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STEEL PIPE · FITTING · WELDING TECHNICAL STUDY

Free Surface Evolution Behavior of Molten Pool in Stationary TIG Welding

Literature Overview

This paper by Fan Ding, Huang Lin, Huang Jiankang, and Shi Yu, published in 2014 in the Journal of Lanzhou University of Technology, presents a three-dimensional numerical simulation of the molten pool free surface evolution during stationary TIG welding. Funded by the National Natural Science Foundation of China (Project 51205179), the study employs the Volume of Fluid (VOF) method combined with a Gaussian heat source model to track the free surface deformation of the molten pool over time.

Core Technical Points

Traditional numerical models of welding molten pools often assume a flat or parabolic free surface, which simplifies the mathematical formulation but fails to capture the true physical behavior. This study takes a more rigorous approach by solving the full Navier-Stokes equations with the VOF method to explicitly track the liquid-gas interface.

The forces acting on the molten pool are:

Numerical Model and Boundary Conditions

The simulation model incorporates:

Model Component Description
Heat source Double-ellipsoidal Gaussian distribution (Goldak model)
Free surface tracking VOF method with sharp interface capture
Flow solver FLOW3D with user-defined subroutines
Phase change Enthalpy method for latent heat treatment
Surface tension Temperature-dependent σ(T) = σ₀(1 - β(T-Tm))
Mesh Adaptive mesh refinement near free surface

The governing equations include:

Results and Analysis

The study reveals several important findings regarding free surface evolution:

  1. Initial stage (0–1 s): The molten pool forms rapidly under arc pressure, creating a depressed surface profile. The pool width increases faster than the pool depth.
  2. Intermediate stage (1–5 s): Marangoni convection develops as surface tension gradients establish. The free surface begins to exhibit undulations due to the interplay between inward Marangoni flow and outward arc pressure.
  3. Steady-state stage (> 5 s): The pool reaches a quasi-steady configuration with a wide and shallow morphology. The free surface displays pronounced convex-concave deformations that stabilize over time.

The following table summarizes typical pool dimensions at steady state for common TIG welding parameters:

Current (A) Pool Width (mm) Pool Depth (mm) Aspect Ratio (W/D)
100 8.0–10.0 2.0–3.0 3.0–4.0
150 12.0–15.0 3.0–4.5 3.0–4.0
200 16.0–20.0 4.0–6.0 3.0–4.0
250 20.0–25.0 5.0–7.5 3.0–4.0

Engineering Practice Integration

Understanding the free surface morphology is critical for predicting weld bead geometry and defect formation:

For process optimization, the following strategies emerge:

  1. Current pulsing: Reducing the mean current while maintaining peak current can flatten the pool surface, reducing convexity.
  2. Electrode angle control: Tilting the electrode changes the arc pressure distribution, allowing asymmetric pool shaping.
  3. Magnetic field application: External magnetic fields can be used to manipulate pool flow and surface morphology.

Key Questions and Reflections

The study demonstrates that the free surface is far from flat during TIG welding, which challenges the common simplification used in many analytical models. However, the stationary weld simulation does not account for the transient effects of electrode movement, which creates additional surface waves and pool asymmetry in the travel direction.

A practical question for engineers is: How does the free surface deformation translate to solidified weld bead geometry? The relationship is not straightforward because solidification occurs from the pool boundary inward, and the final bead shape depends on the thermal history as well as the instantaneous pool shape.

Study Insights and Implications

This research advances the fundamental understanding of TIG welding pool physics by demonstrating the importance of free surface dynamics. The VOF-based approach provides a framework that can be extended to moving weld simulations, multi-pass welding, and other arc welding processes. For engineers involved in welding process development, these findings emphasize that pool surface morphology is a key intermediate variable linking process parameters to final weld quality. Computational models incorporating free surface tracking can serve as powerful tools for virtual process optimization, reducing the need for extensive physical trial-and-error experimentation. The work also highlights the continued importance of fundamental physics research in supporting practical welding applications, bridging the gap between theoretical understanding and industrial implementation.