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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Numerical Simulation of Residual Stress Field During Plunger Weld Overlay Using ANSYS

Literature Overview

This study, authored by Zhang Guozheng from Shaanxi National Defense Industry Vocational and Technical College, presents a finite element analysis of the residual stress distribution in plungers subjected to weld overlay (cladding) processes. The work was published in 2017 in a journal related to industrial heating and welding technology. The research addresses a practical engineering challenge: plungers used in hydraulic systems and injection equipment require hardfacing or corrosion-resistant overlay layers, yet the thermal cycling inherent in welding introduces complex residual stress fields that can compromise dimensional accuracy, fatigue life, and functional performance.

Core Technical Approach

The numerical simulation employs ANSYS as the primary computational platform, utilizing coupled thermo-mechanical analysis to model the sequential deposition of overlay weld passes. The key methodology involves:

Key Technical Parameters

Parameter Category Typical Values / Description
Base material Medium carbon steel or low-alloy steel (e.g., 45#, 42CrMo)
Overlay material Hardfacing alloy or stainless steel (e.g., Stellite, 304/316)
Welding process GTAW or GMAW overlay
Heat input 0.5–2.5 kJ/mm (depending on process)
Number of passes 2–5 layers
Preheating temperature 150–300 °C
Interspass temperature ≤ 250 °C (controlled to limit stress accumulation)
Mesh density 0.5–1.0 mm element size in weld region

Residual Stress Analysis and Interpretation

The simulation results typically reveal several critical patterns:

  1. Peak tensile residual stresses develop in the weld metal and heat-affected zone (HAZ), often reaching values of 200–400 MPa, depending on the material combination and process parameters.
  2. Compressive stresses are induced in the base metal adjacent to the weld to satisfy equilibrium conditions.
  3. Stress concentration occurs at the dilution interface between the overlay layer and base metal, particularly when there is a significant mismatch in thermal expansion coefficients.
  4. Multi-pass effects show that later passes partially relieve stresses from earlier passes through thermal recovery, but cumulative stress still increases with each additional layer.

Engineering Implications and Practice Integration

In plunger manufacturing, residual stress management is critical because:

Recommended Countermeasures

Strategy Implementation Details
Low-heat-input welding Use GTAW with reduced current, short arc length
Multi-pass with reverse sequence Balance thermal input symmetrically about the axis
Post-weld stress relief Solution annealing at 550–650 °C for 2–4 hours, or shot peening
Interpass temperature control Maintain ≤ 200 °C between passes to limit plastic strain accumulation
Constraint optimization Use flexible fixtures rather than rigid clamps to allow controlled expansion

Key Questions and Reflections

The study raises important questions about the fidelity of numerical predictions versus experimental measurements. In practice, the actual residual stress field may deviate from simulation results due to:

The engineering value of such simulations lies not in absolute prediction accuracy but in identifying stress trends and optimizing process parameters to minimize detrimental effects. A parametric study varying heat input, pass sequence, and preheat temperature can provide actionable guidance for process design.

Study Insights and Conclusion

This work demonstrates the power of finite element simulation as a tool for understanding and controlling residual stresses in weld overlay applications. For plunger manufacturers, the ability to predict stress distributions before committing to production welding represents a significant quality improvement opportunity. The findings underscore that overlay welding is not merely a surface treatment but a complex metallurgical process that must be engineered with the same rigor as structural welding. Engineers should integrate simulation-based process optimization into their quality planning, using numerical results to guide preheat selection, pass sequencing, and post-weld treatment decisions, thereby reducing scrap rates and improving product reliability in demanding hydraulic service applications.