Residual Stress Measurement Techniques in Engineering and Advanced Materials

Residual stresses are self‐equilibrating stresses locked into engineering components and advanced materials in the absence of external loads. Their magnitude and distribution influence fatigue life, dimensional stability and structural integrity across applications ranging from aerospace structures and fusion reactor components to microelectromechanical systems and composite laminates. Measurement techniques broadly fall into mechanical relaxation methods, diffraction-based approaches and emerging micro-scale or computational hybrids. Mechanical relaxation methods, such as hole drilling, blind-hole testing and contour techniques, rely on controlled removal of material to induce strain relief that can be back-calculated into subsurface stresses. Diffraction methods employ X-ray, neutron or electron diffraction to measure lattice strains non-destructively. Surface-curvature methods and ultrasonic wave techniques complement these by probing near-surface or bulk stresses. Recent innovations include micro-cantilever release for thin films, laser-based speckle techniques and machine learning frameworks that integrate high-resolution data with microstructural models. Finite element analysis and probabilistic algorithms now enable uncertainty quantification and real-time prediction, accelerating design optimisation and quality assurance in critical structural systems.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Residual Stress Measurement Techniques in Engineering and Advanced Materials publication trend

The graph below shows the total number of articles in residual stress measurement techniques in engineering and advanced materials across all publications each year (not limited to Nature Index journals).

Technical terms

Residual stress: Internal stress present within a material in the absence of external loading.

Hole drilling method: A mechanical relaxation technique in which incremental drilling induces strain relief allowing back-calculation of subsurface stresses.

Blind-hole technique: A variation of hole drilling involving the creation of a single partial‐depth hole, calibrated to infer local residual stresses.

Diffraction method: A non-destructive approach using diffraction of X-rays, neutrons or electrons to determine lattice strains and infer material stresses.

Gaussian Process Regression: A probabilistic machine learning framework providing statistical predictions and uncertainty estimates for fitted data such as strain measurements.

Digital image correlation: An optical method tracking surface deformations to measure strain fields with high spatial resolution.

References

1. Machine learning powered predictive modelling of complex residual stress for nuclear fusion reactor design. Materials & Design (2024).
2. Implementation of Gaussian Process Regression to strain data in residual stress measurements by hole drilling. Measurement (2023).
3. Using Iterative Correction to Improve the Accuracy of the Blind-Hole Welding Residual Stress Test. Sensors (2024).
4. New avenues for residual stress analysis in ultrathin atomic layer deposited free-standing membranes through release of micro-cantilevers. Heliyon (2024).
5. Remarks on Residual Stress Measurement by Hole‐Drilling and Electronic Speckle Pattern Interferometry. The Scientific World JOURNAL (2014).