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09:17
Surrogate Model Development for Digital Experiments in Welding
Published on: March 28, 2025
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Residual Stress Analysis in Linear Friction Welded Ti17
Peng He1,2, Yunxin Wu1,2, Tao Zhang1,2
1Light Alloy Research Institute, Central South University, Changsha 410083, China.
Materials (Basel, Switzerland)
|September 28, 2024
Summary
Linear friction welding of Ti17 creates complex residual stresses. Welding parameters like amplitude and frequency influence stress distribution, while a new method predicts internal stresses from surface measurements.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Modeling
Background:
- Linear friction welding (LFW) of titanium alloys like Ti17 introduces complex residual stress distributions.
- These stresses significantly impact the mechanical properties and service performance of welded components.
Purpose of the Study:
- To develop a numerical model for LFW of Ti17 to study residual stress evolution.
- To investigate the influence of welding parameters on residual stress.
- To establish a method for predicting internal residual stresses based on surface measurements.
Main Methods:
- Development of a finite element model for simulating the LFW process of Ti17.
- Parametric study involving variations in welding amplitude, frequency, and forging force.
- Correlation analysis between simulated internal residual stresses and experimentally measurable surface residual stresses.
Main Results:
- Residual stresses exhibit a complex distribution, peaking in the oscillatory direction near the contact interface (~661 MPa at 2 mm).
- Stress evolution is governed by thermal gradients and forging force, stabilizing during forging.
- Increased amplitude and frequency enhance tensile residual stresses; increased forging force reduces their magnitude.
Conclusions:
- Welding parameters critically control residual stress states in LFW Ti17.
- The developed prediction method offers a viable approach to estimate internal residual stresses from surface data.
- Understanding and predicting residual stresses are crucial for optimizing LFW processes and ensuring structural integrity.
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