EPSRC Reference: |
GR/K56131/01 |
Title: |
CONTROL OF MULTIPHASE PROCESSES USING TOMOGRAPHIC IMAGES |
Principal Investigator: |
Simons, Professor SJR |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Chemical Engineering |
Organisation: |
UCL |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 February 1996 |
Ends: |
31 October 1999 |
Value (£): |
177,303
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EPSRC Research Topic Classifications: |
Complex fluids & soft solids |
Control Engineering |
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EPSRC Industrial Sector Classifications: |
Pharmaceuticals and Biotechnology |
Energy |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The scope of this project is focused on the statistical treatment of process tomographic images, with the specific aim of enabling rapid and reliable data extraction for process control purposes. It is intended to show that untreated data will cause instabilities in control loop responses due to the dynamic nature of the processes being monitored and the noise artefacts inherent in the image reconstruction procedures. A statistical approach, based on principal component analysis, will therefore be used to identify the most useful trends in the multivariate images which can be exploited by control systems. A noise factor will be determined experimentally for both electrical resistance and X-ray tomographic images. A full control strategy will then be developed on a specific process application, namely solid/liquid mixing, to demonstrate the effectiveness of tomographically-based statistcal process control.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
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