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In-plant real-time manufacturing water content characterisation

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journal contribution
posted on 14.09.2018, 15:50 by Patrick Webb, George Skouteris, Shahin Rahimifard
To trial the concept of in-plant real-time manufacturing water content characterisation, a commercial optical system for measuring light absorption and backscatter intensity was used with samples of food industry wastewater, and the results compared with conventional laboratory based water analysis. It is shown that the instrumentation is capable of coping with the range of turbidities presented by the wastewater and that there is some correlation between the absorption and backscatter measurements with the conventional parameters COD and TSS. It is suggested that combining backscatter and absorption data may provide an optical fingerprint of effluent that can be used as a management parameter, for example to identify unexpected contamination events. Potential uses of the instrumentation are discussed, including to provide rapid feedback on effects of system changes on effluent production, and in a feedback control loop to allow reuse of water without compromising product safety.

Funding

This work was part funded by the Engineering and Physical Sciences Research Council (EPSRC), United Kingdom through the Centre for Innovative Manufacturing in Food [grant number EP/K030957/1].

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Water Resources and Industry

Citation

WEBB, D.P., SKOUTERIS, G. and RAHIMIFARD, S., 2018. In-plant real-time manufacturing water content characterisation. Water Resources and Industry, 20, pp.37-45.

Publisher

Elsevier © The Authors

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Acceptance date

31/08/2018

Publication date

2018

Notes

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

ISSN

2212-3717

Language

en

Licence

Exports