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Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing

D.G. Leo Prakash, Doris Regener, W.J.J. Vorster, Leo Prakash Orcid Logo

Computational Materials Science, Volume: 43, Issue: 4, Pages: 759 - 766

Swansea University Author: Leo Prakash Orcid Logo

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DOI (Published version): 10.1016/j.commatsci.2008.01.040

Abstract

A computational image analysing algorithm was developed for the separation and quantitative characterisation of different Mg17Al12 phases in the long term annealed (LTA), high pressure die cast (hpdc) AZ91 magnesium alloy such as βm (massive) and βc+d (continuous + discontinuous). The size distribut...

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Published in: Computational Materials Science
Published: 2008
URI: https://cronfa.swan.ac.uk/Record/cronfa17638
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spelling 2015-11-02T14:27:45.0468867 v2 17638 2014-04-01 Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing bd72868c48af6c0b04bf9f6bb48ce324 0000-0002-8812-8927 Leo Prakash Leo Prakash true false 2014-04-01 MTLS A computational image analysing algorithm was developed for the separation and quantitative characterisation of different Mg17Al12 phases in the long term annealed (LTA), high pressure die cast (hpdc) AZ91 magnesium alloy such as βm (massive) and βc+d (continuous + discontinuous). The size distribution, nearest neighbour distance (NND) distribution, number density, average size, average NND and area fraction of βm and βc+d phases with respect to different annealing temperatures were obtained by means of novel image processing techniques and compared with the as-cast (AC) material. The different trends associated with the changes of these quantities and morphologies, nucleation and agglomeration of the phases with respect to the annealing temperature is explained. These micro quantities are also correlated with the tensile properties of different annealed castings. Journal Article Computational Materials Science 43 4 759 766 AZ91 Magnesium alloy; Pressure die casting; Long-term annealing; Microstructural quantification; Computational image processing; Tensile properties 5 10 2008 2008-10-05 10.1016/j.commatsci.2008.01.040 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University 2015-11-02T14:27:45.0468867 2014-04-01T10:10:11.8954684 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering D.G. Leo Prakash 1 Doris Regener 2 W.J.J. Vorster 3 Leo Prakash 0000-0002-8812-8927 4
title Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
spellingShingle Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
Leo Prakash
title_short Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
title_full Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
title_fullStr Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
title_full_unstemmed Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
title_sort Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
author_id_str_mv bd72868c48af6c0b04bf9f6bb48ce324
author_id_fullname_str_mv bd72868c48af6c0b04bf9f6bb48ce324_***_Leo Prakash
author Leo Prakash
author2 D.G. Leo Prakash
Doris Regener
W.J.J. Vorster
Leo Prakash
format Journal article
container_title Computational Materials Science
container_volume 43
container_issue 4
container_start_page 759
publishDate 2008
institution Swansea University
doi_str_mv 10.1016/j.commatsci.2008.01.040
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
document_store_str 0
active_str 0
description A computational image analysing algorithm was developed for the separation and quantitative characterisation of different Mg17Al12 phases in the long term annealed (LTA), high pressure die cast (hpdc) AZ91 magnesium alloy such as βm (massive) and βc+d (continuous + discontinuous). The size distribution, nearest neighbour distance (NND) distribution, number density, average size, average NND and area fraction of βm and βc+d phases with respect to different annealing temperatures were obtained by means of novel image processing techniques and compared with the as-cast (AC) material. The different trends associated with the changes of these quantities and morphologies, nucleation and agglomeration of the phases with respect to the annealing temperature is explained. These micro quantities are also correlated with the tensile properties of different annealed castings.
published_date 2008-10-05T03:20:25Z
_version_ 1763750576471932928
score 10.999161

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