Towards an integrated experimental and computational framework for large-scale metal additive manufacturing

Xiaohua Hu, Andrzej Nycz, Yousub Lee, Benjamin Shassere, Srdjan Simunovic, Mark Noakes, Yang Ren, Xin Sun

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Using the Metal Big Area Additive Manufacturing (MBAAM) system, a thin steel wall was manufactured from a low carbon steel wire. The wall was then characterized comprehensively by high-throughput high-energy X-ray diffraction (HEXRD), electron backscatter diffraction (EBSD), and in-situ HEXRD tensile tests. With the predicted temperature histories from the finite element-based additive manufacturing process simulations, the correlations between processing parameters, microstructure, and properties were established. The correlation between the final microstructure with the predicted temperature history is well explained with the material's continuous cooling transformation (CCT) diagram calculated based on the composition of the low carbon steel wire. The final microstructure is dependent on the cooling rate during austenite to ferrite/bainite transformation during initial cooling and the subsequent reheating cycles. Fast cooling rate resulted in small ferrite grain size and fine bainite structure at the location closest to the base plate. Slower cooling rate at the side wall location and repeated reheating cycles to the ferrite-pearlite regions resulted in all allotriomorphic (equiaxed) ferrite with medium grain size with small amount of pearlite. With no reheating cycles, the top location has the slowest cooling rate and a large grained allotriomorphic ferrite and bainitic structures. The measured mechanical strength is then related to the microstructural feature size (grain or lath size) observed in those locations. A good correlation is found between the mechanical properties, microstructure features and the temperature history at various locations of the printed wall.

Original languageEnglish
Article number138057
JournalMaterials Science and Engineering: A
Volume761
DOIs
StatePublished - Jul 22 2019

Funding

Oak Ridge National Laboratory is operated by UT-Battelle, LLC, for the U.S. Department of Energy (DOE) under contract number DE-AC05. This material is based upon work supported by the U.S. DOE Office of Advanced Manufacturing Office . This research used resources of the Advanced Photon Source (APS), a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. The authors would also like to thank Wolf Robotics and Lincoln Electrics for their support of this work.

FundersFunder number
DOE Office of Science
U.S. Department of EnergyDE-AC05
Advanced Manufacturing Office
Argonne National Laboratory

    Keywords

    • Additive manufacturing
    • CCT diagram
    • Microstructure heterogeneity
    • Modeling
    • Post-necking elongation
    • Strength
    • Uniform elongation

    Fingerprint

    Dive into the research topics of 'Towards an integrated experimental and computational framework for large-scale metal additive manufacturing'. Together they form a unique fingerprint.

    Cite this