Evidence map›Paper›PMID 41011858›Full record

ArticleMicromachines2025

Impact of Magnetic Fields on Arc Pressure, Temperature, Plasma Velocity, and Voltage in TIG Welding.

Gang Chen, Gaosong Li, Lei Wu, Zhenya Wang

Abstract read
In one paragraph

Article in Micromachines, 2025. 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 authors.

Gang ChenSchool of Mechanical and Electric Engineering, Sanming University, Sanming 365004, China.
Gaosong LiSchool of Intelligent Manufacturing Institute, HuangHuai University, Zhumadian 463000, China.
Lei WuSchool of Mechanical and Electric Engineering, Sanming University, Sanming 365004, China.
Zhenya WangDepartment of Mechanical Engineering, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-0531-014X

Funding

the Fujian Province Science and Technology Plan Guiding Project 2024H0024the Fujian Provincial High-end Equipment Manufacturing Collaborative Innovation Centre 2021-C-275the Natural Science Foundation Project of Fujian Province 2024J01160
6 · The paper itself

Abstract

A longitudinal magnetic field provides a new method for regulating the plasma velocity, pressure field, and temperature field of the TIG welding arc. However, the mechanism of action of the longitudinal magnetic field remains poorly understood. In order to address this problem, this paper develops a numerical model based on continuum mechanics. The mechanism of how magnetic field strength affects temperature, pressure field, plasma velocity, and potential was investigated. The geometric shape, temperature, pressure, and plasma velocity of the TIG welding arc under different magnetic fields were predicted. The results indicate that as magnetic field strength increases, the arc shape is compressed under the influence of magnetic forces, with the degree of compression increasing with magnetic field strength; plasma velocity gradually increases from 74 m/s at 0 mT to 296 m/s at 150 mT, but the velocity along the arc's central axis first decreases and then increases with increasing magnetic field strength. As the magnetic field strength increases, a negative pressure first appears near the cathode, then expands toward the cathode, and finally toward the anode. During the expansion of the negative pressure, the maximum absolute value of the arc pressure increases by 12.72 times.

Indexed as

longitudinal magnetic fieldplasma velocitypressure fieldtemperatureTIG welding arc

Identifiers

PMID41011858
PMCPMC12472086

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.