An analysis of the use of magnetic source tomography to measure the spatial distribution of electric current during vacuum arc remelting

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@article{b920c33b60644795b1c5139bc5f7a622,
title = "An analysis of the use of magnetic source tomography to measure the spatial distribution of electric current during vacuum arc remelting",
abstract = "Magnetic source tomography is explored to analyse the distribution of electric current during vacuum arc remelting (VAR). The goal is to use sensors outside the process to deduce the behaviour within. VAR systems having non-axisymmetric distributions of arc current were modelled using a commercial finite element electromagnetic code (Opera 3d), and a database was created from the resulting patterns of magnetic flux predicted to occur outside the crucible. A reconstruction algorithm was developed using constrained nonlinear optimization to estimate the arc current distribution within the process from the magnetic field data outside. The capabilities of this algorithm were studied, and it was found that given sufficiently low noise in the measurement data it was possible to accurately deduce important features of the spatial distribution of the arc current.",
keywords = "optimization methods, electromagnetic tomography, discharge in vacuum",
author = "{Gopinathan Nair}, Bindu and Robin Ward",
year = "2009",
month = apr,
day = "1",
doi = "10.1088/0957-0233/20/4/045701",
language = "English",
volume = "20",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing",
number = "4",

}

RIS

TY - JOUR

T1 - An analysis of the use of magnetic source tomography to measure the spatial distribution of electric current during vacuum arc remelting

AU - Gopinathan Nair, Bindu

AU - Ward, Robin

PY - 2009/4/1

Y1 - 2009/4/1

N2 - Magnetic source tomography is explored to analyse the distribution of electric current during vacuum arc remelting (VAR). The goal is to use sensors outside the process to deduce the behaviour within. VAR systems having non-axisymmetric distributions of arc current were modelled using a commercial finite element electromagnetic code (Opera 3d), and a database was created from the resulting patterns of magnetic flux predicted to occur outside the crucible. A reconstruction algorithm was developed using constrained nonlinear optimization to estimate the arc current distribution within the process from the magnetic field data outside. The capabilities of this algorithm were studied, and it was found that given sufficiently low noise in the measurement data it was possible to accurately deduce important features of the spatial distribution of the arc current.

AB - Magnetic source tomography is explored to analyse the distribution of electric current during vacuum arc remelting (VAR). The goal is to use sensors outside the process to deduce the behaviour within. VAR systems having non-axisymmetric distributions of arc current were modelled using a commercial finite element electromagnetic code (Opera 3d), and a database was created from the resulting patterns of magnetic flux predicted to occur outside the crucible. A reconstruction algorithm was developed using constrained nonlinear optimization to estimate the arc current distribution within the process from the magnetic field data outside. The capabilities of this algorithm were studied, and it was found that given sufficiently low noise in the measurement data it was possible to accurately deduce important features of the spatial distribution of the arc current.

KW - optimization methods

KW - electromagnetic tomography

KW - discharge in vacuum

U2 - 10.1088/0957-0233/20/4/045701

DO - 10.1088/0957-0233/20/4/045701

M3 - Article

VL - 20

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 4

M1 - 045701

ER -