Dybalska, Agnieszka, Caden, Adrian, Griffiths, William D., Nashwan, Zakareya, Bojarevics, Valdis ORCID: 0000-0002-7326-7748 , Djambazov, Georgi ORCID: 0000-0001-8812-1269 , Tonry, Catherine E. H. ORCID: 0000-0002-8214-0845 and Pericleous, Koulis A ORCID: 0000-0002-7426-9999 (2021) Enhancement of mechanical properties of pure aluminium through contactless melt sonicating treatment. Materials, 14 (16):4479. ISSN 1996-1944 (doi:https://doi.org/10.3390/ma14164479)

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Abstract

A new contactless ultrasonic sonotrode method was previously designed to provide cavitation conditions inside liquid metal. The oscillation of entrapped gas bubbles followed by their final collapse causes extreme pressure changes leading to de-agglomeration and the dispersion of oxide films. The forced wetting of particle surfaces and degassing are other mechanisms that are considered to be involved. Previous publications showed a significant decrease in grain size using this technique. In this paper, the authors extend this research to strength measurements and demonstrate an improvement in cast quality. Degassing effects are also interpreted to illustrate the main mechanisms involved in alloy strengthening. The mean values and Weibull analysis are presented where appropriate to complete the data. The test results on cast Al demonstrated a maximum of 48% grain refinement, a 28% increase in elongation compared to 16% for untreated material and up to 17% increase in ultimate tensile strength (UTS). Under conditions promoting degassing, the hydrogen content was reduced by 0.1 cm3/100 g.

Item Type:	Article
Uncontrolled Keywords:	ultrasonic treatment; contactless sonotrode; strength; elongation; degassing; cavitation; Weibull modulus
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	28 Apr 2023 17:03
URI:	http://gala.gre.ac.uk/id/eprint/33485

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