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STEEL PIPE · FITTING · WELDING TECHNICAL STUDY

Numerical Simulation of Submerged Arc Overlay Welding Considering Phase Transformation Induced Plasticity

Literature Overview

This paper by Huang Qingchun and colleagues from Liaoning University of Science and Technology (2021, Surface Technology, Vol. 50, No. 3, pp. 261-269) presents a comprehensive numerical simulation method for submerged arc overlay welding (SAW) of failed rolling mill rolls, incorporating phase transformation induced plasticity (TRIP) stress. The work was supported by the National Natural Science Foundation of China (Grants 51105187, 51205187) and other provincial funding sources. The study addresses a critical challenge in numerical simulation of welding processes: the coupling between temperature field, phase transformation, and mechanical stress, particularly the TRIP effect that occurs during martensitic transformation.

Methodology and Technical Framework

The study employed a multi-physics coupled approach using COMSOL Multiphysics platform, with material properties calculated using the CALPHAD (Calculation of Phase Diagram) method. The simulation framework includes:

Component Description
Material properties Calculated using CALPHAD method for temperature-dependent properties
Simulation platform COMSOL Multiphysics
Heat source model Double-ellipsoidal heat source
Physical fields Transient temperature field, martensite phase fraction, TRIP stress
Validation Metallographic observation using Zeiss Sigma HD field emission SEM

Key Simulation Results

Parameter Value
Maximum residual stress 376 MPa
Martensite phase fraction 94%
TRIP stress distribution Wider bandwidth near substrate side
Heat transfer rate Faster near substrate, slower in overlay layer

Phase Transformation Induced Plasticity (TRIP) Effect

The TRIP effect is a critical phenomenon in welding simulation that is often neglected in conventional thermal-mechanical analyses. During the cooling process, the austenite-to-martensite transformation causes a volume expansion (approximately 1-4% depending on composition). If this transformation occurs under a stress state that exceeds the yield strength of the material, plastic deformation occurs during the transformation, which is the TRIP effect.

TRIP Stress Characteristics

The paper identifies several important characteristics of TRIP stress in the overlay welding process:

  1. Spatial variation: The TRIP stress distribution is wider near the substrate side because the heat transfer rate is faster in this region, leading to more rapid martensitic transformation.
  2. Temporal evolution: The TRIP stress develops during cooling as the austenite transforms to martensite, and it partially relaxes the thermal stress.
  3. Phase fraction dependence: With 94% martensite phase fraction, the TRIP effect is significant and must be included in the stress analysis.

Comparison of Simulation Approaches

Approach TRIP Considered Accuracy Computational Cost
Conventional thermal-mechanical No Underestimates stress relaxation Lower
With TRIP coupling Yes More accurate stress prediction Higher
Full multiphysics (this study) Yes Most accurate Highest

Engineering Applications to Rolling Mill Roll Repair

Rolling mill rolls are critical components in steel production, and their failure requires rapid repair to minimize production downtime. The overlay welding repair process must address the following challenges:

Process Optimization Recommendations

Based on the simulation results, the following process parameters can be optimized to reduce residual stress and prevent cracking:

  1. Preheat temperature: Increasing preheat to 200-300°C reduces the peak thermal gradient and slows the cooling rate, which reduces the TRIP stress magnitude.
  2. Interpass temperature: Maintaining interpass temperature above 150°C allows partial stress relaxation between passes.
  3. Post-weld heat treatment: Tempering at 550-650°C for 2-4 hours can relieve residual stresses and temper the martensite to a more ductile structure.
  4. Weld sequencing: Using a multi-pass strategy with proper sequencing can distribute residual stresses more uniformly.

Model Validation and Limitations

The simulation results were validated against metallographic observations using Zeiss Sigma HD field emission SEM. The agreement between predicted and observed microstructures confirms the accuracy of the CALPHAD-based material property calculations and the multiphysics coupling approach.

However, several limitations should be acknowledged:

Key Reflections

The incorporation of TRIP stress into the welding simulation is a significant advancement over conventional thermal-mechanical analyses. The finding that the TRIP stress has a wider bandwidth near the substrate side is particularly important because this region is the most critical for overlay layer adhesion and cracking resistance. The faster heat transfer rate near the substrate, caused by the higher thermal conductivity of the base material compared to the overlay layer, leads to more rapid martensitic transformation and a more intense TRIP effect.

The maximum residual stress of 376 MPa is relatively moderate compared to the yield strength of typical overlay materials (which can exceed 800 MPa for martensitic steels). However, this value represents the stress after complete cooling, and the peak stress during the welding process may be significantly higher. The inclusion of TRIP stress in the analysis provides a more realistic prediction of the stress state, which is essential for predicting cracking and spalling behavior.

The CALPHAD-based approach to material property calculation is a powerful methodology that ensures thermodynamic consistency between phase fractions and material properties. However, the computational cost is significantly higher than using empirical property databases, and the accuracy depends on the quality of the thermodynamic database used. For industrial applications, a balance between computational efficiency and accuracy must be struck.