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GMR based detection of fouling and effective cleaning in manufacturing processes

Lead Research Organisation: University of York
Department Name: Physics

Abstract

This project is sponsored by P&G as the industrial partner and is concerned with the monitoring of industrial process flows using optical sensors. In particular, we aim to develop novel approaches towards optically monitoring the build-up and removal of foulant layers in process pipes. The student will determine the sensitivity, stability, and applicability of these sensors across a range of chemistries, developing a relationship between changes in refractive index (RI) over time, response changes relative to bulk chemistry and identify regimes for cleaning verification using a sensor-based approach.

People

ORCID iD

Ayesha Razi (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/Z53092X/1 30/09/2024 29/09/2029
2928835 Studentship EP/Z53092X/1 30/09/2024 29/09/2028 Ayesha Razi