2021
DOI: 10.1016/j.addma.2021.102373
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Tuning strength-ductility combination on selective laser melted 316L stainless steel through gradient heterogeneous structure

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Cited by 13 publications
(15 citation statements)
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“…Figure 5 shows the comparison of strength and ductility of present 316L stainless steel fabricated by SLM. Compared with those previous reports [15,20,[23][24][25][26][27][28][29], our present work presented a higher strength and ductility combination. The unique dislocation network structure in SLM 316L stainless steel could hinder the dislocation movement during deformation, but the dislocation movement did not stop completely.…”
Section: Mechanical Propertiescontrasting
confidence: 73%
See 1 more Smart Citation
“…Figure 5 shows the comparison of strength and ductility of present 316L stainless steel fabricated by SLM. Compared with those previous reports [15,20,[23][24][25][26][27][28][29], our present work presented a higher strength and ductility combination. The unique dislocation network structure in SLM 316L stainless steel could hinder the dislocation movement during deformation, but the dislocation movement did not stop completely.…”
Section: Mechanical Propertiescontrasting
confidence: 73%
“…According to the TEM image in figure 2(e), the as-SLM sample exhibits finer substructures with an average cell size of 0.36 μm, less than the average cell size studied by Liverani et al [15] andMarattukalam et al [27]. Thus, the substructure maintained a steady plastic flow throughout the tensile deformation stage to improve ductility [29].…”
Section: Mechanical Propertiesmentioning
confidence: 83%
“…To demonstrate this, Liu et al [53] are among many who have created a link between the mechanical hardness and tensile performance of USRP components. In this work, selective laser melted (SLM) 316L SS was subjected to a four-pass treatment of USRP using a frequency of 28 kHz, the amplitude of 5 µm, a static load of 1200 N, the scanning velocity of 0.02 ms −1 , and a tip diameter of 14 mm.…”
Section: Effect Of Usrp On Mechanical and Tribological Properties Of Engineering Materialsmentioning
confidence: 99%
“…Another numerical strategy for predicting microstructure in terms of processing parameters relies on direct simulation of the physical processes at the atomic or mesoscopic levels, using molecular dynamics or phase-field modeling, respectively. Both approaches were explored for advancing AM (Singh et al , 2021) and for the 316 L alloy in particular (Chadwick and Voorhees, 2021; Liu et al , 2021; Zhang et al , 2019d). However, this type of simulation is computationally demanding, limiting its applicability for coupling with the currently used design software.…”
Section: Introductionmentioning
confidence: 99%