Residual Stress Characterization

The Engineered Residual Stress Implementation (ERSI) Working Group Residual Stress Characterization Committee is a dynamic assembly of experts proficient in an extensive array of residual stress measurement and process modeling techniques. Our mission is to provide unwavering support to ERSI stakeholders, encompassing end users and aircraft programs, as they navigate the intricate landscape of designing and executing tailored residual stress implementation initiatives.

As a well-established group of professionals specializing in residual stress measurement and process modeling, we offer a comprehensive suite of services that includes:

1. Repeatability of Residual Stress Measurement Data (In-lab Variability): We excel in the critical assessment of the repeatability of residual stress measurement data. Our rigorous analysis ensures that the data generated is consistent and dependable, upholding the highest standards of precision.

2. Reproducibility of Residual Stress Measurement Data (Lab-to-lab Variability): Our committee is adept at evaluating the reproducibility of residual stress measurement data across different laboratories. We ensure that the data remains reliable and consistent, even in diverse settings, promoting robustness and confidence in the results.

3. Inter-Method Residual Stress Comparisons (e.g., ND to X-ray to Contour): We facilitate insightful comparisons between various residual stress measurement methods, such as neutron diffraction (ND), X-ray, and contour methods. These comparative analyses aid in selecting the most appropriate techniques for your specific applications.

4. Measurement Model Comparisons (e.g., for CX Holes): Our expertise extends to comprehensive measurement model comparisons, particularly for complex features like cold expanded holes. We help assess and refine measurement models to ensure accuracy and effectiveness.

5. Uncertainty Quantification (UQ) and Statistical Methods Relative to Residual Stress Data: We bring advanced statistical techniques into play to address uncertainty in residual stress data. This is not only crucial for individual measurement methods but also helps bridge the gap when comparing data between methods and models. Our commitment to statistical rigor ensures the robustness of the results.

The Residual Stress Characterization Committee is dedicated to empowering the pursuit of fit-to-purpose residual stress implementation efforts while maintaining the highest standards of quality, precision, and statistical integrity.