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Towards predicting process parameters for selective laser melting of titanium alloys through the modelling of melt pool characteristics
Author(s) -
Thinus Van Rhijn,
Willie du Preez,
Maina Maringa,
Dean Kouprianoff
Publication year - 2022
Publication title -
suid-afrikaanse tydskrif vir natuurwetenskap en tegnologie
Language(s) - English
Resource type - Journals
eISSN - 2222-4173
pISSN - 0254-3486
DOI - 10.36303/satnt.2021cosaami.32
Subject(s) - process (computing) , selective laser melting , work (physics) , computer simulation , materials science , characterization (materials science) , mechanical engineering , computer science , mechanics , process engineering , simulation , engineering , microstructure , nanotechnology , metallurgy , physics , operating system
Various researchers have investigated the use of experimental melt pool characterization to speed up the optimisation process of selective laser melting parameters and found this to be possible. From their studies, it has become clear that the incorporation of modelling into this approach could provide efficient and predictable results that would minimise the experimental validation work required. This paper reports on progress made towards characterising the melt pool through simulation. The development of a numerical model is discussed. Subsequently, experimental validation of the numerical model is presented. This is done through a comparison of the simulation results with the experimentally determined cross-sectional geometry of single tracks created with various sets of process parameters. Melt pool size and shape are considered. Based on these results, it is concluded that using an identical simulation setup, verified simulation method, and verified material properties, it was possible to accurately determine the melt pool geometry for some, but not all process parameters.

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