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Title: Predicting phase transformation kinetics during metal additive manufacturing using non-isothermal Johnson-Mehl-Avrami models: Application to Inconel 718 and Ti-6Al-4V

Journal Article · · Additive Manufacturing
 [1];  [1];  [1];  [2];  [3];  [1];  [1];  [1];  [4]
  1. Pennsylvania State Univ., University Park, PA (United States)
  2. King Mongkut's University of Technology, Bangkok (Thailand)
  3. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  4. Univ. of Virginia, Charlottesville, VA (United States)

Here, 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.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE; Defense Advanced Research Projects Agency (DARPA); National Science Foundation (NSF)
Grant/Contract Number:
AC02-05CH11231; HR0011-15-C0029; ACI-1548562
OSTI ID:
1981528
Alternate ID(s):
OSTI ID: 1843079
Journal Information:
Additive Manufacturing, Vol. 49, Issue C; ISSN 2214-8604
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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