Eventos Anais de eventos
COBEF 2023
12th Brazilian Congress on Manufacturing Engineering
Barkhausen noise correlation with surface residual stress on maraging steel when combining additive manufacturing, aging, and milling
Submission Author:
Amanda Rossi de Oliveira , SP
Co-Authors:
Amanda Rossi de Oliveira, Vitor de Oliveira, Julio teixeira, Sydney Ferreira Santos, Erik del Conte
Presenter: Amanda Rossi de Oliveira
doi://10.26678/ABCM.COBEF2023.COF23-0049
Abstract
Laser Powder Bed Fusion (LPBF) of metallic components promotes tailored properties advantages in contrast to conventional subtractive technologies, mainly due to the numerous processing parameters that can be managed. On the other hand, this freedom can lead to repeatability issues for the additive technique, requiring the definition of quality inspection strategies sensitive to processing changes. Materials like maraging steel require some post-processing upon LPBF to achieve the properties and surface conditions necessary for specific applications, for example, injection molds. Thus, nondestructive inspection methods sensitive to the stress behavior, such as the Magnetic Barkhausen Noise (MBN), may benefit the residual stress evaluation in components manufactured with a combination of LPBF and other operations. The MBN phenomenon is observed as pulses induced by discontinuities in domain walls motion in ferromagnetic materials during the magnetization process when subjected to a time-varying external magnetic field. So, this study investigated possible correlations between the MBN and the surface residual stress when combining LPBF, aging treatment (480 ºC for 3 hours), and milling with cutting speed variations (150 m/min and 250 m/min). MBN had its signal collected along the feed direction for signal energy determination to correlate with surface residual stress values assessed with X-ray diffraction. It was possible to observe different Pearson correlation coefficients between the surface residual stress, MBN, and processing parameters. Thus, it was possible to define a linear model to support the surface residual stress prediction based on the features that showed statistical significance for this property within a 0.95 confidence interval, including the MBN energy. Finally, the obtained findings were compared with previous works that explored the MBN inspection focused on the LPBF technology. As a result, the present study contributes to understanding whether the MBN use is feasible for inspecting maraging steel components manufactured with combined processing of LPBF and milling or not.
Keywords
Laser powder bed fusion, milling, residual stress, Barkhausen noise, Nondestructive Inspection
