MiAM: Microstructure evolution during metal Additive Manufacturing

Agency: Fédération Francilienne de Mécanique (F2M), Île de France France
Instrument: Coup de Pouce (Kickstarter) Grant 2019
GrantID: Coup de Pouce 2019
Institutions: Ecole Polytechnique and CentraleSupélec
Co-PIs: Manas V. Upadhyay and Eva Héripré
Core scientific team: Meriem Ben Haj Slama (post-doc)
Dates: October 2020 – September 2021
Funds: 50,000 €
Webpage: https://f2m.cnrs.fr/evenements/le-coup-de-pouce-de-la-f2m/

Objectives:

  • Perform in situ rapid heating/cooling during transmission electron microscopy (TEM) to quantify how intragranular features, specifically precipitates, in additively manufactured stainless steel evolve during thermal cycling in the solid-state.

Methods:

  • Laser Metal Deposition (LMD) of 316L stainless steel samples.
  • SEM and TEM (including EELS / EDX) characterization of microstructure and chemical composition; SEM-FIB for lamella extraction; in situ heating/cooling inside TEM during thermal cycling.
  • Use of aberration corrected STEM (Titan3 G2) to study precipitation evolution.
  • Thermomechanical modelling using finite elements to estimate heating/cooling rates during thermal cycling.

Impact and Output:

  • Filled a knowledge gap in understanding role of thermal cycling effects on precipitate evolution during metal AM.
  • Developed a new in situ thermal cycling inside TEM protocol.
  • Generated data that was later used to plan in situ synchrotron X-ray tomography studies during AM and served as proof-of-concept for the ERC Starting Grant GAMMA project.

Publication list:

  1. S. Gaudez, M. Ben Haj Slama, E. Héripré, L. Yedra, M. Scheel, S. Hallais and M. V. Upadhyay
    “A synchrotron transmission X-ray microscopy study on precipitate evolution during solid-state thermal cycling of a stainless steel”
    Additive Manufacturing, 73 (2023) 103692
    Preprint DOI: 10.2139/ssrn.4379782 Open Access
    DOI: 10.1016/j.addma.2023.103692
  1. S. Gaudez, M. Ben Haj Slama, A. Kaestner and M. V. Upadhyay
    “3D deep convolutional neural network segmentation model for precipitates and porosities identification in synchrotron X-ray tomograms”
    Journal of Synchrotron Radiation, 29 (2022) 1232 – 1240
    DOI: 10.1107/S1600577522006816 Open Access
  1. M. Ben Haj Slama, L. Yedra, E. Héripré and M. V. Upadhyay
    “Insight on precipitate evolution during additive manufacturing of stainless steels via in-situ heating-cooling experiments in a transmission electron microscope”
    Materialia, 21 (2022) 101368
    DOI: 10.1016/j.mtla.2022.101368
    HAL (preprint): hal-03570116 Open Access
  1. M. V. Upadhyay, M. Ben Haj Slama, S. Gaudez, N. Mohanan, L. Yedra, S. Hallais, E. Héripré and A. Tanguy
    “Non-oxide precipitates in additively manufactured austenitic stainless steel”
    Scientific Reports, 11 (2021) 10393
    DOI: 10.1038/s41598-021-89873-2 Open Access