A study of anodising behaviour of al-si components produced by rheocastingShow others and affiliations
2019 (English)In: Solid State Phenomena, ISSN 1012-0394, E-ISSN 1662-9779, Vol. 285, p. 39-44Article in journal (Refereed) Published
Abstract [en]
This paper aims to investigate the anodising behaviour of Al-Si components produced by rheocasting, to understand the effect of the surface liquid segregation (SLS) on the anodising response. The material investigated was EN AC 42000 Al-alloy with an addition of 150 ppm Sr. The component was rheocast and conventionally liquid cast for benchmarking. The RheoMetal™ process was used to prepare slurry and subsequently cast using a vertical pressure die casting machine. Prior to anodising, mechanical grinding was used as pre-treatment method for selected samples as comparison with components in the as-cast state. Anodising was performed on the components using a constant controlled voltage at 25 V, in 1 M H2 SO4, at room temperature. The duration of anodising was varied from 30 mins to 120 mins to examine the relationship between oxide layer thickness and the anodising time. The oxide layer was investigated and characterised. The results demonstrated that the presence of the SLS layer, which was enriched with alloying elements, had a significant influence on the anodising behaviour of the cast component. The oxide layer thickness of the components produced by rheocasting and fully liquid casting was measured and compared. The relations between the oxide layer thickness and anodising time, as well as the casting methods are presented and discussed in this paper..
Place, publisher, year, edition, pages
2019. Vol. 285, p. 39-44
Keywords [en]
Anodising, Oxide layer, Rheocasting, Alloying elements, Die casting, Liquids, Silicon compounds, Surface segregation, Cast components, Liquid segregation, Mechanical grinding, Oxide layer thickness, Pretreatment methods, Vertical pressure, Aluminum alloys
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-37718DOI: 10.4028/www.scientific.net/SSP.285.39Scopus ID: 2-s2.0-85059944290ISBN: 9783035713732 (print)OAI: oai:DiVA.org:ri-37718DiVA, id: diva2:1284923
Note
Funding details: Knowledge Foundation, 201000280, 20170066; Funding text 1: This research was supported by the Knowledge Foundation (CompCast project no. 201000280, CompCast Plus project no. 20170066)
2019-02-012019-02-012020-01-29Bibliographically approved