Review on Modeling and Simulation of Electroslag Remelting
The Electroslag Remelting (ESR) is an advanced technology for the production of high quality materials, for example, hot work tool steels or nickel base alloys. In the past years, several models are developed aiming to predict the way in which the operational parameters affect the structure and chem...
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Published in | Steel research international Vol. 89; no. 1 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
Wiley Subscription Services, Inc
01.01.2018
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Subjects | |
Online Access | Get full text |
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Summary: | The Electroslag Remelting (ESR) is an advanced technology for the production of high quality materials, for example, hot work tool steels or nickel base alloys. In the past years, several models are developed aiming to predict the way in which the operational parameters affect the structure and chemical composition of the final ESR ingot. Proper modeling of this process depends on the ability of the model to predict the Multiphysics resulting from the complex coupling between many physical phenomena. This review includes the main findings starting from the 1970's, with a special focus on the results obtained in the period of 1999–2017. The difficulties related to the poorly known physical properties of ESR slags are discussed. Then, the main achievements in the field of electromagnetism, fluid flow, heat transfer, and solidification are also summarized. The review finishes by presenting the special topics representing the actual scientific frontiers, such as the physics of mold current, the importance of multiphase phenomena, and the difficulties in predicting the electrode melting rate.
The Electroslag Remelting (ESR) is an advanced technology for the production of high quality materials, such as hot work tool steels or nickel base alloys. This study presents a re‐view on modeling and simulation of the ESR including the main findings starting from the 1970's, with a special focus on the results obtained in the period of 1999–2017. |
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ISSN: | 1611-3683 1869-344X |
DOI: | 10.1002/srin.201700100 |