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Assessing the predictive capability of numerical additive manufacturing simulations via in-situ distortion measurements on a LMD component during build-up

 
: Biegler, Max; Graf, Benjamin; Rethmeier, Michael

:
Volltext urn:nbn:de:0011-n-5320304 (1.1 MByte PDF)
MD5 Fingerprint: 1895d990a7523881ca085648c02b3b09
(CC) by-nc-nd
Erstellt am: 12.2.2019


Procedia CIRP 74 (2018), S.158-162
ISSN: 2212-8271
International Conference on Photonic Technologies <10, 2018, Fürth>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
IGF; 18737 N; Schweißstruktursimulation
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPK ()
laser metal deposition; directed energy deposition; welding simulation; digital image correlation; dimensional accuracy

Abstract
Due to rapid, localized heating and cooling, distortions accumulate in additive manufactured laser metal deposition (LMD) components, leading to a loss of dimensional accuracy or even cracking. Numerical welding simulations allow the prediction of these deviations and their optimization before conducting experiments. To assess the viability of the simulation tool for the use in a predictive manner, comprehensive validations with experimental results on the newly-built part need to be conducted. In this contribution, a predictive, mechanical simulation of a thin-walled, curved LMD geometry is shown for a 30-layer sample of 1.4404 stainless steel. The part distortions are determined experimentally via an in-situ digital image correlation measurement using the GOM Aramis system and compared with the simulation results. With this benchmark, the performance of a numerical welding simulation in additive manufacturing is discussed in terms of result accuracy and usability.

: http://publica.fraunhofer.de/dokumente/N-532030.html