TY - JOUR
T1 - Predicting phase transformation kinetics during metal additive manufacturing using non-isothermal Johnson-Mehl-Avrami models
T2 - Application to Inconel 718 and Ti-6Al-4V
AU - McNamara, Kevin
AU - Ji, Yanzhou
AU - Lia, Frederick
AU - Promoppatum, Patcharapit
AU - Yao, Shi Chune
AU - Zhou, Hongling
AU - Wang, Yi
AU - Chen, Long Qing
AU - Martukanitz, Richard P.
N1 - Funding Information:
Information within this manuscript is based upon research supported through the Defense Advanced Research Projects Agency’s (DARPA’s) Open Manufacturing Program under Contract HR0011-15-C0029 . Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of DARPA. First-principles calculations were performed partially on the Roar supercomputer at The Pennsylvania State University’s Institute for Computational and Data Sciences (ICDS), partially on the resources of the National Energy Research Scientific Computing Center (NERSC) supported by the DOE Office of Science User Facility operated under Contract No. DE-AC02-05CH11231 , and partially on the resources of the Extreme Science and Engineering Discovery Environment (XSEDE) supported by NSF with Grant No. ACI-1548562 .
Publisher Copyright:
© 2021
PY - 2022/1
Y1 - 2022/1
N2 - A computational model was developed to predict solid-state phase transformation kinetics within mechanical parts during metal additive manufacturing processes. This model is a modified version of the Johnson-Mehl-Avrami model for non-isothermal phase transformations that can be applied to various material systems undergoing solid-state phase transformations. Using the thermal history of an additive manufacturing fabricated mechanical part, along with the necessary thermodynamic data and kinetic information as inputs, the model outputs the history of phase fraction evolution during the build process. The model was applied to an Inconel 718 part built by powder bed fusion and a Ti-6Al-4V part built by directed energy deposition. Microstructure characterization and mechanical testing were performed for the validation of the model.
AB - A computational model was developed to predict solid-state phase transformation kinetics within mechanical parts during metal additive manufacturing processes. This model is a modified version of the Johnson-Mehl-Avrami model for non-isothermal phase transformations that can be applied to various material systems undergoing solid-state phase transformations. Using the thermal history of an additive manufacturing fabricated mechanical part, along with the necessary thermodynamic data and kinetic information as inputs, the model outputs the history of phase fraction evolution during the build process. The model was applied to an Inconel 718 part built by powder bed fusion and a Ti-6Al-4V part built by directed energy deposition. Microstructure characterization and mechanical testing were performed for the validation of the model.
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U2 - 10.1016/j.addma.2021.102478
DO - 10.1016/j.addma.2021.102478
M3 - Article
AN - SCOPUS:85119919739
SN - 2214-8604
VL - 49
JO - Additive Manufacturing
JF - Additive Manufacturing
M1 - 102478
ER -