Experimental investigation of powder flow
This project aims to identify critical material attributes and process parameters and to understand flow behaviour of pharmaceutical powders during tablet manufacturing.
Start date
1 July 2022Duration
3 yearsApplication deadline
Funding source
A pharmaceutical companyFunding information
Tuition fees will be covered, plus a stipend of £15,285 per year.
Funding for this project is available to applicants of all nationalities, but the tuition fee is covered at the home student level.
Supervised by
About
This project aims to identify critical material attributes and critical process parameters for powder flow of pharmaceutical powders during tablet manufacturing. Specific tasks for this project include but not limited to undertake critical literature review to understand the background, the state-of-the-art and the challenges, and to identify the knowledge gap; to carry out experimental investigation to understand how cohesion and permeability of pharmaceutical formulations affect powder flow, and to explore the influence of powder properties and process conditions on powder flow behaviour during pharmaceutical tablet manufacturing.
Eligibility criteria
We are looking for a highly motivated candidate who holds a master degree or equivalent in Engineering, or a closely-related discipline, with a keen interest in particle technology and pharmaceutical engineering. The candidate should be a good team player and can engage in collaboration with good oral and written communication skills.
UK, EU and Overseas students are welcome to apply.
Language requirements:
IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.
How to apply
Applications should be sent through via the Chemical and Process Engineering PhD course page.
If interested, for the first instance, please send a copy of your CV, transcripts and personal statement to Prof. Charley Wu.
Chemical and Process Engineering PhD
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Research
Research group: Formulation and Product
Our aim is to develop science-based predictive models, design tools and innovative manufacturing processes for formulated products. This is underpinned by our active research in particulate materials manufacturing, multiphase flow, advanced numerical modelling using coupled discrete element methods with computational fluid dynamics (DEM-CFD) and finite element modelling (FEM), process modelling and optimisation, and measurements and characterisation using advanced techniques.
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