WooleyManuscript-revised.pdf (349.78 kB)
Clean-in-place monitoring of different food fouling materials using ultrasonic measurements
journal contribution
posted on 2019-06-06, 09:55 authored by J. Escrig Escrig, Elliot WoolleyElliot Woolley, Shreedhar Rangappa, Alessandro Simeone, Nicholas WatsonClean-in-Place is an autonomous technique used to clean the internal surfaces of processing equipment in the
food and drink sector. However, these systems clean for a longer time than required with negative economic and
environmental impacts. In this work, an ultrasonic sensor system was developed to monitor the cleaning of
different food fouling materials at laboratory scale. The fouling removal of three different food materials was
also studied at different cleaning fluid temperatures. The three food materials had different cleaning mechanisms, which could be monitored successfully with the ultrasonic system. Tomato paste and gravy appeared to be
cleaned by mechanical forces whereas malt extract dissolved into the cleaning water. The results yielded from
the cleaning of the malt was found to be repeatable whereas the tomato and gravy were more variable between
repeat experiments. It was found that changes in recorded ultrasonic signals were mainly affected by the area of
fouling that covered the transducer's active element.
Funding
This work was supported by the Innovate UK projects 103936 and 132205.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Food ControlVolume
104Pages
358 - 366Citation
ESCRIG ESCRIG, J. ... et al., 2019. Clean-in-place monitoring of different food fouling materials using ultrasonic measurements. Food Control, 104, pp. 358 - 366.Publisher
© Elsevier BVVersion
- AM (Accepted Manuscript)
Publisher statement
This paper was accepted for publication in the journal Food Control and the definitive published version is available at https://doi.org/10.1016/j.foodcont.2019.05.013Acceptance date
2019-05-11Publication date
2019-05-16Copyright date
2019ISSN
0956-7135Publisher version
Language
- en