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dc.contributor.authorHernández, Jesús D.-
dc.contributor.authorOnofri, Luca-
dc.contributor.authorEngell, Sebastian-
dc.date.accessioned2022-06-02T12:03:19Z-
dc.date.available2022-06-02T12:03:19Z-
dc.date.issued2020-10-09-
dc.identifier.urihttp://hdl.handle.net/2003/40934-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22784-
dc.description.abstractA channel arc model (CAM) that predicts the temperature and the geometry of an electric arc from its voltage and impedance set-points is presented. The core of the model is a nonlinear programming (NLP) formulation that minimizes the entropy production of a plasma column, the physical and electrical properties of which satisfy the Elenbaas–Heller equation and Ohm's law. The radiative properties of the plasma are approximated utilizing the net emission coefficient (NEC), and the NLP is solved using a global numerical solver. The effects of the voltage and impedance set-points on the length of the electric arc are studied, and a linear formula that estimates the length of the arc in terms of its electrical set-points is deducted. The length of various electric arcs is measured in a fully operative electric arc furnace (EAF), and the results are used to validate the proposed models. The errors in the predictions of the models are 0.5 and 0.4 cm. In comparison, the existing empirical and Bowman formulae estimate the length of the experimental arcs with errors of 2.1 and 2.6 cm. A simplified formula to estimate the temperature of an electric arc in terms of its electrical set-points is also presented.en
dc.language.isoende
dc.relation.ispartofseriesSteel research international;92(3)-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectElectric arcsen
dc.subjectElenbaas-Heller equationen
dc.subjectMinimum entropy productionen
dc.subjectPlasmaen
dc.subjectSteelmakingen
dc.subject.ddc660-
dc.titleNumerical estimation of the geometry and temperature of an alternating current steelmaking electric arcen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access-
eldorado.openaire.projectidentifierinfo:eu-repo/grantAgreement/EC/H2020/675215/EU/PRONTO: PROcess NeTwork Optimization for efficient and sustainable operation of Europe’s process industries taking machinery condition and process performance into account./PRONTOde
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1002/srin.202000386de
eldorado.secondarypublication.primarycitationHernández, J.D., Onofri, L. and Engell, S. (2021), Numerical Estimation of the Geometry and Temperature of An Alternating Current Steelmaking Electric Arc. steel research int., 92: 2000386. https://doi.org/10.1002/srin.202000386de
Appears in Collections:Lehrstuhl Systemdynamik und Prozessfuehrung



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