Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales
Name
GAMM-Mitteilungen - 2021 - Meier - Physics‐based modeling and predictive simulation of powder bed fusion additive.pdf
Description
Published version
Size
7.66 MB
Format
Adobe PDF
Checksum (MD5)
2808e26998dd0f3bf4bc9942a8b320ae
Author(s)
Meier, Christoph
Fuchs, Sebastian L.
Much, Nils
Nitzler, Jonas
Penny, Ryan W.
Praegla, Patrick M.
Proell, Sebastian D.
Sun, Yushen
Weissbach, Reimar
Schreter, Magdalena
Date Issued
August 22, 2021
Journal
GAMM-Mitteilungen
Publisher
Wiley
Citation
Meier, Christoph, Fuchs, Sebastian L., Much, Nils, Nitzler, Jonas, Penny, Ryan W. et al. 2021. "Physics‐based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales." GAMM-Mitteilungen, 44 (3).
Version
Final published version
Abstract
Powder bed fusion additive manufacturing (PBFAM) of metals has the potential to enable new paradigms of product design, manufacturing and supply chains while accelerating the realization of new technologies in the medical, aerospace, and other industries. Currently, wider adoption of PBFAM is held back by difficulty in part qualification, high production costs and low production rates, as extensive process tuning, post‐processing, and inspection are required before a final part can be produced and deployed. Physics‐based modeling and predictive simulation of PBFAM offers the potential to advance fundamental understanding of physical mechanisms that initiate process instabilities and cause defects. In turn, these insights can help link process and feedstock parameters with resulting part and material properties, thereby predicting optimal processing conditions and inspiring the development of improved processing hardware, strategies and materials. This work presents recent developments of our research team in the modeling of metal PBFAM processes spanning length scales, namely mesoscale powder modeling, mesoscale melt pool modeling, macroscale thermo‐solid‐mechanical modeling and microstructure modeling. Ongoing work in experimental validation of these models is also summarized. In conclusion, we discuss the interplay of these individual submodels within an integrated overall modeling approach, along with future research directions.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/gamm.202100014
