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PhD Studentship: CFD Simulation of Batch Mixing for the Dispersion of Viscous Non-Newtonian Fluids

The University of Manchester

Qualification Type: PhD
Location: Manchester
Funding for: UK Students, EU Students
Funding amount: Covers fees and stipend
Hours: Full Time
Placed On: 30th March 2019
Closes: 16th June 2019
 

Lead Supervisor: Dr Amir Keshmiri
Co-Supervisor(s): Dr Robert Prosser
Programme: PhD in Mechanical Engineering
Area(s) of expertise: Thermofluids

Description

Complex (structured) fluids are part of the UK’s £160Bn manufacturing portfolio, contributing principally through Fast Moving Consumer Goods (FMCG) such as shampoo or ice cream. The term complex fluid generally refers to non-Newtonian behaviour; such fluids exhibit a nonlinear response to imposed strain rate and to strain. Typical examples include emulsions (found in, say, mayonnaise) and visco-elastic fluids (e.g. high internal phase emulsions or surfactant stabilised aqueous foams). Reducing new product development time is essential to maintain competitiveness and, as structured fluids do not obey classical scaling laws, their manufacture requires greater input from modelling and simulation.

This project will develop novel methods to simulate the dispersion of very viscous substances such as SLES and polymer solutions into relatively thinner continuous phase fluids; the flow geometries considered will be static, batch and high shear mixers, with the latter applications requiring sliding meshes and high performance computing. The aim of the project is to accelerate new product roll out by (for example) anticipating manufacturing problems for new materials or by developing robust (and, ideally, scalable) manufacturing processes.

The PhD student on this project will join the ManchesterCFD research team (www.ManchesterCFD.co.uk) and will benefit from world-class research facilities at the University of Manchester. This project also benefits with direct collaboration with industrial partners.

Skills required

Entry requirements can be found by selecting the relevant PhD programme at this link:

https://www.mace.manchester.ac.uk/study/postgraduate-research/research-programmes/

An undergraduate or Master’s degree in mathematics, physics or an engineering background is essential. Previous CFD experience and programming skills (FORTRAN and/or C++) are highly desirable. 

Industrial Links

Funding for this project is offered through The Centre in Advanced Fluid Engineering for Digital Manufacturing (https://www.cafe4dm.manchester.ac.uk/) to support a PhD starting in September/October 2019. The duration of the studentship is for 3.5 years and will cover both Home/EU tuition fees and a stipend to cover living costs at the RCUK-standard rate.

Further information about how to apply can be found at:

https://www.mace.manchester.ac.uk/study/postgraduate-research/how-to-apply/

General enquiries relating to the postgraduate application process within the School of Mechanical, Aerospace & Civil Engineering should be directed to:

Martin Lockey, Senior PG Recruitment & Admissions Administrator (E-mail: martin.lockey@manchester.ac.uk, Tel: +44(0)161 275 4345)

Contact for project specific enquiries:
Dr Amir Keshmiri (E-mail: a.keshmiri@manchester.ac.uk, Tel: +44 (0) 161 3065752)

   
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