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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Numerical Simulation of Dynamic Thermal Process in Double-Sided Asymmetrical TIG Backing Welding of Large Thick Plates

Literature Overview

This study by Liu Dianbao, Zhao Huihui, Li Fuquan, Zhang Guangjun, and Wu Lin from the National Key Laboratory of Science and Technology on Precision Heat Processing of Metals, Harbin Institute of Technology (published 2011 in China Welding) presents a numerical simulation of the dynamic thermal process during double-sided asymmetrical TIG backing welding of large thick plates. This research addresses a practical challenge in heavy industry where thick plate welding requires backing welds for root pass quality assurance.

Technical Background

Double-sided asymmetrical TIG welding involves welding from one side while simultaneously welding from the opposite side with different parameters. This technique is employed for:

The asymmetrical nature of the process means that the front-side and back-side welding parameters differ, creating complex thermal interactions that are difficult to predict without numerical simulation.

Numerical Simulation Methodology

The study employs finite element analysis (FEA) to model the transient thermal field during welding:

Governing Equations

The heat transfer equation for the moving heat source:

∂(ρcT)/∂t + ∇·(k∇T) = Q(x, y, z, t)

Where:

Heat Source Model

A double-Gaussian heat source model is used to represent the two TIG arcs:

Q(r) = (f·P)/(√(2π)·a·b) · exp(-r²/(2a²))

Where:

Boundary Conditions

Simulation Results and Key Findings

The numerical simulation reveals several important characteristics of the thermal process:

Temperature Distribution

Location Peak Temperature (°C) Cooling Rate through 800°C (°C/s)
Front weld center 1800–2200 200–500
Back weld center 1500–1900 150–400
Interface between welds 1200–1600 100–300
HAZ (front) 800–1200 50–200
HAZ (back) 700–1100 40–150

Thermal Interaction Effects

The simulation demonstrates that:

  1. Sequential welding effect: When the back-side weld follows the front-side weld with a time delay, the thermal history of the front weld is modified by the back weld's heat input
  2. Temperature uniformity: Proper parameter asymmetry can achieve more uniform temperature distribution across the plate thickness
  3. Residual stress prediction: The thermal gradients predict residual stress patterns that influence distortion and cracking susceptibility

Process Parameter Optimization

Based on simulation results, the following parameter ranges are recommended for thick plate backing welds:

Parameter Front Side Back Side Notes
Current (A) 200–300 150–250 Back side lower to reduce burn-through
Travel speed (m/min) 0.3–0.6 0.3–0.6 Matched for thermal balance
Arc voltage (V) 18–24 16–22 Lower for back side
Shielding gas flow (L/min) 20–30 15–25 Adequate coverage
Time delay (s) — 5–15 Depends on plate thickness
Electrode diameter (mm) 3.2–4.0 3.2–4.0 Matched for stability

Engineering Application Considerations

For practical implementation in heavy industry fabrication:

Defect Prevention Through Thermal Management

The simulation provides insight into defect prevention:

  1. Porosity: Controlled by maintaining adequate shielding gas coverage during both front and back passes
  2. Cracking: Reduced by managing cooling rates through parameter optimization
  3. Incomplete fusion: Prevented by ensuring sufficient heat input at the interface
  4. Burn-through: Avoided by controlling back-side heat input and using backing bars or consumable backing

Study Insights and Reflections

This numerical simulation work demonstrates the value of computational methods in understanding complex thermal processes that are difficult to measure experimentally. The double-sided asymmetrical approach offers a practical solution for thick plate fabrication where single-sided welding cannot achieve the required root quality.

Engineers should recognize that numerical simulation results must be validated against experimental data before full-scale implementation. The thermal model assumptions—particularly regarding heat source distribution and boundary conditions—must be refined based on actual welding conditions. The study's methodology provides a framework for process optimization that can be extended to other welding configurations and material systems.

The practical significance of this research lies in its application to heavy industry fabrication, where welding of thick plates is routine but quality assurance remains challenging. By understanding the thermal interactions between front and back welds, fabricators can optimize parameters to achieve superior root quality while minimizing distortion and residual stresses.