In-plant real-time manufacturing water content characterisation

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....

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Main Authors: Patrick Webb, George Skouteris, Shahin Rahimifard
Format: Default Article
Published: 2018
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Online Access:https://hdl.handle.net/2134/34874
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id rr-article-9567014
record_format Figshare
spelling rr-article-95670142018-01-01T00:00:00Z In-plant real-time manufacturing water content characterisation Patrick Webb (1258326) George Skouteris (3846028) Shahin Rahimifard (1247889) Mechanical engineering not elsewhere classified Industrial water sustainability Food industry Water quality In-line instrumentation Turbidity Optical fingerprint Mechanical Engineering not elsewhere classified 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. 2018-01-01T00:00:00Z Text Journal contribution 2134/34874 https://figshare.com/articles/journal_contribution/In-plant_real-time_manufacturing_water_content_characterisation/9567014 CC BY 4.0
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
Industrial water sustainability
Food industry
Water quality
In-line instrumentation
Turbidity
Optical fingerprint
Mechanical Engineering not elsewhere classified
spellingShingle Mechanical engineering not elsewhere classified
Industrial water sustainability
Food industry
Water quality
In-line instrumentation
Turbidity
Optical fingerprint
Mechanical Engineering not elsewhere classified
Patrick Webb
George Skouteris
Shahin Rahimifard
In-plant real-time manufacturing water content characterisation
description 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.
format Default
Article
author Patrick Webb
George Skouteris
Shahin Rahimifard
author_facet Patrick Webb
George Skouteris
Shahin Rahimifard
author_sort Patrick Webb (1258326)
title In-plant real-time manufacturing water content characterisation
title_short In-plant real-time manufacturing water content characterisation
title_full In-plant real-time manufacturing water content characterisation
title_fullStr In-plant real-time manufacturing water content characterisation
title_full_unstemmed In-plant real-time manufacturing water content characterisation
title_sort in-plant real-time manufacturing water content characterisation
publishDate 2018
url https://hdl.handle.net/2134/34874
_version_ 1794747248876191744