Evidence map›Paper›PMID 42795245›Full record

ArticleMaterials (Basel, Switzerland)2026

Numerical Simulation of Short-Arc-Plasma Characteristics in DC Electrofusion Magnesium Furnaces.

Qing Wang, Xuezhi Li, Hang Dong, Baozhen Yang, Pengfei Liu, Chuanhui Dai, Xiang Shen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qing WangCollege of Modern Intelligent Manufacturing, School of Mechanical Engineering, Xinjiang University, Urumqi 830017, China.
Xuezhi LiCollege of Modern Intelligent Manufacturing, School of Mechanical Engineering, Xinjiang University, Urumqi 830017, China.
Hang DongCollege of Modern Intelligent Manufacturing, School of Mechanical Engineering, Xinjiang University, Urumqi 830017, China.
Baozhen YangCollege of Modern Intelligent Manufacturing, School of Mechanical Engineering, Xinjiang University, Urumqi 830017, China.
Pengfei LiuXinjiang Joinworld Co., Ltd., Urumqi 830013, China.
Chuanhui DaiXinjiang Joinworld Co., Ltd., Urumqi 830013, China.
Xiang ShenXinjiang Joinworld Co., Ltd., Urumqi 830013, China.

Funding

People's Government of Xinjiang Uygur Autonomous Region 20241129929
6 · The paper itself

Abstract

To clarify the heat transfer and flow characteristics of arc plasma in a DC magnesium electrofusion furnace under short-arc conditions, a two-dimensional axisymmetric magnetohydrodynamic (MHD) model was developed. Coupled electromagnetic, thermal, and flow fields were solved using COMSOL Multiphysics 6.3, and the model was validated against Bowman's free-arc experimental data. Results show that the arc is electromagnetically constricted into a contracted column, with high-temperature and high-velocity regions concentrated near the arc center. Unlike conventional long arcs, the short arc reaches the anode before the jet fully diffuses, causing momentum to be concentrated on the anode surface and generating pronounced pressure peaks. Higher current increases the arc temperature and jet velocity, thereby strengthening the pressure and shear stresses exerted on the molten pool. In contrast, increasing the arc length reduces the arc temperature, flow velocity, and surface forces, weakening both momentum transfer and heat transfer to the molten pool. Overall analysis reveals that arc length has a more significant effect on arc-molten pool interactions than current and is the dominant parameter governing short-arc behavior. These findings provide guidance for optimizing operating conditions and improving energy utilization in magnesium electrofusion furnaces.

Indexed as

arc–melt pool interactionarc plasmaDC electric arc furnacemagnesium electrofusionmagnetohydrodynamics

Identifiers

PMID42795245
PMCPMC13609610

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.