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Job Record #15641
TitleFully-Funded PhD: CFD of Batch Mixing in Viscous Fluids
CategoryPhD Studentship
EmployerUniversity of Manchester
LocationUnited Kingdom, Manchester
InternationalYes, international applications are welcome
Closure DateFriday, March 29, 2019
Description:
Please visit 'Vacancies' at www.ManchesterCFD.co.uk for more information.

============BRIEF INFORMATION===============

PROJECT TITLE: 
CFD simulation of batch mixing for the dispersion of viscous non-Newtonian 
fluids

FUNDING: 
3.5 years full funding (UK Standard rate) + Tuition Fees 

PROJECT 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.

REQUIREMENTS:
- EU/UK nationals only. 
- An undergraduate or Master’s degree in mathematics, physics or engineering 
background. Previous CFD experience and programming skills (FORTRAN and/or 
C++) are highly desirable.
Contact Information:
Please mention the CFD Jobs Database, record #15641 when responding to this ad.
NameDr Amir Keshmiri
Emaila.keshmiri@manchester.ac.uk
Email ApplicationYes
Phone+441613065752
URLhttp://www.ManchesterCFD.co.uk
AddressRoom C42, George Begg Building, School of Mechanical, Aerospace and Civil Engineering (MACE), The University of Manchester, M13 9PL, UK.
Record Data:
Last Modified12:51:38, Wednesday, February 06, 2019

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