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STEEL PIPE · FITTING · WELDING TECHNICAL STUDY

Numerical Simulation of Stress Field During Plunger Surfacing Welding Process Using ANSYS

Literature Overview

This paper, published in Industrial Heating (2017, Vol. 46, No. 5, pp. 37–39), presents a finite element analysis (FEA) of the welding stress field during the surfacing process on plunger surfaces using ANSYS software. The study simulates the welding process at different welding speeds and compares the resulting stress field distributions to provide a basis for process improvement and structural modification. The research was conducted at the Automotive Engineering Institute of Shaanxi National Defense Industry Vocational and Technical College.

Core Technical Findings

Numerical Simulation Methodology

The ANSYS-based simulation employs a sequential coupled thermo-mechanical analysis approach:

  1. Thermal analysis: Simulates the heat input and temperature distribution during the moving heat source (welding arc) traversing the plunger surface
  2. Mechanical analysis: Transfers the temperature field to the structural model to calculate thermal stresses, plastic deformations, and residual stresses

The moving heat source is typically modeled using a Gaussian or double-ellipsoidal distribution to represent the arc heat flux. The surfacing layer is introduced progressively as the heat source moves, simulating the actual deposition of welding material.

Stress Field Characteristics

Welding Speed Peak Residual Stress Stress Distribution Pattern Distortion Magnitude
Low speed High Wide stress zone, deeper penetration Large
Medium speed Moderate Balanced stress distribution Moderate
High speed Lower peak Narrow stress zone, shallow penetration Small

The simulation reveals that welding speed is the primary parameter governing the magnitude and distribution of residual stresses in the surfacing layer and adjacent base material.

Key Stress Observations

Engineering Practice Integration

Plunger Surfacing Applications

Plungers are critical components in hydraulic systems, injection molding machines, and pumps. Surfacing is commonly applied to:

The residual stress state after surfacing directly affects the plunger's fatigue life, dimensional stability, and resistance to cracking during subsequent machining or service.

Process Optimization Based on Simulation Results

The simulation results provide clear guidance for process optimization:

  1. Speed selection: Medium welding speeds offer the best balance between deposition rate and stress control
  2. Heat input management: Lower heat input (achieved through higher speed or lower current) reduces peak temperatures and subsequent thermal stresses
  3. Preheating strategy: Preheating the plunger reduces the thermal gradient between the base material and the weld zone, lowering residual stress magnitude
  4. Post-weld heat treatment: Stress relief annealing at 550–650°C for carbon steel plungers can reduce residual stresses by 60–80%

FEA Validation Considerations

Validation Method Accuracy Cost Applicability
Strain gauge measurement High Moderate Surface stresses only
X-ray diffraction High High Near-surface residual stresses
Neutron diffraction Very high Very high Deep residual stresses
Hole-drilling method Moderate Low Surface and shallow stresses
Simulation comparison Indirect Low Qualitative validation

Key Questions and Reflections

The study raises an important question about the accuracy of the thermal-mechanical coupling model. The sequential coupling approach assumes that mechanical effects do not significantly influence the thermal field, which is generally valid for surfacing but may not hold for very high heat input conditions or thick multi-pass builds.

Another consideration is the material model used for the surfacing layer. The simulation likely uses the base material properties for the deposited metal, which may not accurately represent the actual composition and properties of the weld metal, especially for alloy surfacing consumables.

The study also does not address the effect of surfacing layer thickness on the stress distribution. Multi-pass surfacing with increasing layer thickness may produce different stress states than single-pass surfacing, particularly due to the interaction between successive passes.

Study Insights and Implications

This research demonstrates the value of numerical simulation as a tool for understanding and optimizing surfacing welding processes on critical components. The key insight is that welding speed serves as the primary lever for controlling residual stress magnitude, providing a practical parameter for process engineers to optimize.

For plunger manufacturers and repair shops, the simulation-based approach offers a pathway to reduce cracking and distortion problems through informed parameter selection. The ability to predict stress fields before physical trials reduces development time and cost. Future work should incorporate material-specific weld metal properties, multi-pass build simulations, and experimental validation through residual stress measurement techniques.