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) |
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 |