Open AccessComprehensive Quantitative Characterisation of Single Crystal Alloys
Author(s) -
Bogdan Nenchev,
Joel Strickland,
S. J. Perry,
Karl Tassenberg,
Simon Gill
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/947/1/012007
Subject(s) - dimensionless quantity , dendrite (mathematics) , crystal (programming language) , alloy , gauge (firearms) , materials science , work (physics) , single crystal , process (computing) , computer science , crystallography , geometry , physics , mechanics , mathematics , thermodynamics , chemistry , metallurgy , programming language , operating system
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.