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Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle.

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Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle. / Ma, Xiandong; Peyton, Anthony J.; Binns, Richard et al.
In: IEEE Sensors Journal, Vol. 5, No. 2, 04.2005, p. 224-232.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Ma X, Peyton AJ, Binns R, Higson SR. Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle. IEEE Sensors Journal. 2005 Apr;5(2):224-232. doi: 10.1109/JSEN.2004.842443

Author

Ma, Xiandong ; Peyton, Anthony J. ; Binns, Richard et al. / Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle. In: IEEE Sensors Journal. 2005 ; Vol. 5, No. 2. pp. 224-232.

Bibtex

@article{8ca4ad47752f45e9b64b1619d3ab8c42,
title = "Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle.",
abstract = "Control of molten steel delivery through the pouring nozzle is critical to ensure an optimum laminar flow pattern in continuous casting, which influences the surface quality, cleanliness, and hence the value of the cast product. A nonintrusive and nonhazardous visualization technique, which uses rugged and noninvasive sensors, would be highly desirable in such harsh industrial production environments. This paper presents an electromagnetic approach for tomographically visualizing the molten steel distribution within a submerged entry nozzle (SEN). The tomographic system consists of an eight-coil sensor array, data acquisition unit, associated conditioning circuitry, and a PC computer, which have been purposely designed and constructed for hot trials. The paper starts with an overview of electromagnetic imaging techniques. The construction of the sensor array and associated electronics are then discussed, followed by sensitivity map analysis and a description of the applied image reconstruction algorithm. Image results, as reconstructed from cold sample measurements and hot pilot plant trials, are also presented. Despite a low frame acquisition rate (1.35s per frame), the images generated from the prototype system are capable of providing an adequate representation of the changes of real molten steel flow profiles within the SEN. The paper demonstrates that the application of electromagnetic tomographic technique to this problem shows significant promise for future industrial processes.",
keywords = "Continuous casting, electromagnetic inductance, steel, tomography",
author = "Xiandong Ma and Peyton, {Anthony J.} and Richard Binns and Higson, {Stuart R.}",
note = "{"}{\textcopyright}2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.{"} {"}This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"}",
year = "2005",
month = apr,
doi = "10.1109/JSEN.2004.842443",
language = "English",
volume = "5",
pages = "224--232",
journal = "IEEE Sensors Journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle.

AU - Ma, Xiandong

AU - Peyton, Anthony J.

AU - Binns, Richard

AU - Higson, Stuart R.

N1 - "©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

PY - 2005/4

Y1 - 2005/4

N2 - Control of molten steel delivery through the pouring nozzle is critical to ensure an optimum laminar flow pattern in continuous casting, which influences the surface quality, cleanliness, and hence the value of the cast product. A nonintrusive and nonhazardous visualization technique, which uses rugged and noninvasive sensors, would be highly desirable in such harsh industrial production environments. This paper presents an electromagnetic approach for tomographically visualizing the molten steel distribution within a submerged entry nozzle (SEN). The tomographic system consists of an eight-coil sensor array, data acquisition unit, associated conditioning circuitry, and a PC computer, which have been purposely designed and constructed for hot trials. The paper starts with an overview of electromagnetic imaging techniques. The construction of the sensor array and associated electronics are then discussed, followed by sensitivity map analysis and a description of the applied image reconstruction algorithm. Image results, as reconstructed from cold sample measurements and hot pilot plant trials, are also presented. Despite a low frame acquisition rate (1.35s per frame), the images generated from the prototype system are capable of providing an adequate representation of the changes of real molten steel flow profiles within the SEN. The paper demonstrates that the application of electromagnetic tomographic technique to this problem shows significant promise for future industrial processes.

AB - Control of molten steel delivery through the pouring nozzle is critical to ensure an optimum laminar flow pattern in continuous casting, which influences the surface quality, cleanliness, and hence the value of the cast product. A nonintrusive and nonhazardous visualization technique, which uses rugged and noninvasive sensors, would be highly desirable in such harsh industrial production environments. This paper presents an electromagnetic approach for tomographically visualizing the molten steel distribution within a submerged entry nozzle (SEN). The tomographic system consists of an eight-coil sensor array, data acquisition unit, associated conditioning circuitry, and a PC computer, which have been purposely designed and constructed for hot trials. The paper starts with an overview of electromagnetic imaging techniques. The construction of the sensor array and associated electronics are then discussed, followed by sensitivity map analysis and a description of the applied image reconstruction algorithm. Image results, as reconstructed from cold sample measurements and hot pilot plant trials, are also presented. Despite a low frame acquisition rate (1.35s per frame), the images generated from the prototype system are capable of providing an adequate representation of the changes of real molten steel flow profiles within the SEN. The paper demonstrates that the application of electromagnetic tomographic technique to this problem shows significant promise for future industrial processes.

KW - Continuous casting

KW - electromagnetic inductance

KW - steel

KW - tomography

U2 - 10.1109/JSEN.2004.842443

DO - 10.1109/JSEN.2004.842443

M3 - Journal article

VL - 5

SP - 224

EP - 232

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

SN - 1530-437X

IS - 2

ER -