Journal article 1066 views
Effect of long term annealing on the microstructure of hpdc AZ91 Mg alloy: A quantitative analysis by image processing
Computational Materials Science, Volume: 43, Issue: 4, Pages: 759 - 766
Swansea University Author:
Leo Prakash
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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...
Published in: | Computational Materials Science |
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2008
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URI: | https://cronfa.swan.ac.uk/Record/cronfa17638 |
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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 |
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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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 |
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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 |
11.021648 |