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CLADDING · BIMETAL PRODUCT · BIMETAL PRESSURE VESSEL TECHNICAL STUDY

Thermal-Flow Coupled Numerical Simulation of Ultrasonic Vibration-Assisted Friction Cladding

Literature Overview and Research Background

This study presents a thermal-flow coupled numerical simulation of ultrasonic vibration-assisted friction cladding (UV-FC), a hybrid solid-state welding process that combines friction stir welding (FSW) with ultrasonic vibration to achieve cladding of dissimilar metals. The process involves a rotating tool with an ultrasonic transducer mounted on the tool shaft, generating both rotational friction heat and ultrasonic longitudinal vibration simultaneously. The vibration introduces additional energy input, reduces the required axial force, and promotes material flow and bonding at the interface.

The significance of this research lies in addressing a fundamental challenge in cladding technology: achieving sound metallurgical bonding between dissimilar metals without melting. Conventional welding processes (TIG, MIG, plasma) inevitably create a molten pool, leading to intermetallic compound formation, dilution, and property degradation at the interface. Friction stir welding avoids melting but requires substantial axial force for dissimilar material combinations. Ultrasonic vibration assistance reduces this force requirement while enhancing bonding quality.

The numerical simulation employs a coupled thermal-mechanical model using finite element analysis (FEA), typically implemented in software such as Abaqus or Deform. The model accounts for the heat generation from friction, heat conduction, convection at the tool-workpiece interface, material flow due to tool rotation and ultrasonic vibration, and the thermomechanical evolution of the microstructure.

Core Technical Points and Simulation Methodology

The numerical model is built on several key assumptions and formulations:

Model Component Formulation/Assumption Key Parameters
Heat generation Q = τ·v·A (friction) + P_ultra·t (ultrasonic) Friction coefficient μ = 0.3–0.5; ultrasonic power 0.5–2 kW
Heat transfer Conduction (Fourier) + convection (Newton's law) h = 5–50 W/(m²·K) depending on contact condition
Material flow Eulerian or Arbitrary Lagrangian-Eulerian (ALE) mesh Mesh size 0.1–0.5 mm in deformation zone
Constitutive model Johnson-Cook or Arrhenius-type flow stress A, B, n, C, D parameters for each material
Ultrasonic vibration Superimposed harmonic displacement on tool axis Frequency 20 kHz, amplitude 5–20 μm
Contact Penalty method or Lagrange multipliers Friction coefficient varies with temperature

The thermal model captures the temperature distribution in the workpiece during cladding. The peak temperature in the deformation zone (stir zone) typically reaches 0.6–0.8 Tm (homologous temperature), well below the melting point, confirming the solid-state nature of the process. The ultrasonic vibration contributes an additional 5–15% to the peak temperature through cyclic plastic deformation heating.

The flow model describes the material displacement pattern around the tool. The tool geometry (shoulder diameter, pin diameter, pin length, and pin profile) critically influences the material flow and cladding quality. The ultrasonic vibration introduces an additional material flow component in the axial direction, enhancing the mixing and bonding at the cladding interface.

Key Simulation Results and Parameter Optimization

The simulation reveals several important relationships between process parameters and cladding quality:

Effect of ultrasonic amplitude: Increasing the ultrasonic amplitude from 5 μm to 20 μm reduces the required axial force by 30–50% while increasing the peak temperature by 20–40°C. The material flow in the axial direction increases proportionally with amplitude, improving the bonding at the cladding interface. However, amplitudes above 25 μm can cause tool wear acceleration and potential delamination due to excessive material flow.

Effect of tool rotational speed: The rotational speed (typically 500–1500 rpm for aluminum alloys, 200–600 rpm for steels) controls the heat input and material flow rate. Higher speeds increase the peak temperature and reduce the flow stress, facilitating material deformation but risking overheating and grain coarsening.

Effect of traverse speed: The traverse speed (10–100 mm/min) determines the heat input per unit length. Lower speeds produce higher temperatures and more extensive material flow, while higher speeds risk incomplete bonding and reduced cladding thickness.

Effect of tool geometry: The shoulder diameter (typically 1.5–2.5× pin diameter) controls the forging action and heat generation. The pin profile (truncated cone, cylindrical, threaded) influences the material flow pattern and the quality of the cladding interface.

The simulation also predicts the temperature field evolution over time, showing that the temperature reaches a quasi-steady state after approximately 3–5 seconds of tool dwell at any given location. The thermal cycle experienced by the cladding material is characterized by a peak temperature of 350–500°C (for aluminum alloy cladding on steel) and a cooling rate of 1–10°C/s depending on the material combination.

Comparison with Experimental Data and Validation

Numerical simulations must be validated against experimental measurements. Typical validation approaches include:

  1. Thermocouple measurements: Embedded thermocouples at various depths measure the temperature history, which is compared with the simulated temperature curves. Agreement within 10–15% is considered acceptable.
  2. Macroscopic bead geometry: The cladding thickness, width, and surface profile measured from cross-sections are compared with the simulated material flow boundaries.
  3. Microstructural analysis: Optical microscopy and SEM images of the cladding interface are compared with the simulated thermomechanical processing history (TTH) to verify that the predicted microstructural evolution is consistent with observations.
  4. Bond strength testing: Lap shear or push-out tests measure the interfacial bond strength, which correlates with the predicted strain and strain rate at the interface.

Engineering Practice Integration and Defect Analysis

From a manufacturing perspective, UV-FC offers several advantages over conventional cladding methods:

However, several defects can occur:

Defect Type Cause Countermeasure
Tunnel defect Insufficient material flow under the pin Increase axial force or reduce traverse speed
Void formation Incomplete consolidation at the interface Increase ultrasonic amplitude or tool dwell time
Excessive material flow Excessive heat input or ultrasonic power Reduce rotational speed or ultrasonic amplitude
Tool wear Hard particle wear in the overlay material Use harder tool materials (YG15, cermets) or reduce parameters
Surface irregularity Unstable material flow at the surface Optimize shoulder geometry and cooling conditions

Study Insights and Implications

This numerical simulation study provides a powerful tool for optimizing UV-FC process parameters before expensive experimental trials. The coupled thermal-flow model captures the essential physics of the process and enables prediction of cladding quality metrics such as temperature distribution, material flow patterns, and potential defect formation. The key insight is that ultrasonic vibration fundamentally changes the material flow behavior by introducing an additional axial flow component that enhances interface bonding without requiring excessive thermal input. For industrial applications, this process is particularly promising for cladding of dissimilar metal combinations (e.g., aluminum on steel, copper on steel) where conventional welding produces unacceptable intermetallic compounds. The simulation methodology can be extended to include microstructural evolution models (such as recrystallization kinetics and grain growth models) to predict the final microstructure and mechanical properties of the cladding, providing a complete process design framework from parameters to properties.