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Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys

D.G. Leo Prakash, B. Prasanna, Doris Regener, Leo Prakash Orcid Logo

Computational Materials Science, Volume: 32, Issue: 3-4, Pages: 480 - 488

Swansea University Author: Leo Prakash Orcid Logo

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DOI (Published version): 10.1016/j.commatsci.2004.09.017

Abstract

Pressure die cast AZ91 magnesium alloy contains both shrinkage and gas microporosity. Quantification and characterization of shrinkage and gas microporosity is expected to be useful to understand the processing-properties-microstructure correlations. However, conventional image analysis techniques d...

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Published in: Computational Materials Science
Published: 2005
URI: https://cronfa.swan.ac.uk/Record/cronfa17642
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first_indexed 2015-05-08T02:01:52Z
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spelling 2015-11-02T14:35:32.4912795 v2 17642 2014-04-01 Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys bd72868c48af6c0b04bf9f6bb48ce324 0000-0002-8812-8927 Leo Prakash Leo Prakash true false 2014-04-01 MTLS Pressure die cast AZ91 magnesium alloy contains both shrinkage and gas microporosity. Quantification and characterization of shrinkage and gas microporosity is expected to be useful to understand the processing-properties-microstructure correlations. However, conventional image analysis techniques do not permit a separate quantification and characterization of shrinkage and gas microporosity. A computational microstructural (image) analyzing technique has been developed by the use of a programming language to quantify and analyze the microporosity. The shrinkage microporosity and gas microporosity were separated by the above technique and the size distributions of the above micropores were quantified. A microstructural montage from the AZ91 magnesium alloy is created for getting better and consistent results. In addition the image analyzing technique is used to measure the nearest neighbor distance of the shrinkage and the gas microporosity, and to quantify the clustering tendency of the porosity. A new parameter is defined to characterize the affinity of gas pores with the shrinkage pores and vice versa. Journal Article Computational Materials Science 32 3-4 480 488 Gas pores; Shrinkage pores; Quantification; Computational microstructure analysis; Nearest neighbor distribution; Size distribution 3 3 2005 2005-03-03 10.1016/j.commatsci.2004.09.017 COLLEGE NANME Materials Science and Engineering COLLEGE CODE MTLS Swansea University 2015-11-02T14:35:32.4912795 2014-04-01T10:12:44.4853120 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering D.G. Leo Prakash 1 B. Prasanna 2 Doris Regener 3 Leo Prakash 0000-0002-8812-8927 4
title Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
spellingShingle Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
Leo Prakash
title_short Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
title_full Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
title_fullStr Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
title_full_unstemmed Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
title_sort Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
author_id_str_mv bd72868c48af6c0b04bf9f6bb48ce324
author_id_fullname_str_mv bd72868c48af6c0b04bf9f6bb48ce324_***_Leo Prakash
author Leo Prakash
author2 D.G. Leo Prakash
B. Prasanna
Doris Regener
Leo Prakash
format Journal article
container_title Computational Materials Science
container_volume 32
container_issue 3-4
container_start_page 480
publishDate 2005
institution Swansea University
doi_str_mv 10.1016/j.commatsci.2004.09.017
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 Pressure die cast AZ91 magnesium alloy contains both shrinkage and gas microporosity. Quantification and characterization of shrinkage and gas microporosity is expected to be useful to understand the processing-properties-microstructure correlations. However, conventional image analysis techniques do not permit a separate quantification and characterization of shrinkage and gas microporosity. A computational microstructural (image) analyzing technique has been developed by the use of a programming language to quantify and analyze the microporosity. The shrinkage microporosity and gas microporosity were separated by the above technique and the size distributions of the above micropores were quantified. A microstructural montage from the AZ91 magnesium alloy is created for getting better and consistent results. In addition the image analyzing technique is used to measure the nearest neighbor distance of the shrinkage and the gas microporosity, and to quantify the clustering tendency of the porosity. A new parameter is defined to characterize the affinity of gas pores with the shrinkage pores and vice versa.
published_date 2005-03-03T03:20:25Z
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score 11.013731

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