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Updated: Nov 6, 2025

Generating Lap Joints Via Friction Stir Spot Welding on DP780 Steel
Published on: August 13, 2019
Observation of microstructure evolution during inertia friction welding using in-situ synchrotron X-ray diffraction
Matthew Rowson1, Chris J Bennett1, Mohammed A Azeem2
1Gas Turbine and Transmissions Research Centre, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.
Inertia friction welding of high-carbon steel reveals non-equilibrium austenite transformation due to localized strains. This finding aids in optimizing welding parameters and developing advanced numerical models.
Area of Science:
- Materials Science
- Metallurgy
- Welding Engineering
Background:
- Inertia friction welding (IFW) is crucial for joining metals, but its development is hindered by limited understanding of deformation and microstructure.
- Accurate numerical models for IFW require detailed knowledge of phase transformations and lattice strains to optimize parameters and reduce experimental costs.
Purpose of the Study:
- To investigate the microstructure evolution during inertia friction welding (IFW) of high-carbon steel.
- To analyze phase transformations and lattice strains at the weld interface.
- To correlate process parameters with microstructural changes for improved modeling.
Main Methods:
- A novel compact rig was employed for in-situ synchrotron X-ray diffraction analysis.
- High-speed X-ray diffraction captured dynamic changes during IFW of BS1407 high-carbon steel.
- Thermal response and phase fractions were measured at the contact interface.
Main Results:
- The transformation of ferrite to austenite at the contact interface was observed in detail.
- Austenite transformation occurred at 500°C, significantly below the equilibrium start temperature of 725°C.
- Large localized strains at the interface were identified as a key factor in the non-equilibrium transformation.
Conclusions:
- Localized strains induced during IFW promote non-equilibrium phase transformations.
- The findings provide critical data for developing robust numerical models for IFW.
- Optimized process parameters can be determined, reducing the need for extensive experimental trials.
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