Investigation of microstructure in additive manufactured Inconel 625 by spatially resolved neutron transmission spectroscopy. Issue 1 (1st December 2016)

• Record Type: Journal Article
• Authors: Tremsin, Anton S.; Gao, Yan; Dial, Laura C.; Grazzi, Francesco; Shinohara, Takenao
• Is Part Of: Science and technology of advanced materials. Volume 17:Issue 1(2016)
• Page Start: 324
• Page End: 336
• Publication Date: 2016-12-01
• Subjects: Non-destructive testing -- additive manufacturing -- microstructure -- neutron imaging; 10 Engineering and Structural materials -- 106 Metallic materials -- 303 Mechanical/Physical processing -- 504 X-ray/Neutron diffraction and scattering; Materials -- Technological innovations -- Periodicals; 620.112
• DOI: 10.1080/14686996.2016.1190261
• Languages: English
• ISSNs: 1468-6996

Abstract

Abstract: Non-destructive testing techniques based on neutron imaging and diffraction can provide information on the internal structure of relatively thick metal samples (up to several cm), which are opaque to other conventional non-destructive methods. Spatially resolved neutron transmission spectroscopy is an extension of traditional neutron radiography, where multiple images are acquired simultaneously, each corresponding to a narrow range of energy. The analysis of transmission spectra enables studies of bulk microstructures at the spatial resolution comparable to the detector pixel. In this study we demonstrate the possibility of imaging (with ~100 μm resolution) distribution of some microstructure properties, such as residual strain, texture, voids and impurities in Inconel 625 samples manufactured with an additive manufacturing method called direct metal laser melting (DMLM). Although this imaging technique can be implemented only in a few large-scale facilities, it can be a valuable tool for optimization of additive manufacturing techniques and materials and for correlating bulk microstructure properties to manufacturing process parameters. In addition, the experimental strain distribution can help validate finite element models which many industries use to predict the residual stress distributions in additive manufactured components. Abstract :