| Issue |
MATEC Web Conf.
Volume 321, 2020
The 14th World Conference on Titanium (Ti 2019)
|
|
|---|---|---|
| Article Number | 03036 | |
| Number of page(s) | 6 | |
| Section | Additive and Near Net Shape Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/202032103036 | |
| Published online | 12 October 2020 | |
Numerical simulation of Rapid Additive Forging (RAF) process
* EC2-Modélisation, Villeurbanne, France
** PRODWAYS Group
1 Corresponding authors : lionel.depradeux@ec2-modelisation.fr, g.duval@prodways.com
The Rapid Additive Forging (RAF) process is a Direct Energy Deposition (DED) Additive Manufacturing (AM) process, based on the deposition of a Titanium alloy on a substrate plate. This process has been developed for the production of Titanium parts of aeronautic components. In this study, a Finite Element (FE) numerical simulation methodology has been established to perform a fast analysis of the RAF process, including full 3D-transient thermal-metallurgical and mechanical numerical simulations. Thus, residual stresses and distortions caused by the process can be estimated. Different modelling strategies have been compared in order to find a balance between computation time and accuracy. Analyses include the effects of phase transformations in the Titanium alloy. First analyses have been performed on a simple geometry of welding wall. The influences of the material activation modelling strategy on the thermal and mechanical results have been investigated. The effects of phase transformations on residual stresses and distortions are also discussed.
Then a specimen with a more complex geometry has been considered in the analysis, including the effect of different deposition paths. A full 3D simulation of the whole deposition process has been compared with several simplified computation procedures, including a reduction of the number of layers considered in the simulation.
Key words: Additive manufacturing / numerical simulation / welding wall / Titanium alloy / phase transformations / residual stresses / distortions
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.