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Applications of pattern recognition for dendritic microstructures

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conference contribution
posted on 2021-06-18, 10:47 authored by J Strickland, B Nenchev, HB Dong
The Primary Dendrite Arm Spacing (PDAS) is the most important length scale in directionally solidified single crystal alloys. It determines the propensity for defect formation, solution heat treatment times and mechanical properties of the material. In this work a CMSX4 single crystal sample was imaged under a Scanning Electron Microscope (SEM). An automatic dendritic mapping (DenMap) algorithm using Normalised Cross-Correlation (NCC) is combined with Shape-Limited Primary Spacing (SLPS) to determine the local nearest neighbour dendrites and the corresponding dendritic packing. The algorithm located the dendritic centres, calculated the local PDAS, packing pattern, and relationship between PDAS and packing pattern for 256 dendrites in 1 minute 10 seconds. This is the first fully automatic method to produce a clear Gaussian distribution of local PDAS and packing pattern; thus, enabling rapid data gathering potential for single-crystal microstructures.

History

Citation

IOP Conf. Series: Materials Science and Engineering 861 (2020) 012057

Author affiliation

School of Engineering

Source

MCWASP XV: International Conference on Modelling of Casting, Welding and Advanced Solidification Processes 22-23 June 2020, Jönköping, Sweden

Version

  • VoR (Version of Record)

Published in

IOP Conference Series: Materials Science and Engineering

Volume

861

Issue

1

Pagination

012057

Publisher

IOP Publishing

issn

1757-8981

eissn

1757-899X

Acceptance date

2020-05-05

Copyright date

2020

Available date

2021-06-18

Spatial coverage

Jönköping, Sweden

Temporal coverage: start date

2020-06-22

Temporal coverage: end date

2020-06-23

Language

en

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