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Pragmatic Stress Prediction on Additively Manufactured CouponsPrediction of residual stresses from process parameters for additively manufactured large metal parts is computationally expensive. NASA is currently developing meter-scale parts with direct energy deposition. Practically, the predictive computational methods need to efficiently scale-up to meter-scale parts. Coupled thermal-mechanical multi-physics simulations have been developed with the pragmatic method using ABAQUS, COMSOL Multiphysics, ALE3D software. The residual stresses are a result of the manufacturing process which creates thermal cycling of the build layers. The pragmatic method uses lumped thermal layers for stress predictions to reduce computational costs. The stress predictions as well as deformations of the different codes are compared with each other and with ANSYS Additive using identical material models, boundary and initial conditions. The codes were used to simulate three different geometries: a thin wall, hollow cylinder and twin-cantilever part. The coupon parts were then manufactured with Inconel-625. The residual stresses in these parts were measured using X-ray diffraction as well as neutron beam diffraction at NIST. The stress measurements for the two technologies are compared.

The pragmatic stress prediction method enabled predictions of the multi-centimeter scale parts using desktop computer workstations in only a few hours for each coupon. The results of the simulated stress predictions compared favorably with the measured stresses even though thermally lumped layers were employed.

Finally, a two-meter scale nozzle was simulated using ANSYS Additive. The simulations were used to examine the build orientation trade-space with respect to resulting geometric deformation. The predicted deformations were compared to measurements of an actual subscale part manufactured with direct energy deposition.
Document ID
20210020776
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Kevin Wheeler
(Ames Research Center Mountain View, California, United States)
Jeremy Aires
(Ames Research Center Mountain View, California, United States)
Ken Gee
(Ames Research Center Mountain View, California, United States)
Vasyl Hafiychuk
(Wyle (United States) El Segundo, California, United States)
Halyna Hafiychuk
(Wyle (United States) El Segundo, California, United States)
Date Acquired
August 20, 2021
Subject Category
Engineering (General)
Meeting Information
Meeting: International Conference on Additive Manufacturing
Location: Anaheim, CA
Country: US
Start Date: November 1, 2021
End Date: November 5, 2021
Sponsors: American Society For Testing and Materials
Funding Number(s)
WBS: 228556.04.22.21
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
pragmatic method
residual stress
simulation
additive manufacturing
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