Smart Manufacturing in Rolling Process Based on Thermal Safety Monitoring by Fiber Optics Sensors Equipping Mill Bearings

Author:

Brusa EugenioORCID,Delprete CristianaORCID,Giorio LorenzoORCID

Abstract

The steel rolling process is critical for safety and maintenance because of loading and thermal operating conditions. Machinery condition monitoring (MCM) increases the system’s safety, preventing the risk of fire, failure, and rupture. Equipping the mill bearings with sensors allows monitoring of the system in service and controls the heating of mill components. Fiber optic sensors detect loading condition, vibration, and irregular heating. In several systems, access to machinery is rather limited. Therefore, this paper preliminarily investigates how fiber optics can be effectively embedded within the mill cage to set up a smart manufacturing system. The fiber Bragg gratings (FBG) technology allows embedding sensors inside the pins of backup bearings and performing some prognosis and diagnosis activities. The study starts from the rolling mill layout and defines its accessibility, considering some real industrial cases. Testing of an FBG sensor prototype checks thermal monitoring capability inside a closed cavity, obtained on the surface of either the fixed pin of the backup bearing or the stator surrounding the outer ring. Results encourage the development of the whole prototype of the MCM system to be tested on a real mill cage in full operation.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference71 articles.

1. Report on Best Available Techniques (BAT) in the German Ferrous Metals Processing Industry;Rentz,1999

2. Numerical and experimental analysis of the dynamic effects in compact cluster mills for cold rolling

3. Trends in the Steel Industry: Innovative Solutions to Drive Sustainability

4. Intelligent Condition Based Monitoring: For Turbines, Compressors, and Other Rotating Machines;Verma,2020

5. Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control;Brunton,2019

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