Abstract
Numerical simulation is an efficient way to better understand the thermal and mechanical evolution during metal additive manufacturing (AM) and to design and optimize the process. However, with today’s computational tools, pass-bypass thermal-mechanical numerical simulation of the metal AM process is extremely time-consuming. In this study, a new finite element code recently developed in house at Oak Ridge National Lab was used for additive manufacturing simulation. Our new code effectively utilizes GPU based high-performance computers to allow for realistic simulation of the transient thermal and mechanical response of materials during additive manufacturing. A benchmark study on a cylinder model by powder bed selective laser melting was carried out and distortion profile was compared to the experimental measurements. The accuracy and efficiency of the code was also demonstrated by analyzing a wire and arc additive manufacturing (WAAM) model which consists of a base plate and four deposited layers.
| Original language | English |
|---|---|
| Title of host publication | Materials and Fabrication |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791851678 |
| DOIs | |
| State | Published - 2018 |
| Event | ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 - Prague, Czech Republic Duration: Jul 15 2018 → Jul 20 2018 |
Publication series
| Name | American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP |
|---|---|
| Volume | 6A-2018 |
| ISSN (Print) | 0277-027X |
Conference
| Conference | ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 07/15/18 → 07/20/18 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/ downloads/doe-public-access-plan) This work is funded by the DOE HPC4Mfg Program managed by Lawrence Livermore National Laboratory. R&D was performed at Oak Ridge National Laboratory. Oak Ridge National Laboratory is managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract DE-AC05-00OR22725.