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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Multi-Field Coupled Numerical Simulation of Submerged Arc Welding Overlay on Rolling Mill Rolls

Literature Overview

This paper by Li Chang, Huang Qingchun, Chen Xinxue, Liu Zhaotai, and Han Xing from Liaoning University of Science and Technology, published in the journal China Surface Engineering in 2021, addresses a critical engineering challenge in the surface hardening of rolling mill rolls. The study focuses on developing a multi-field coupled numerical simulation methodology for the submerged arc welding (SAW) overlay process applied to rolling mill roll shells. Rolling mill rolls are subjected to extreme thermomechanical loading during steel rolling operations, and the selection of overlay material, process parameters, and the resulting residual stress distribution directly determine the service life and surface integrity of the roll. The research was supported by the National Natural Science Foundation of China (Grant Nos. 50402/51105187), the Ministry of Public Security Fire Key Laboratory Open Project (KF201704), the Liaoning Provincial Natural Science Foundation (2019ZD0277), and additional institutional funding sources.

Core Technical Approach

The central contribution of this work lies in the development of a coupled thermal-mechanical-electromagnetic numerical model that captures the complex interactions occurring during the SAW overlay of rolling mill rolls. Unlike conventional single-field simulations, this multi-field approach integrates:

The simulation framework employs finite element methods with adaptive mesh refinement to capture the moving heat source accurately. The moving heat source model typically incorporates a double-ellipsoidal or Gaussian distribution, calibrated against experimental macrographs of the weld bead cross-sections.

Key Technical Parameters and Process Windows

The following table summarizes the typical process parameters and material selections considered in SAW overlay of rolling mill rolls, which form the boundary conditions for the numerical simulation:

Parameter Typical Range Influence on Overlay Quality
Base material 40Cr, 45CrNiMo Determines substrate hardness and thermal conductivity
Overlay material Cr-Mo alloy steel, high-speed steel Controls wear resistance and hot hardness
Arc current (I) 600–1000 A Governs penetration depth and dilution ratio
Welding voltage (U) 28–38 V Affects bead width and surface profile
Travel speed (v) 300–600 mm/min Determines heat input and cooling rate
Flux coverage 30–50 mm thickness Controls cooling rate and slag composition
Interpass temperature 150–250 °C Manages residual stress accumulation
Preheating temperature 200–350 °C Reduces thermal gradient and cracking risk

The heat input per unit length, calculated as Q = U × I / v, typically ranges from 1.4 to 2.5 kJ/mm for rolling mill roll overlay applications. This parameter is critical because it directly influences the dilution ratio between the overlay and base metal, which in turn governs the hardness profile and the formation of martensite in the heat-affected zone.

Residual Stress Analysis and Engineering Implications

One of the most significant findings from multi-field coupled simulations is the prediction of residual stress patterns in the overlay layer. During SAW overlay, the rapid heating and subsequent cooling of the weld zone generates significant tensile residual stresses in the overlay layer, particularly in the transverse direction. These stresses can reach values of 200–400 MPa near the fusion boundary, depending on the number of passes, the thermal expansion coefficient mismatch, and the constraint imposed by the surrounding base metal.

The residual stress distribution has profound implications for the service performance of the overlay:

  1. Cracking susceptibility: High tensile residual stresses combined with hydrogen diffusion from the welding flux can initiate cold cracks in the weld metal or heat-affected zone, particularly in high-carbon overlay materials such as high-speed steel.
  2. Fatigue life reduction: Tensile residual stresses at the surface of the overlay layer reduce the fatigue threshold and can initiate surface cracks under cyclic loading during rolling operations.
  3. Dimensional stability: Residual stresses cause distortion of the roll shell, which may require post-weld machining to restore dimensional tolerances, increasing manufacturing cost.

Defect Analysis and Countermeasures

The following table presents common defects identified in SAW overlay of rolling mill rolls, along with their root causes and recommended countermeasures:

Defect Type Root Cause Detection Method Countermeasure
Cracking (cold) High carbon equivalent, rapid cooling, hydrogen MT, PT Preheat to 250–350 °C, use low-hydrogen flux, post-weld tempering
Cracking (hot) Low melting point phases at grain boundaries MT, PT Adjust flux composition, control Si/S ratio in overlay
Porosity Gas evolution from flux or base metal RT, UT Dried flux storage, clean base metal surface
Incomplete fusion Insufficient heat input, excessive travel speed UT, MT Increase current, reduce travel speed
Excessive dilution Too high heat input, too few passes Metallography Reduce heat input, use more passes with thinner deposits
Hardness unevenness Inconsistent process parameters between passes Hardness survey Automated welding with constant parameters

Simulation Validation and Practical Integration

The validity of the numerical model is typically verified through comparison with experimental data obtained from thermocouple measurements, strain gauge readings, and X-ray diffraction residual stress measurements. The thermal simulation is validated by comparing predicted cooling rates at specific locations with measured values, while the mechanical simulation is validated by comparing predicted residual stress distributions with X-ray measurements.

In practical engineering applications at rolling mill maintenance workshops, the simulation results guide the following decisions:

Study Insights and Reflections

The multi-field coupled simulation approach represents a significant advancement over traditional empirical methods for optimizing the SAW overlay process. However, several challenges remain in translating simulation results into reliable engineering predictions. The accuracy of the model depends heavily on the quality of input material properties, which are often temperature-dependent and may vary between different heats of the same nominal grade. Additionally, the coupling between the electromagnetic field and the thermal field introduces significant computational complexity, requiring advanced solvers and substantial computational resources.

From a practical standpoint, the simulation results should be used as a decision-support tool rather than a replacement for qualified welding procedure qualification and destructive testing. The model provides valuable insights into the underlying physical mechanisms, enabling engineers to make informed decisions about process parameter optimization and defect prevention strategies.

This work demonstrates that numerical simulation, when properly calibrated and validated, can significantly reduce the trial-and-error cycle in developing new overlay welding procedures for critical rolling mill components. The integration of simulation-based optimization with traditional welding procedure qualification represents a robust approach to ensuring overlay quality while reducing development time and cost. Future work should focus on incorporating microstructure evolution models into the coupled simulation framework to predict not only residual stress but also the resulting hardness, toughness, and wear resistance profiles across the overlay layer, thereby providing a more comprehensive tool for process optimization.