Predicting Density Distributions in Die Filling

摘要

A computational tool which predicts density distributions after die filling is a key component inrnestablishing a virtual process chain for the die compaction and sintering processing route.rnIn order to simulate die filling a discrete element method (DEM) code has been developedrnregarding the particulate nature of flowing powder. The code is parallelized enabling detailedrnsimulations of three-dimensional parts.rnSpherical grain representations and geometrically complex models were employed in order torndistinguish their predictive capabilities. Mechanical model parameters have been calibrated withinrnreference and validation experiments using ASC100.29 iron powder. While all models are able tornpredict flow rates for simple geometries they differ substantially when tested in their staticrnproperties like angles of repose.rnThe most realistic grain model has then been used for filling simulations of simple and stepped ringrncavities. Density inhomogeneities within these parts are discussed.