Literature DB >> 34001968

Non-oxide precipitates in additively manufactured austenitic stainless steel.

Manas Vijay Upadhyay1, Meriem Ben Haj Slama2,3, Steve Gaudez2,4, Nikhil Mohanan2, Lluis Yedra3,5,6, Simon Hallais2, Eva Héripré3, Alexandre Tanguy2.   

Abstract

Precipitates in an austenitic pan class="Chemical">stainless steel fabricated via any Additive Manufacturing (AM), or 3D printing, technique have been widely reported to be only Mn-Si-rich oxides. However, via Transmission Electron Microscopy (TEM) studies on a 316L stainless steel, we show that non-oxide precipitates (intermetallics, sulfides, phosphides and carbides) can also form when the steel is fabricated via Laser Metal Deposition (LMD)-a directed energy deposition-type AM technique. An investigation into their origin is conducted with support from precipitation kinetics and finite element heat transfer simulations. It reveals that non-oxide precipitates form during solidification/cooling at temperatures ≥ 0.75Tm (melting point) and temperature rates ≤ 105 K/s, which is the upper end of the maximum rates encountered during LMD but lower than those encountered during Selective Laser Melting (SLM)-a powder-bed type AM technique. Consequently, non-oxide precipitates should form during LMD, as reported in this work, but not during SLM, in consistency with existing literature.

Entities:  

Year:  2021        PMID: 34001968     DOI: 10.1038/s41598-021-89873-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  1 in total

1.  3D deep convolutional neural network segmentation model for precipitate and porosity identification in synchrotron X-ray tomograms.

Authors:  S Gaudez; M Ben Haj Slama; A Kaestner; M V Upadhyay
Journal:  J Synchrotron Radiat       Date:  2022-07-29       Impact factor: 2.557

  1 in total

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