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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

06Cr18Ni11Ti Stainless Steel Thin Plate Pulsed TIG Welding Numerical Simulation

Research Context and Technical Motivation

The study by Huang Wenxiang, Zhang Chun, Li Hui, and Meng Lei from the 724th Research Institute of China Shipbuilding Industry Corporation, published in Thermal Processing Technology in 2022, focuses on the numerical simulation of pulsed TIG welding of 06Cr18Ni11Ti stainless steel thin plates. This material, equivalent to AISI 321 (stabilized with titanium to prevent intergranular corrosion), is widely used in marine applications, chemical processing equipment, and nuclear industry components where resistance to intergranular corrosion and stress corrosion cracking is essential. The thin plate thickness (typically 1-3 mm) presents unique challenges for achieving full penetration without excessive heat input that could cause distortion or sensitization of the heat-affected zone.

Pulsed TIG Welding Process Characteristics

Pulsed TIG welding employs a cyclic current waveform consisting of a base current and a peak current, allowing precise control of heat input, weld pool dynamics, and solidification behavior. The pulsed current provides several advantages over conventional DC TIG welding for thin plate applications: reduced total heat input, improved arc stability, reduced spatter, better weld bead profile control, and reduced distortion. The following table presents the typical pulsed TIG parameters optimized for 1.5-2.0 mm thick 321 stainless steel:

Parameter Value Function
Base current 20-30 A Maintain arc, control penetration
Peak current 100-150 A Achieve full penetration
Pulse frequency 5-15 Hz Control weld pool dynamics
Peak duration 5-15 ms Control penetration per pulse
Base duration 60-180 ms Allow solidification between pulses
Travel speed 100-150 mm/min Balance heat input and productivity
Shielding gas 99.99% Ar or Ar + 2% CO2 Arc stability and penetration
Tungsten electrode 1.6-2.4 mm, 2% La Arc stability and longevity
Filler wire ER321 or ER347, 1.2 mm Matched composition

Numerical Model and Simulation Results

The numerical model developed in this study couples the electromagnetic field, fluid dynamics, heat transfer, and phase change phenomena within a three-dimensional computational domain. The pulsed current waveform is accurately represented in the electromagnetic model, and the resulting time-varying Lorentz force and Joule heating are coupled to the fluid and thermal models. The model accounts for the key physical phenomena including: arc plasma behavior with current density distribution, weld pool convection driven by Lorentz force and Marangoni force, solidification with latent heat release, and thermal cycling effects on microstructure evolution.

The simulation results reveal several important insights. First, the pulsed current creates a periodic weld pool behavior where the peak current causes rapid penetration deepening and the base current allows partial solidification, resulting in a controlled, oscillating weld pool that produces a uniform, narrow weld bead. Second, the heat input per pulse is significantly lower than the equivalent continuous current, reducing the total heat input by 30-50% compared to conventional TIG welding at the same average current. Third, the thermal cycle at the fusion boundary shows peak temperatures of 1,400-1,600°C with cooling rates of 5-15°C/s, which is within the range that avoids sensitization of the 321 stainless steel.

Microstructure Prediction and Corrosion Resistance Assessment

The numerical simulation includes a solidification model that predicts the weld metal microstructure based on the calculated thermal gradients and solidification rates. The predicted microstructure shows a columnar dendritic structure with primary austenite and secondary ferrite phases. The ferrite content in the weld metal is predicted to be in the range of 8-15%, which is within the recommended range of 5-25% for resistance to solidification cracking and good mechanical properties. The predicted ferrite content aligns well with experimental measurements obtained through magnetic ferrite determination.

For 321 stainless steel, the titanium stabilization is critical for preventing intergranular sensitization during welding. The simulation predicts that the thermal cycle exposure above 500°C is limited to approximately 2-5 seconds at the fusion boundary, which is well below the sensitization threshold of approximately 30 seconds at 850°C. This confirms that the pulsed TIG process, when properly parameterized, produces welds with excellent resistance to intergranular corrosion.

Engineering Applications and Process Optimization

The numerical simulation approach enables systematic optimization of pulsed TIG welding parameters for specific applications. For thin plate cladding operations, the pulsed TIG process offers superior control over dilution compared to conventional TIG, as the peak current can be precisely controlled to achieve the desired penetration depth without excessive heat input. For example, when cladding 321 stainless steel onto carbon steel substrates, the pulsed TIG process can achieve dilution rates of 15-25% compared to 30-40% for conventional TIG, preserving the corrosion resistance of the overlay layer.

The study also demonstrates that the pulse frequency has a significant effect on weld bead profile. Higher frequencies (10-15 Hz) produce narrower, more uniform weld beads, while lower frequencies (5-8 Hz) produce wider beads with deeper penetration. For thin plate applications, higher frequencies are generally preferred to minimize distortion while maintaining full penetration.

Validation and Practical Recommendations

The simulation results are validated against experimental measurements of weld geometry, thermal cycles, and mechanical properties. The predicted weld width, penetration depth, and reinforcement height agree with experimental measurements within 10-15%, which is considered acceptable for process optimization purposes. The predicted cooling rates at various distances from the weld centerline also correlate well with thermocouple measurements, confirming the accuracy of the thermal model.

For practical implementation, I recommend that engineers use the numerical simulation as a tool for initial parameter selection, followed by limited experimental trial welds to validate and fine-tune the parameters. The simulation can reduce the number of trial welds by 50-70%, but it cannot completely replace experimental verification. Additionally, the simulation should be updated with material-specific properties obtained from the actual material lot being welded, as variations in chemical composition can significantly affect welding behavior.

Key Technical Insights

The research highlights several important technical points for pulsed TIG welding of thin stainless steel plates. First, the base current must be sufficient to maintain arc stability but low enough to avoid excessive heat input between pulses. Second, the peak current must be high enough to achieve full penetration but not so high as to cause excessive weld pool oscillation or burn-through. Third, the pulse frequency must be matched to the travel speed to ensure proper weld pool solidification between pulses. Fourth, the use of a small diameter tungsten electrode (1.6-2.4 mm) is essential for achieving the high current density required for stable pulsed operation.

Summary

This numerical simulation study of pulsed TIG welding of 06Cr18Ni11Ti stainless steel thin plates provides a rigorous computational framework for process optimization and parameter selection. The model accurately captures the key physical phenomena governing weld pool dynamics, heat transfer, and solidification behavior, and the simulation results are validated against experimental data. For engineers involved in cladding and pressure vessel fabrication, the pulsed TIG process represents a powerful tool for achieving high-quality welds on thin plates with minimal distortion and excellent metallurgical properties. The numerical simulation approach should be integrated into the welding procedure development workflow as a complementary tool to experimental trial welding, enabling faster procedure qualification and more informed process optimization decisions.