Paper
9 June 2000 Numerical modeling and experimental study of motion-induced remote field current effect and its applications to online inspection and quality examination of rolling metallic strips
Yushi Sun, Satish S. Udpa, William Lord, Lalita Udpa, Tianhe Ouyang
Author Affiliations +
Abstract
Currently, rolled metallic strips and sheets are inspected off-line, which is costly, time consuming and not ideal for quality control. A well designed online diagnostic and control system for metal rolling process may largely reduce cost, improve quality, and hence enhance competitiveness of the product. The overall objective of this paper is to study a new nondestructive measurement system for on-line diagnostics and control of metallic rolling process using motion-induced remote-field eddy-current (MIRFEC) effect. The system can be used to monitor in real time the rolled metallic strips/sheets for possible anomalies, inclusions, voids, bubbles, lamination, as well as measuring variations of its properties. The potential advantages of the MIRFEC system include simplicity, robustness, low cost, high reliability, quick and accurate signal classification and characterization that can used for real-time process control, or off-line data analysis. The technique also allows operation at high temperature, large lift-off and vibration, and high rolling speed. Results of finite element modeling of the MIRFEC effect and experimental measurement data obtained from a prototype system are presented.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yushi Sun, Satish S. Udpa, William Lord, Lalita Udpa, and Tianhe Ouyang "Numerical modeling and experimental study of motion-induced remote field current effect and its applications to online inspection and quality examination of rolling metallic strips", Proc. SPIE 3995, Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, (9 June 2000); https://doi.org/10.1117/12.387851
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Inspection

Magnetism

Aluminum

Data modeling

Metals

Finite element methods

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