ISSN -
11th International Rolling Conference (IRC 2019) — vol. 11, num.11 (2019)
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Abstract
Electromagnetic based (EM) sensor technology has been shown to detect changes in the magnetic permeability of steel strip travelling down the run out table after rolling. Measuring below the Curie temperature, these changes can be interpreted in terms of the phase transformation from austenite (paramagnetic) to ferrite (ferromagnetic). These real time measurements provide a detailed insight into the changes in the structure at high temperature providing the steel producer with feedback on quality control, product consistency and product development. However unlike mill microstructure models, the sensor measurement provides a point reading at a distance through the cooling course. To map the transformation in more detail, a sensor array is required along the length of the Run Out Table i.e. to measure points on the austenite to ferrite transformation curve. This paper describes the process and metallurgical factors that should be considered in the optimum design of a sensor array, i.e. the number and location of the sensor heads. Examples of cooling strategies for different steel grades e.g. low carbon, structural and dual phase steels are used to demonstrate the importance of sensor location. In addition, the effect of variability within typical industrial parameters e.g. cooling speed, on the sensitivity of sensor output and location will be considered.
Keywords
Electromagnetic Sensor, High Temperature Measurement, Phase transformation
How to refer
Hinton, John.
ADDING VALUE USING EM SENSOR ARRAY DESIGNED FOR A RUN OUT TABLE
,
p. 640-649.
In: 11th International Rolling Conference (IRC 2019),
São Paulo,
2019.
ISSN: -
, DOI 10.5151/9785-9785-32350