| EPSRC Reference: |
GR/K78973/01 |
| Title: |
INVESTIGATION OF THE USE OF CELLULAR NEURAL NETWORK AUTOMATIC CONTROL FOR THE FROTH FLOATATION OF COAL |
| Principal Investigator: |
Zimmerman, Professor W |
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| Department: |
Chemical Engineering |
| Organisation: |
UMIST |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 1995 |
Ends: |
30 September 1996 |
Value (£): |
29,407
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Summary on Grant Application Form |
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A major thrust of the clean technology programme is the development of clean combustion processes. One approach is the separation of mineral from coal prior to combustion, so that scrubbing is minimised or so that clean burning synthesis gas can be produced. A much lauded method of separation is to grind the coal to small particles, then physically separate the coal from the minerals by froth flotation. Unfortunately, there is at present no established means of controlling the froth. In this proposal, the novel use of CNN technology to create a visual control system is mooted. In order to assess the practicality, the CNN workstation is needed. The project will be carried out by the PI and an RA1B, in collaboration with the research group of Professor E T Woodburn.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
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| Description |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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