A 2D and 3D segmentation-based microstructure study on the role of brittle phases in diffusion brazed AISI 304L/NiCrSiFeMoB joints

Otto, Johannes L.; Sauer, Lukas M.; Brink, Malte; Schaum, Thorge; Lingnau, Lars A.; Macias Barrientos, Marina; Walther, Frank

doi:10.1016/j.matdes.2023.112401

Cited by 7 publications

(2 citation statements)

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“…The same workflow was used to create a 3D model of the sulfide distribution. This method is also described in detail in [ 25 ] for precipitation reconstruction in brazed joints.…”

Section: Methodsmentioning

confidence: 99%

“…For this purpose, focused ion beam scanning electron microscopy (FIB-SEM) investigations with atomic force microscopy (AFM) measurements and a self-developed 3D volume model approach are correlated with the mechanical testing methods to better understand the damage mechanisms. A similar approach has been used by Otto et al [ 25 ] to visualize brittle phases in solder joints to better understand their distribution and the influence on the fatigue and corrosion properties. Other work has focused on carbon-based materials [ 26 ] or the influence of voids and inclusions in steels [ 27 ], where 3D microstructure imaging has provided new insights into material behavior.…”

Section: Introductionmentioning

confidence: 99%

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Separation of Damage Mechanisms in Full Forward Rod Extruded Case-Hardening Steel 16MnCrS5 Using 3D Image Segmentation

Lingnau,

Heermant,

Otto

et al. 2024

Materials

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In general, formed components are lightweight as well as highly economic and resource efficient. However, forming-induced ductile damage, which particularly affects the formation and growth of pores, has not been considered in the design of components so far. Therefore, an evaluation of forming-induced ductile damage would enable an improved design and take better advantage of the lightweight nature as it affects the static and dynamic mechanical material properties. To quantify the amount, morphology and distribution of the pores, advanced scanning electron microscopy (SEM) methods such as scanning transmission electron microscopy (STEM) and electron channeling contrast imaging (ECCI) were used. Image segmentation using a deep learning algorithm was applied to reproducibly separate the pores from inclusions such as manganese sulfide inclusions. This was achieved via layer-by-layer ablation of the case-hardened steel 16MnCrS5 (DIN 1.7139, AISI/SAE 5115) with a focused ion beam (FIB). The resulting images were reconstructed in a 3D model to gain a mechanism-based understanding beyond the previous 2D investigations.

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“…The same workflow was used to create a 3D model of the sulfide distribution. This method is also described in detail in [ 25 ] for precipitation reconstruction in brazed joints.…”

Section: Methodsmentioning

confidence: 99%