In silico evaluation of manufacturing concepts for non-Newtonian products

Lead Research Organisation: University of Manchester
Department Name: Mechanical Aerospace and Civil Eng

Abstract

The main aim of the work is to establish the optimal geometric configuration for a particular configuration of process mixer
(a Controlled Deformation Dynamic Mixer (CDDM)). The project will seek to understand the unique flow dynamics found
inside the mixer itself and, through that understanding, improve the quality of the mixture that the device produces. At the
same time, the work will establish changes to the mixer geometry such that the overall mixture is improved, while
simultaneously reducing the power required. The analysis of the mixer is made more complex because the flow within is
typically non-Newtonian, and demonstrates a viscosity that is dependent (in the first instance) on the shear rate and (in the
second instance) on the processing history of the fluid itself. The physics of the process material, coupled with the
competing influences of high angular velocities (the mixer typically runs at approximately 50000rpm), high pressure drops
and extremely small flow geometries preclude easy characterisation of the flow. In addition, the channels through the mixer
are sinuous and change with the mixer rotor position. In the light of these, the flow will be studied initially in the laminar
flow mode and static configuration; as understanding develops, increasingly complex dynamics will be introduced---either
through the mixer motion itself, through the action of the viscosity, through turbulent flow physics or some combination of all
three. The work is of considerable interest to the academic partner, as the evolving rheology represents an application of
multiphysics; it couples together CFD, rheology and (in the longer term) meso-scale modelling. The wider goal of the
project is to accelerate the introduction of new & better products into the market by the simulation of manufacturing
processes for complex multiphase liquid products for fast moving consumer goods (FMCG), and unifies computational fluid
dynamics (CFD), rapid prototyping (RP) and experimental evaluation.

Planned Impact

The work will increase the competitiveness of the UK by improving innovation and introducing shorter channels between
supply and demand. The work is estimated to have economic benefits of the order of £15-30M to the UK and to Europe.
The strategic goal of the project is directed towards on-site manufacture and distribution, which will also impact directly on
the general public through increased consumer choice and a more attractive pricing structure. In addition, by reducing the
length of the supply chain, the work will have an indirect effect on the quality of UK life. This will be achieved by the
reduction in carbon footprint resulting from reduced storage and -particularly-from reduced domestic transportation of end
product.
Outside of the fast moving consumer goods envisage by the industrial partners, mixing is ubiquitous in many industries,
and the energy costs of mixing is increasingly studied (see, for example
http://www.grundfos.com/content/dam/Global%20Site/Industries%20%26%20solutions/waterutility/pdf/Energy_saving_potential_for_mixing_of_horizontal_flow_systems.pdf, http://mixing14.eu/p/mixing14eu_35.pdf or
http://www.chopperpumps.com/pdfs/brochure_rotamix.pdf for examples of how CFD and experiment are increasingly used
to reduce energy costs associated with mixing). Through CDDMtec, this project has a natural conduit to other industries
where mixer design development-refined by the work undertaken here- will be able to contribute to the overall reduction in
mixer power costs.
In terms of wider public engagement, non-Newtonian flows are of considerable general interest; blood flow is an important
application (see, for example
http://www2.imperial.ac.uk/ssherw/physflow/pfn/Meetings/Edinburgh/Presentations/Ieuan%20Owen.pdf). Also, there are
well known examples (such as the corn starch and water mixture commonly referred to as 'Oobleck') which provide an
excellent introduction to aspects of fluid dynamics for young scholars or the interested public (examples for the non expert
audience can be found, for example, at http://www.sciencelearn.org.nz/Science-Stories/Strange-Liquids/Non-Newtonianfluids).
We anticipate providing a number of examples of non-Newtonian flows (both simulated and experimental - refer to
the pathways to impact document), through which we will demonstrate the importance of the work to the wider audience.
 
