Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
SENSITIVITY OF BARKHAUSEN NOISE MEASUREMENTS ON STEEL SAMPLES PRODUCED BY LASER POWDER BED FUSION
Submission Author:
Bruno Cardozo , SP , Brazil
Co-Authors:
Bruno Cardozo, Ronnie Rego, Lucas Robatto, André Luiz Rocha D' Oliveira, Bruno Lima
Presenter: Bruno Cardozo
doi://10.26678/ABCM.COBEM2021.COB2021-0954
Abstract
The statistical understanding of the variability in magnetic Barkhausen noise signal, which is sensitive to the stress state and hardness of the material, is capable of providing a non-destructive method for a comparative evaluation of the residual stress state in steels. Therefore, it is essential to analyze the sensitivity of the method to the measurement conditions, that can alter the signal obtained using this technique, for a statistical evaluation of the results. The objective of this study is to evaluate the signal sensitivity in measurements with a Barkhausen noise sensor considering a gear involute geometry. A data-based approach for evaluating the signal consistency that includes repeatability and reproducibility of measurements in steels samples produced by laser powder bed fusion. Its objective is to determine factors that influence the uncertainty of the signal and the propagation of the error, such as sensor positioning, contact area and condition of surfaces. The analysis and interpretation of the parameters dispersion contribute to the investigation of the variability caused by the measurement device, the measurement conditions and the intrinsic differences between operators. The statistical understanding of the standard deviation of the Barkhausen noise signal, will allow the replication of the technique in a production line, making it possible to monitor microstructure deviations of a component in real time. Future research in the area of manufacturing and materials can increase the spectrum of non-destructive surface inspection solutions for problems not covered by existing methods. Through repeatability tests, a standard deviation of 16% was noted in the references between different operators, demonstrating that there is a need for standardization and statistical investigation of the measurement method with the purpose of increasing the robustness of the results.
Keywords
residual stress, Measurement robustness, Repeatability, reproducibility
