Towards Advanced in Situ Measurements of Complex Rheological Properties in Manufacturing Processes - identification of a "finger print" of a fluid

Lead Research Organisation: University of Birmingham
Department Name: Chemical Engineering

Abstract

New Product Developments (NPD) is an ongoing activity involving frequent new and improved products being transferred from laboratory scale development to manufacturing at "tonne scale". Traditional approaches to NPD focus the attention at laboratory scale with little or no attention to a formulation's "manufacturability". These issues are typically only addressed during scale up, at pilot scale and are often not fully resolved when the product goes to manufacturing scale. Such an approach to scale up also involves compromises. These result in not only longer and costlier scale up but also frequently increased production costs. These critical challenges also limit industry's ability to achieve more efficient and flexible processes. A way to deal with these challenges with a different approach is to improve the capabilities in terms of in situ measurements. Complex rheological characterisation is one of the most desired measurement in industry, being most of micro and macro structure of formulated products strongly related to their rheological properties. Currently, there are limited options available in the market shelf. The desired specifics, for such measurement tool, are the possibility of real time and non-intrusive measurements. The characterisation of complex rheology must not be confused with a simple viscosity measurement. In fact, most of the online or in situ rheological measurement available in the market can only describe the viscosity of a fluid at fix shear rate (viscometer). As it is well known, most of complex rheology presents a non-linear relationship between the shear rate and the shear stress. This is why viscometer measurements cannot be reliable for the characterisation of complex fluid rheology. Much more reliable, off line measurements, such cone and plate rheometer, are used to acquire a detailed flow ramp (shear Rate vs shear Stress curve). However, the drawbacks are time scale of measurement (~10 minutes) which is far from the desired one (~1 s) and being off line.
The project aims to fulfil the gap that exists in the literature trying to understand more deeply the link between fluid flow and complex rheology. The challenge is to determine the "finger print" of a fluid rheology from its developed flow features achieved flowing in designed obstructions. The first objective is to link rheology properties to flow properties; understanding flow development from steady pipe flow to perturbed flow due to obstacles and this will be mainly done using PIV (Particle Image Velocimetry). Secondly, understanding the effect of adding a peristaltic flow to the system and verifying its effect on fluid flow developments. The other part of the project is to link all information to models using statistical or analytical approach.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509590/1 01/10/2016 30/09/2021
2112012 Studentship EP/N509590/1 01/10/2018 30/06/2022 Daniel Hefft
EP/R513167/1 01/10/2018 30/09/2023
2112012 Studentship EP/R513167/1 01/10/2018 30/06/2022 Daniel Hefft
 
Description A novel technology based on a sensor and mechanical pipe design that can track fluid changes live and in situ.
Exploitation Route Implementation into factories, future research projects.
Sectors Agriculture, Food and Drink,Chemicals,Environment,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology

 
Description ICURe
Amount £30,000 (GBP)
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 06/2019 
End 09/2019
 
Title IDENTIFYING LIQUID RHEOLOGICAL PROPERTIES FROM ACOUSTIC SIGNALS 
Description The disclosure relates to methods and apparatus for identifying rheological properties of liquids from acoustic signals generated by liquid flow through a pipe. Example embodiments include a method of identifying a rheological property of a liquid flowing in a pipe (101), the method comprising: detecting an acoustic signal generated by the liquid flowing in the pipe using a sensor (105) attached to a rod (104) extending from a wall of the pipe (101) into the liquid; sampling the acoustic signal to provide a sampled acoustic signal; transforming the sampled acoustic signal to generate a sampled frequency spectrum; correlating the sampled frequency spectrum with a stored frequency spectrum from a database of stored frequency spectra of liquids having predetermined rheological properties; and identifying a rheological property of the liquid based on the stored frequency spectrum. 
IP Reference WO2020260889 
Protection Patent application published
Year Protection Granted 2020
Licensed Commercial In Confidence
Impact Spin out
 
Company Name RHEALITY LTD 
Description We have developed a Machine Learning enabled technology to measure the rheology of fluids in real-time during production. Rheality (TM) is a non-destructive monitoring system that allows live and in situ rheology measurements during production runs (batch and continuous), helping to prevent production losses and to increase process efficiency. Our international patent pending system is based on proprietary computer algorithms and machine learning networks, falling in trend with emerging Industry 4.0 solutions. 
Year Established 2020 
Impact subcontracting wife of Grant PI, subcontracting of former EngD student of UoB, subcontracting of a CEO, Grant applications for company, not above grant.
Website https://www.rheality.co/