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Details of Grant 

EPSRC Reference: GR/M15019/01
Title: QUALITY IN PARTICULATE-BASED MANUFACTURING
Principal Investigator: Tuzun, Professor U
Other Investigators:
Biggs, Professor MJ
Researcher Co-Investigators:
Project Partners:
Borax Brise Group GEI Ashford
GlaxoSmithKline plc (GSK) Morgan Matroc Munters Ltd
Tate and Lyle Unilever
Department: Engineering and Physical Sciences
Organisation: University of Surrey
Scheme: Standard Research (Pre-FEC)
Starts: 01 August 1998 Ends: 31 December 2002 Value (£): 385,800
EPSRC Research Topic Classifications:
Particle Technology
EPSRC Industrial Sector Classifications:
Manufacturing Chemicals
Pharmaceuticals and Biotechnology Energy
Related Grants:
GR/M15057/01
Panel History:  
Summary on Grant Application Form
More than a third of all UK process plants involve the handling and /or processing of polydisperse particulate solids. Despite significant past effort to research aspects of particulate based manufacturing and handling processes, numerous industrial problems still exist arising from a lack of operational reliability coupled with variable product quality. These problems typically arise form one or more of segregation (particle size and bled components), caking (lump formation preventing free flow) and degradation (particle breakage).The failure to provide a comprehensive resolution of the above problems is not a criticism of the existing research (as it has usually focused on specific phenomena), but is due to the lack of an integrated holistic strategy which embeds the tolls and techniques derived from the research in an engineering framework. The aim of this proposal is to implement just such a strategy for the design and optimisation of particulate based process plants, which will significantly improve the competitiveness of the UK industries involved. This key project objective will be achieve by delivering for commercial exploitation by industry a packaged strategy comprising novel polydisperse material characterisation tools, a generic code of operational practice based on material characterisation and intelligent process design and modelling software.
Key Findings
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Organisation Website: http://www.surrey.ac.uk