Description The principle output thus far has been the application of Computational Fluid Dynamics with moving meshes to simulate high speed rotating mixer applications. These mixers have complex internal geometry, mixed turbulent and laminar flow modes, and non-Newtonian rheology. The rheology refers particularly to the viscous behaviour of the fluid emulsions typically encountered (i.e. paint, or mayonnaise). Through our work on population balance modelling, we have shed light on the detailed fluid mechanics undergone within core design mixers, and have looked at the important issue of scaling; this is a problem unique to complex rheologies, where the (normally) universal scaling rules linking laboratory scale (where new products are developed) to industrial scale processes (where new products are manufactured) are no longer valid. We have identified key bottlenecks in the simulation of structured fluids, and started on more complex visco-elastic fluids.
Exploitation Route Although originally developed for personal care products, mixers are ubiquitous throughout the process engineering and manufacturing sectors. Any industry within these areas could potentially benefit from the work undertaken here.
Sectors Agriculture, Food and Drink,Chemicals,Digital/Communication/Information Technologies (including Software),Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology

 
Description This project developed and applied computational models to the simulation and validation of so-called structured fluids during industrial processing. Constitutive models and techniques were developed for: (1) Relatively simple fluids in complex rotating geometries (e.g. backflushing in high shear mixers). (2) More complex structured fluids, particularly emulsions (for example, mayonnaise and sauces) and micellar systems (i.e. shampoos). These have been simulated in high shear rotary and static mixers where turbulence, cavitation and other physical processes simultaneously take place. The outputs of these models predominantly take the form of scaling rules, mixing times, power consumption and other process-relevant quantities such as pressure drop. Both the specific outputs and the capabilities themselves have been taken up by a number of industrial collaborators and incorporated into their workflows. The ability of Computational Fluid Dynamics to complement experimental characterisation of industrial mixers has thus been demonstrated. The capabilities demonstrated in this project are now being taken up by other industrial partners, through follow up grants in the UK (CAFE4DM) and the EU (VIMMP). The capability is also being extended to other classes of constitutive behaviour, such as nematodynamic (liquid crystal) flows.
First Year Of Impact 2017
Sector Agriculture, Food and Drink,Manufacturing, including Industrial Biotechology
Impact Types Economic

 
Description CFD simulation of in-line high speed Rotor stator mixer incorporating an evolving rheology
Amount £234,000 (GBP)
Organisation Unilever 
Department Unilever UK R&D Centre Port Sunlight
Sector Private
Country United Kingdom
Start 05/2016 
End 04/2018
 
Description Magnetic Bead Mixing Evaluation
Amount £62,249 (GBP)
Funding ID IAA 159 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2017 
End 06/2017
 
Description Parametric sonolator simulation
Amount £32,000 (GBP)
Organisation Unilever 
Department Unilever UK R&D Centre Port Sunlight
Sector Private
Country United Kingdom
Start 06/2016 
End 09/2016
 
Description Silverson mixer simulation
Amount £29,000 (GBP)
Organisation Unilever 
Department Unilever UK R&D Centre Port Sunlight
Sector Private
Country United Kingdom
Start 05/2016 
End 08/2016
 
Description The Centre in Advanced Fluid Engineering for Digital Manufacturing (CAFE4DM)
Amount £3,097,928 (GBP)
Funding ID EP/R00482X/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2022
 
Description Virtual Materials Market Place
Amount € 9,458,651 (EUR)
Funding ID DLV-760907 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 11/2017 
End 10/2021
 
Description population balance methods for emulsion simulation
Amount £80,000 (GBP)
Organisation Unilever 
Department Unilever UK R&D Centre Port Sunlight
Sector Private
Country United Kingdom
Start 04/2017 
End 11/2017
 
