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Title: Method for Rapid Modeling of Distortion in Laser Powder Bed Fusion Metal Additive Manufacturing Parts

Journal Article · · Journal of Materials Engineering and Performance
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  1. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  2. Kansas City National Security Campus, Kansas City, MO (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

The simulation and modeling of part-level distortion and residual stress in diverse metal additive manufacturing (AM) geometries has great potential to enable the rapid adoption of this technology in engineering design. Moreover, the use of additive manufacturing component libraries (CLs) offer a computationally efficient means of quantifying these part-level defects resultant from AM processing. We report on how the individual simulations of simple shapes, potential entries in a CL, can be superimposed to provide an indication of distortion and residual stresses in complex geometries. Laser powder bed fusion AM was used to construct test geometries of varied shapes and their combinations in the form of CLs in an effort to characterize location-dependent and feature-dependent distortion distributions. Blue light scanning was used to experimentally measure 3D distortions in order to investigate the interaction between the component shapes and local boundary conditions. Overall, part-level distortions were highly dependent on test component geometry, local boundary conditions, and shape combination. Commercial finite element software was used to verify experimental trends and to make predictions of distortion. The use of CLs resulted in over 20 times savings in computational cost while reproducing overall trends in distortion for test geometry assemblies. Therefore, it is anticipated that the use of CLs for L-PBF AM geometries has demonstrated potential to facilitate efficient simulations of full component AM assemblies, thereby reducing the need for costly trial-and-error-type experimental analysis.

Research Organization:
Kansas City Nuclear Security Campus (KCNSC), Kansas City, MO (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0002839
OSTI ID:
1827082
Journal Information:
Journal of Materials Engineering and Performance, Journal Name: Journal of Materials Engineering and Performance Vol. 30; ISSN 1059-9495
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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