The comparison of the microstructure and corrosion resistance of sand cast aluminum alloys

Anna Dobkowska , Bogusława Adamczyk-Cieślak , Jarosław Mizera , Krzysztof Kurzydłowski , Andrzej Kiełbus

Abstract

The influence of different types of precipitation on the corrosion behavior was investigated in three aluminum-siliconmagnesium alloys. The microstructures of the alloys were studied through optical (OM) and scanning electron microscopy (SEM). The structures consisted of an α-Al solid solution matrix, Si eutectic crystals, secondary phases AlFeSi and AlMgFeSi (Chinese script), as well as Mg2Si. The corrosion behavior was examined with the use of a potentiodynamic polarization test followed by a SEM surface analysis. The results indicate that all the analyzed samples were in the passive state and AlSi10Mg was less reactive in the corrosive environment.
Author Anna Dobkowska (FMSE / DMD)
Anna Dobkowska,,
- Division of Materials Design
, Bogusława Adamczyk-Cieślak (FMSE / DMD)
Bogusława Adamczyk-Cieślak,,
- Division of Materials Design
, Jarosław Mizera (FMSE / DMD)
Jarosław Mizera,,
- Division of Materials Design
, Krzysztof Kurzydłowski (FMSE / DMD)
Krzysztof Kurzydłowski,,
- Division of Materials Design
, Andrzej Kiełbus - [Silesian University of Technology (PolSL)]
Andrzej Kiełbus,,
-
- Politechnika Śląska
Journal seriesArchives of Metallurgy and Materials, ISSN 1733-3490, (A 30 pkt)
Issue year2016
Vol61
No1
Pages209-212
Publication size in sheets0.5
Keywords in Englishaluminium-silicon-magnesium alloys; microstructure; corrosion
ASJC Classification2506 Metals and Alloys
DOIDOI:10.1515/amm-2016-0038
URL https://www.degruyter.com/view/j/amm.2016.61.issue-1/amm-2016-0038/amm-2016-0038.xml
Languageen angielski
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 0.0, 09-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 09-12-2019, ArticleFromJournal
Publication indicators WoS Citations = 3; Scopus Citations = 5; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.804; WoS Impact Factor: 2016 = 0.571 (2) - 2016=0.776 (5)
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