Description CAFE4DM 
Organisation Science and Technologies Facilities Council (STFC)
Country United Kingdom 
Sector Public 
PI Contribution My Group's contribution will be to develop and incorporate viscoelastic constitutive equations into open source Computational Fluid Dynamics (CFD) software.
Collaborator Contribution The University of Manchester has a number of groups working on this collaboration. The school of Chemical Engineering and Analytical Sciences (CEAS) will be: (1) Performing mesoscopic simulations of discrete systems to predict emergent rheology from (for example) wormlike micellar systems (Carbone, Masters); (2) CEAS will work with the school of Mechanical, aerospace and Civil Engineering (MACE) to link macroscopic CFD simulations to process analytics, thereby provide industrial scale validation and control of structured fluid processing (Martin); (3) CEAS also will develop structure property relationships VIA NMR, X-ray and Neutron Scattering to inform the development of the mesoscale modelling component (Hardacre) and the development of the constitutive equations themselves (Cates, University of Cambridge). The Manchester Business school will work on innovation management, identifying the determining factors required to drive behavioural change and the adoption of the results / technologies emerging from the CAFE4DM project.
Impact No outputs have yet been reported
Start Year 2017
 
Description CAFE4DM 
Organisation Unilever
Department Unilever UK R&D Centre Port Sunlight
Country United Kingdom 
Sector Private 
PI Contribution My Group's contribution will be to develop and incorporate viscoelastic constitutive equations into open source Computational Fluid Dynamics (CFD) software.
Collaborator Contribution The University of Manchester has a number of groups working on this collaboration. The school of Chemical Engineering and Analytical Sciences (CEAS) will be: (1) Performing mesoscopic simulations of discrete systems to predict emergent rheology from (for example) wormlike micellar systems (Carbone, Masters); (2) CEAS will work with the school of Mechanical, aerospace and Civil Engineering (MACE) to link macroscopic CFD simulations to process analytics, thereby provide industrial scale validation and control of structured fluid processing (Martin); (3) CEAS also will develop structure property relationships VIA NMR, X-ray and Neutron Scattering to inform the development of the mesoscale modelling component (Hardacre) and the development of the constitutive equations themselves (Cates, University of Cambridge). The Manchester Business school will work on innovation management, identifying the determining factors required to drive behavioural change and the adoption of the results / technologies emerging from the CAFE4DM project.
Impact No outputs have yet been reported
Start Year 2017
 
Description CAFE4DM 
Organisation University of Cambridge
Department Department of Pure Mathematics and Mathematical Statistics
Country United Kingdom 
Sector Academic/University 
PI Contribution My Group's contribution will be to develop and incorporate viscoelastic constitutive equations into open source Computational Fluid Dynamics (CFD) software.
Collaborator Contribution The University of Manchester has a number of groups working on this collaboration. The school of Chemical Engineering and Analytical Sciences (CEAS) will be: (1) Performing mesoscopic simulations of discrete systems to predict emergent rheology from (for example) wormlike micellar systems (Carbone, Masters); (2) CEAS will work with the school of Mechanical, aerospace and Civil Engineering (MACE) to link macroscopic CFD simulations to process analytics, thereby provide industrial scale validation and control of structured fluid processing (Martin); (3) CEAS also will develop structure property relationships VIA NMR, X-ray and Neutron Scattering to inform the development of the mesoscale modelling component (Hardacre) and the development of the constitutive equations themselves (Cates, University of Cambridge). The Manchester Business school will work on innovation management, identifying the determining factors required to drive behavioural change and the adoption of the results / technologies emerging from the CAFE4DM project.
Impact No outputs have yet been reported
Start Year 2017
 
Title coupled rheological models for fluid flow and materials processing 
Description Subroutines have been developed for: (1) the solution of population balance coupled with constitutive equations and fluid flow simulation for both low and high internal phase emulsions: (2) A continuum damage like treatment for the coupled evolution of structured liquids and processing. These models have been implemented in the open software CFD package CODE-SATURNE 
Type Of Technology Software 
Year Produced 2017 
Impact These subroutines are very recent, and are not yet widely used in the structured fluids processing community.