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Article Dans Une Revue Additive Manufacturing Année : 2020

Digital image correlation for microstructural analysis of deformation pattern in additively manufactured 316L thin walls

Résumé

In additive manufacturing, the process parameters have a direct impact on the microstructure of the material and consequently on the mechanical properties of the manufactured parts. The purpose of this paper is to explore this relation by characterizing the local microstructural response via in situ tensile test under a scanning electron microscope (SEM) combined with high resolution digital image correlation (HR-DIC) and electron backscat-ter diffraction (EBSD) maps. The specimens under scrutiny were extracted from bidirectionally-printed single-track thickness 316L stainless steel walls built by directed energy deposition. The morphologic and crystallographic textures of the grains were characterized by statistical analysis and associated with the particular heat flow pattern of the process. Grains were sorted according to their size into large columnar grains located within the printed layer and small equiaxed grains located at the interfaces between successive layers. In situ tensile experiments were performed with a loading direction either perpendicular or along the printing direction and exhibit different mechanisms of deformation. A statistical analysis of the average deformation per grain indicates that for a tensile loading along the building direction, small grains deform less than the large ones. In addition, HR-DIC combined with EBSD maps showed strain localization situated at the interface between layers in the absence of small grains either individual or in clusters. For tensile loads along the printing direction, the strain localization was present 1 Additive Manufacturing 31 (2020) 100862 https://doi. in several particular large grains. These observations permit to justify the differences in yield and ultimate strength noticed during macroscopic tensile tests for both configurations. Moreover, they indicate that an optimization of the process parameters could trigger the control of microstructure and consequently the macroscopic mechanical behavior.
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Dates et versions

hal-02409832 , version 1 (05-05-2020)

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Yanis Balit, Eric Charkaluk, Andrei Constantinescu. Digital image correlation for microstructural analysis of deformation pattern in additively manufactured 316L thin walls. Additive Manufacturing, 2020, 31, pp.100862. ⟨10.1016/j.addma.2019.100862⟩. ⟨hal-02409832⟩
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