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CLADDING TECHNOLOGY SHANXI CO., LTD
CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Computer Simulation of Residual Stress Fields in Weld Overlay Cladding

Literature Overview

This study note addresses the computational modeling of residual stress fields in weld overlay cladding operations. Residual stresses arising from the non-uniform thermal cycling during multi-pass cladding have profound effects on the mechanical performance, fatigue life, and dimensional stability of cladded components. The literature reviews finite element (FE) simulation methodologies for predicting residual stress distributions, comparing numerical results with experimental measurements obtained through X-ray diffraction, neutron diffraction, and hole-drilling methods. Understanding and controlling residual stresses is essential for preventing delayed cracking, distortion, and premature fatigue failure in cladded pressure vessels and structural components.

Thermal-Mechanical Coupled Simulation Approach

The simulation of residual stresses in cladding welds employs a sequentially coupled thermal-mechanical approach. In the first stage, a moving heat source model simulates the welding thermal cycle, computing temperature distributions throughout the weld sequence. In the second stage, the temperature field from the thermal analysis is used as thermal loading input to a mechanical analysis that computes stress and deformation based on the material's elastic-plastic constitutive behavior and temperature-dependent properties.

The following table summarizes key simulation parameters and material properties typically employed:

Parameter Typical Value/Range Units Source/Standard
Heat Source Model Double-ellipsoid (Goldak) — Goldak et al. (1984)
Heat Input 2–10 kJ/mm Process-dependent
Thermal Conductivity (steel) 25–50 (T-dependent) W/(m·K) ASME II
Specific Heat (steel) 450–750 (T-dependent) J/(kg·K) ASME II
Yield Stress (overlay) 300–600 MPa Material spec
Yield Stress (base metal) 250–450 MPa Material spec
Poisson's Ratio 0.3 — Standard
Thermal Expansion Coefficient 11–17×10⁻⁶ 1/K Temperature-dependent
Mesh Size (near weld) 1–2 mm Convergence study
Mesh Size (far field) 10–20 mm Boundary effect

Residual Stress Distribution Patterns

Simulation results consistently reveal characteristic residual stress patterns in multi-pass cladding welds. The longitudinal residual stress along the weld centerline is typically tensile, reaching values of 200–400 MPa in the overlay and 100–250 MPa in the adjacent base metal HAZ. The transverse residual stress exhibits a more complex distribution, with tensile peaks near the weld edges and compressive zones in the center. The through-thickness stress distribution shows tensile residual stresses near the top surface and bond line, with compressive stresses in the middle layers—a pattern that can promote delamination if the bond strength is insufficient.

The literature demonstrates that the residual stress field is highly sensitive to welding sequence, interpass temperature, and number of passes. A systematic study of welding sequences shows that symmetric welding patterns (alternating left-right passes) produce lower overall residual stresses compared to sequential unidirectional patterns. The maximum residual stress reduction achieved by optimized welding sequences can reach 30–50% compared to unoptimized sequences.

Experimental Validation and Simulation Accuracy

Validation of simulation results against experimental measurements is essential for establishing model credibility. The literature reports typical accuracy levels of ±30–50 MPa for longitudinal residual stresses and ±40–60 MPa for transverse stresses when comparing FE predictions with X-ray diffraction measurements. The primary sources of discrepancy include simplifications in the heat source model, assumptions about material property temperature dependence, and the neglect of phase transformation effects (austenite-to-martensite transformation in high-carbon overlays).

A key finding from the literature is the importance of accurately modeling the plastic strain behavior during cooling. The Bauschinger effect (reverse yielding) during thermal contraction significantly influences the final residual stress state, and its omission in simplified elastic-plastic models can lead to errors exceeding 100 MPa. Advanced constitutive models incorporating kinematic hardening (such as Chaboche models) improve prediction accuracy substantially.

Stress Relief Strategies and Their Simulation

The literature evaluates various stress relief strategies through simulation, including post-weld heat treatment (PWHT), mechanical stress relief (shot peening, roller burnishing), and process-based approaches (interpass heating, back-rolling). Simulation results indicate that conventional PWHT at 550–650 °C can reduce peak residual stresses by 60–80%, but the effectiveness depends on the achievable temperature uniformity and the material's creep resistance at the relief temperature.

Mechanical stress relief methods produce more localized effects—shot peening introduces compressive residual stresses in the top 0.5–1.5 mm of the overlay surface, which can improve fatigue life but does not significantly affect the deep residual stress field. The literature recommends a combination of process optimization (symmetric welding sequences, controlled interpass temperatures) followed by PWHT for critical applications where residual stress control is paramount.

Study Insights and Engineering Implications

The computer simulation of residual stress fields in cladding welds provides engineers with a powerful tool for predicting and controlling stress-related failures before they occur. However, simulation must be viewed as a complement to, not a replacement for, experimental validation. The accuracy of predictions depends critically on the quality of material property data, the fidelity of the heat source model, and the appropriate treatment of phase transformations. Engineers should adopt a tiered approach: use simplified models for preliminary design and sequence planning, and employ validated detailed models for critical components where residual stress directly affects service performance. The integration of simulation results with non-destructive testing data and in-service monitoring provides a comprehensive framework for ensuring the structural integrity of cladded components throughout their operational life.