. A comparative study of the coupled preferential crystallizers for the efficient resolution of conglomerate forming enantiomers. 2017, Pharmaceutics 9 (4), 55.
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