Abstract

Gas tungsten arc welding with an external magnetic field is proven to suppress weld defects while improving welding speed. A three-dimensional numerical model that considers interactions among the arc plasma, weld pool, metal vapor, and external magnetic field is developed. The influences of the external magnetic field and metal vapor on arc and weld pool behaviors are investigated. The external magnetic field has an important influence on the arc shape and the weld pool flow field. The metal vapor increases the arc radiation loss but decreases the conductivity and local current density.

Highlights

  • Gas tungsten arc welding (GTAW) is one of the most commonly used welding technologies in modern manufacturing, in the manufacture of thin-walled structural parts such as welded 409L ferrite stainless steel sheets [1]

  • The major problem with high-speed GTAW has been that undercut defects always appear when the welding speed exceeds a certain critical value

  • Tanaka et al [13] found that the metal vapor was strongly influenced by high-speed plasma flow and expanded in the radial direction while its distribution was concentrated just above the molten pool surface beneath the arc

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Summary

Introduction

Gas tungsten arc welding (GTAW) is one of the most commonly used welding technologies in modern manufacturing, in the manufacture of thin-walled structural parts such as welded 409L ferrite stainless steel sheets [1]. Metals 2020, 10, 1199 three-dimensional numerical model of a gas metal arc welding arc with an external composite magnetic field and studied redistribution of the temperature, pressure, and electromagnetic force in the arc plasma. They found that the peak temperature and pressure decreased and the temperature distribution was more uniform when a magnetic field was applied. Tanaka et al [13] found that the metal vapor was strongly influenced by high-speed plasma flow and expanded in the radial direction while its distribution was concentrated just above the molten pool surface beneath the arc. The simulation results lay a foundation for further optimization of the GTAW process

Numerical Model of a Composite Magnetic Generator
Magnetic
When temperature exceeds steel the Curie temperature
Magnetization
Basic Assumptions
Governing
Computation Domain and Boundary Conditions
Energy Terms at the Interface
Welding Parameters and Material Properties
Magnetic Induction Intensity Distribution
10. EMF when is yoz energized:
After the
12. Current
The self-induced
14. Additional
15. Metal vapor distribution:
The decreased
Experimental
22. It by measured when the 1 was energized at differentresults levels of
23. During
24. Distribution
Conclusions
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