Interlaboratory Reproducibility of Contour Method Data Analysis and Residual Stress Calculation
| Autor: | Michael R. Hill, Christopher R. D’Elia, S. S. Carlson, M. L. Stanfield, J. Araújo de Oliveira, Michael B. Prime, J. B. Lévesque, T. J. Spradlin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Reproducibility
Field (physics) Contour method Mechanical Engineering Residual stress Uncertainty Aerospace Engineering Magnitude (mathematics) Precision Geodesy Civil Engineering Standard deviation Stress field Stress (mechanics) Noise Mechanics of Materials Mechanical Engineering & Transports Interdisciplinary Engineering Mathematics |
| Zdroj: | Experimental Mechanics, vol 60, iss 6 |
| Popis: | Background: While the contour method for residual stress assessment has developed rapidly, no published study documents its interlaboratory reproducibility. Objective: Here we report an initial reproducibility experiment focused on contour method data analysis and residual stress calculation. Methods: The experiment uses surface topography data from a physical process simulation of elastic-plastic beam bending. The simulation provides surface topography, for input to the contour method data analysis, as well as a known residual stress field with 130MPa peak magnitude. To increase realism, noise and specific artifacts are added to the topography data. A group of participants received the topography data (without the known residual stress), independently analyzed the data, and submitted results as a two-dimensional residual stress field. Results: Analysis of submissions provides a group average residual stress field and the spatial distribution of reproducibility standard deviation. The group average residual stress agrees with the known stress in magnitude and spatial trend. The reproducibility standard deviation ranges from 2 to 54MPa over the measurement plane, with an average of 5.4MPa. Reproducibility standard deviation is smaller in the cross-section interior (≤ 5MPa), modest near local extrema in the stress field (5 to 10MPa), and larger near the cross-section boundaries (10 to 30MPa). The largest values of reproducibility standard deviation (up to 54MPa) occur in limited areas where artifacts had been added to the topography data; while some participants identified and removed these artifacts, some did not, leading to systematic differences that elevated the standard deviation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|