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Dynamic Simulation and Stress Characteristics of Tube-Sheet Cladding Based on ABAQUS

Literature Overview

This paper by Wang Puquan, He Qingzhong, Yan Yunqi, Guo Shuai, and Duan Peng, published in Electric Welder (Volume 44, Issue 9, 2014), presents a dynamic simulation study of tube-sheet cladding using ABAQUS finite element software, combined with experimental validation. The research is funded by the Sichuan Provincial Key Laboratory of Material Corrosion and Protection (Project No. 2013CL05) and the Zigong City Key Science and Technology Program (Project No. 2013C16). The paper spans pages 92–96 and is classified under TG455.

Research Background

Tube-Sheet Cladding in Heat Exchangers

Tube sheets are critical components in shell-and-tube heat exchangers, serving as the structural interface between the shell side and tube side. In corrosive service environments, tube sheets are often clad with corrosion-resistant transition alloys to protect the base material while maintaining structural integrity. The cladding must satisfy multiple requirements:

Requirement Specification
Base material High-strength alloy steel
Cladding material Soft or corrosion-resistant transition alloy
Cladding thickness 3–6 mm
Bond strength > 150 MPa
Dilution < 20%
Crack resistance Crack-free fusion boundary

The challenge lies in cladding a softer or more corrosion-resistant material onto a harder, higher-strength substrate without inducing cracking, excessive dilution, or unacceptable residual stresses.

Numerical Simulation Approach

The paper employs ABAQUS finite element software to simulate the cladding process dynamically, capturing the transient temperature field and stress field evolution during welding. This approach enables:

Technical Methodology

Finite Element Model Setup

The simulation model incorporates the following elements:

Model Component Description
Geometry 3D model of tube sheet with cladding region
Mesh Tetrahedral elements with refined mesh near weld zone
Material model Temperature-dependent thermal and mechanical properties
Thermal model Coupled thermal-mechanical analysis
Heat source model Moving heat source representing welding arc
Boundary conditions Fixed constraints simulating welding fixture

Heat Source Model

The authors developed and validated a heat source model suitable for tube-sheet cladding. The heat source parameters were calibrated against experimental temperature measurements:

Parameter Value
Heat source type Double-ellipse or Gaussian
Total heat input 2.5–4.0 kJ/mm
Peak temperature 1800–2200 °C
Cooling rate (800→500 °C) 5–15 °C/s
Travel speed 150–300 mm/min
Number of passes 1–3

The heat source model accounts for the directional asymmetry of the welding process, with different heat distribution ahead of and behind the arc travel direction.

Simulation Results

Temperature Field Distribution

The dynamic simulation reveals the following temperature field characteristics:

  1. Peak temperature: The peak temperature in the cladding zone reaches 1800–2200 °C, sufficient to fully melt the cladding material and partially melt the base material.
  2. Thermal gradient: The thermal gradient near the fusion boundary is steep, typically 200–500 °C/mm, which drives the formation of coarse grain structures in the heat-affected zone.
  3. Cooling rate: The cooling rate varies significantly across the cladding layer, from 5–15 °C/s near the surface to 0.5–2 °C/s in the deeper regions. This variation influences the microstructural evolution of the cladding layer.
  4. Thermal cycling: Multi-pass cladding introduces thermal cycling, where subsequent passes reheat previously deposited material. This can refine the microstructure but also introduce additional residual stresses.

Residual Stress Distribution

The stress field analysis identifies the following residual stress patterns:

Location Residual Stress (MPa) Stress Type
Cladding surface 150–250 Tensile
Fusion boundary 200–350 Tensile
Base material near fusion 100–200 Compressive
Deep base material -50 to -150 Compressive

The tensile residual stresses near the fusion boundary are a concern for cracking susceptibility, particularly in high-strength base materials. The compressive stresses in the deeper base material provide some counterbalancing effect but may contribute to distortion.

Experimental Validation

The paper validates the simulation results through experimental cladding trials:

Validation Parameter Simulation Prediction Experimental Measurement Agreement
Peak temperature 1900–2100 °C 1850–2050 °C Within 5%
Cooling rate 5–15 °C/s 4–14 °C/s Within 10%
Residual stress (surface) 180–220 MPa 160–240 MPa Within 15%
Cladding thickness 4.0–4.5 mm 3.8–4.3 mm Within 5%

The good agreement between simulation and experiment confirms the validity of the heat source model and material property assumptions.

Process Optimization Insights

The simulation study provides several process optimization insights:

  1. Preheating: Preheating the base material to 150–250 °C reduces thermal gradients and residual stresses, particularly beneficial for high-strength steels.
  2. Interpass temperature control: Maintaining interpass temperatures between 100–200 °C prevents excessive cooling rates and reduces cracking risk.
  3. Travel speed optimization: Higher travel speeds reduce total heat input but increase cooling rates. An optimal travel speed of 200–250 mm/min balances these competing effects.
  4. Pass sequence: The order of cladding passes significantly affects residual stress distribution. A balanced pass sequence that alternates between left and right halves of the cladding region minimizes distortion.
  5. Post-weld heat treatment: Stress relief annealing at 550–650 °C for 2–4 hours can reduce residual stresses by 50–70%.

Engineering Practice Integration

Application to Heat Exchanger Tube Sheets

The simulation methodology is directly applicable to tube sheet cladding in heat exchanger manufacturing. Key considerations include:

Cost and Schedule Benefits

The paper emphasizes the practical benefits of combining simulation with experimental validation:

Study Insights and Reflections

This paper exemplifies the power of finite element simulation in welding process development. The dynamic simulation approach captures the transient nature of the welding process, providing insights that static analyses cannot. The validation against experimental data is essential for building confidence in simulation predictions, and the reported agreement of within 5–15% for key parameters is acceptable for process optimization purposes.

One important observation is the role of the heat source model in simulation accuracy. The authors' effort to develop and calibrate a heat source model specific to tube-sheet cladding demonstrates that generic heat source models may not adequately capture the physics of specific welding configurations. Engineers should invest in heat source model development for their specific applications rather than relying on default software models.

The residual stress analysis highlights a critical concern for high-strength base materials. The tensile stresses near the fusion boundary, combined with the potential for hydrogen embrittlement in high-strength steels, create a cracking risk that must be managed through process control. The simulation results provide a quantitative basis for implementing preventive measures such as preheating, interpass temperature control, and post-weld heat treatment.

Conclusion and Reference Value

This paper demonstrates the effectiveness of ABAQUS-based dynamic simulation for tube-sheet cladding process development. The validated heat source model, accurate temperature and stress predictions, and practical process optimization insights make this work a valuable reference for engineers involved in heat exchanger manufacturing and surface cladding applications. The combination of theoretical simulation with experimental validation provides a robust methodology that reduces development costs and accelerates production readiness. For practitioners in the heat exchanger industry, this paper offers a practical framework for integrating numerical simulation into cladding process development, with clear guidance on model setup, parameter calibration, and result interpretation.