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Thermal-Mechanical and Microstructural Simulation of Rotary Friction Welding Processes by Using Finite Element Method
Hossein Mani1, Aboozar Taherizadeh1, Behzad Sadeghian1
1Department of Materials Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran.
Materials (Basel, Switzerland)
|February 24, 2024
Summary
Finite element method simulations accurately predict thermomechanical and microstructural changes during rotary friction welding of Inconel 718 tubes, reducing experimental costs.
Area of Science:
- Materials Science and Engineering
- Mechanical Engineering
- Computational Materials Science
Background:
- Rotary friction welding is vital for joining components in advanced industries.
- Experimental measurement of thermomechanical and microstructural parameters is challenging and costly.
- Superalloys like Inconel 718 are critical in high-performance applications.
Purpose of the Study:
- To simulate the thermomechanical and microstructural evolution during rotary friction welding of Inconel 718 tubes using the finite element method.
- To reduce the cost and complexity associated with experimental analysis.
- To establish a correlation between thermomechanical and microstructural parameters.
Main Methods:
- Finite element method (FEM) for thermomechanical and microstructural simulation.
- Johnson-Avrami model implemented via FORTRAN subroutine for microstructural analysis.
- Verification of simulation results against experimental data.
Main Results:
- Numerical simulations accurately predicted temperature, strain, strain rate, dynamic recrystallization, and grain size distribution.
- Calculated recrystallization zone thickness (480-850 μm) closely matched experimental values (500-800 μm).
- Predicted grain size (2.07-2.15 μm) aligned with experimental measurements (1.9-2.2 μm).
Conclusions:
- FEM simulation is a cost-effective and reliable tool for analyzing rotary friction welding of Inconel 718.
- The study demonstrates predictable microstructure evolution correlated with thermomechanical changes.
- The developed model provides insights into optimizing welding parameters for desired material properties.
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