Abstract
Classically, the primary dendrite arm spacing (PDAS) is used as a gauge to determine the quality of a single-crystal alloy. However, this length scale varies substantially over a cast due to variation in the thermo-solutal conditions. In this work, several dimensionless parameters are derived that characterise this variation based purely on geometrical and natural pattern formation. They are determined by applying a novel shape limited spacing algorithm (SLPS). SLPS accurately evaluates the relationship between local PDAS and packing pattern formations, offering a new method of single crystal analysis. The SLPS algorithm is a part of DenMap, a dendrite core feature extraction tool designed to significantly speed up single-crystal characterisation for process optimisation and standardisation for academia and industry.
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