Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Bohacek, Jan

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Assessment of URANS-Type Turbulent Flow Modeling of a Single Port Submerged Entry Nozzle (SEN) for Thin Slab Continuous Casting (TSC) Process5citations
  • 2022Experimental and numerical investigations of arc plasma expansion in an industrial vacuum arc remelting (VAR) process10citations

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Chart of shared publication
Hackl, Gernot
1 / 3 shared
Nitzl, Gerald
1 / 1 shared
Watzinger, Josef
1 / 3 shared
Wu, Menghuai
2 / 5 shared
Kharicha, Abdellah
2 / 9 shared
Ludwig, Andreas
2 / 6 shared
Tang, Yong
1 / 2 shared
Karimi-Sibaki, Ebrahim
2 / 6 shared
Vakhrushev, Alexander
2 / 8 shared
Peyha, Mario
1 / 2 shared
Preiss, Bernhard
1 / 1 shared
Chart of publication period
2024
2022

Co-Authors (by relevance)

  • Hackl, Gernot
  • Nitzl, Gerald
  • Watzinger, Josef
  • Wu, Menghuai
  • Kharicha, Abdellah
  • Ludwig, Andreas
  • Tang, Yong
  • Karimi-Sibaki, Ebrahim
  • Vakhrushev, Alexander
  • Peyha, Mario
  • Preiss, Bernhard
OrganizationsLocationPeople

article

Experimental and numerical investigations of arc plasma expansion in an industrial vacuum arc remelting (VAR) process

  • Bohacek, Jan
  • Wu, Menghuai
  • Peyha, Mario
  • Kharicha, Abdellah
  • Ludwig, Andreas
  • Preiss, Bernhard
  • Karimi-Sibaki, Ebrahim
  • Vakhrushev, Alexander
Abstract

<jats:title>Abstract</jats:title><jats:p>In the present study, we investigate arc plasma expansion in an industrial vacuum arc remelting (VAR) process using experimental and numerical tools. Stainless steel is the alloy of interest for the electrode (cathode) and ingot (anode). During the operation of the VAR process, behaviors of cathode spots and plasma arc were captured using the high-speed camera (Phantom v2512). We found that spots prefer to onset and remain within the partially melted surface at the center of the electrode tip. Existing spots outside the melting zone accelerate toward the edge of the electrode to extinguish. We observed a fairly symmetrical and centric plasma column during the operation. For further investigation of the observed arc column in our experiment, we used the two-fluid magnetohydrodynamics (MHD) model of plasma proposed by Braginskii. Thus, we modeled the arc column as a mixture of two continuous interpenetrating compressible fluids involving ions and electrons. Through numerical simulations, we calculated plasma parameters such as number density of ions/electrons, electric current density, flow of ions/electrons, temperature of ions/electrons, and light intensity for the observed arc column in our experiment. The calculated light intensity of plasma was compared with images captured by the camera to verify the model. The distribution of electric current density along the surface of the anode, namely ingot, is a decisive parameter that impacts the quality of the final product (ingot) in VAR process. Herein, we confirm that the traditionally used Gaussian distribution of electric current density along the surface of the ingot is viable.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • stainless steel
  • experiment
  • simulation
  • current density