Influences of Directions and Magnitudes of Static Electrical Field on Microstructure and Mechanical Properties for Al–Si Eutectic Alloy


Birinci S., Basit S., Maraşlı N.

Journal of Materials Engineering and Performance, vol.31, no.6, pp.5070-5079, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 6
  • Publication Date: 2022
  • Doi Number: 10.1007/s11665-021-06564-9
  • Journal Name: Journal of Materials Engineering and Performance
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Chemical Abstracts Core, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.5070-5079
  • Keywords: Al-Si alloy, hardness, microstructure, solidification under electric field, ultimate tensile strength
  • Istanbul Gelisim University Affiliated: No

Abstract

The aim of this article was to investigate the influences of directions and magnitudes of static electrical field (E) on eutectic spacings (λ), Brinell hardness (HB) and ultimate tensile strength (σUTS), yield strength (YS) and % elongation (%El) in the Al–12.6 wt.% Si alloy. For this purpose, the Al–12.6 wt.% Si molten alloy was solidified with different directions and magnitudes of E. Directions of E were chosen to be parallel (E+) and antiparallel (E−) to the solid–liquid (S–L) growth direction, and the magnitudes of E were in the range of 14.1–17.9 kV cm–1. The E+ and E− provided an increment or decrement in the atomic mass flux of liquid Al atoms at S–L interface during the solidification. Thus, the value of λ increased as 100% and the values of HB and σUTS decreased as 6.3 and 6.2%, respectively, with increasing the E+. But the λ value decreased as 34% and the values of HB and σUTS are increased as 8.5 and 5.6%, respectively, with increasing E−. The dependence of λ, HB and σUTS on the E+ and E− was determined by regression analysis.