|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Defects and Properties of Cast Metals IV
||The Influence of Environmental and Material Properties Data on Defect Predictions in Computational Fluid Dynamics Simulations of Investment Casting
||Christopher Jones, Mark Jolly, Anders Jarfors, Patrik Vrethed, Pedro Silva
|On-Site Speaker (Planned)
Computational fluid dynamics (CFD) packages are becoming increasingly prevalent in the casting world for modelling of fluid flow and the prediction of defect generation during both pouring and as solidification progresses. CFD software such as Flow-3DŽ grant the ability to explore the underlying mechanisms behind the formation of such defects without the need for costly experimentation. As such they have been extremely beneficial to the industry, and will continue to be as their capabilities expand, both financially and in terms of sustainability. By considering a generic foundry test cluster, with the potential to form several defects, an assessment of the impact of varying input parameters on the resulting defect formations was conducted. These parameters of interest included material properties, allocated heat transfer coefficients, and meshing selections. The resulting effect on many defect attributes was explored and contrasted to deepen understanding of the dominant defect drivers and identify possible mitigations.