Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments

Microstructural refinement of metallic alloys via ultrasonic melt processing (USMP) is an environmentally friendly and promising method. However, so far there has been no report in open literature on how to predict the solidified microstructures and grain size based on the ultrasound processing para...

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Autores principales: Haijun Huang, Ling Qin, Haibin Tang, Da Shu, Wentao Yan, Baode Sun, Jiawei Mi
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/e2029373ee0b4493bd7a6a4689334d4f
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spelling oai:doaj.org-article:e2029373ee0b4493bd7a6a4689334d4f2021-12-02T04:59:54ZUltrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments1350-417710.1016/j.ultsonch.2021.105832https://doaj.org/article/e2029373ee0b4493bd7a6a4689334d4f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1350417721003746https://doaj.org/toc/1350-4177Microstructural refinement of metallic alloys via ultrasonic melt processing (USMP) is an environmentally friendly and promising method. However, so far there has been no report in open literature on how to predict the solidified microstructures and grain size based on the ultrasound processing parameters.In this paper, an analytical model is developed to calculate the cavitation enhanced undercooling and the USMP refined solidification microstructure and grain size for Al-Cu alloys. Ultrafast synchrotron X-ray imaging and tomography techniques were used to collect the real-time experimental data for validating the model and the calculated results. The comparison between modeling and experiments reveal that there exists an effective ultrasound input power intensity for maximizing the grain refinement effects for the Al-Cu alloys, which is in the range of 20-45 MW/m2. In addition, a monotonous increase in temperature during USMP has negative effect on producing new nuclei, deteriorating the benefit of microstructure refinement due to the application of ultrasound.Haijun HuangLing QinHaibin TangDa ShuWentao YanBaode SunJiawei MiElsevierarticleModellingUltrasound melt processingUltrasound CavitationNucleation of metal alloysUltrafast synchrotron X-ray imaging and tomographyChemistryQD1-999Acoustics. SoundQC221-246ENUltrasonics Sonochemistry, Vol 80, Iss , Pp 105832- (2021)
institution DOAJ
collection DOAJ
language EN
topic Modelling
Ultrasound melt processing
Ultrasound Cavitation
Nucleation of metal alloys
Ultrafast synchrotron X-ray imaging and tomography
Chemistry
QD1-999
Acoustics. Sound
QC221-246
spellingShingle Modelling
Ultrasound melt processing
Ultrasound Cavitation
Nucleation of metal alloys
Ultrafast synchrotron X-ray imaging and tomography
Chemistry
QD1-999
Acoustics. Sound
QC221-246
Haijun Huang
Ling Qin
Haibin Tang
Da Shu
Wentao Yan
Baode Sun
Jiawei Mi
Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
description Microstructural refinement of metallic alloys via ultrasonic melt processing (USMP) is an environmentally friendly and promising method. However, so far there has been no report in open literature on how to predict the solidified microstructures and grain size based on the ultrasound processing parameters.In this paper, an analytical model is developed to calculate the cavitation enhanced undercooling and the USMP refined solidification microstructure and grain size for Al-Cu alloys. Ultrafast synchrotron X-ray imaging and tomography techniques were used to collect the real-time experimental data for validating the model and the calculated results. The comparison between modeling and experiments reveal that there exists an effective ultrasound input power intensity for maximizing the grain refinement effects for the Al-Cu alloys, which is in the range of 20-45 MW/m2. In addition, a monotonous increase in temperature during USMP has negative effect on producing new nuclei, deteriorating the benefit of microstructure refinement due to the application of ultrasound.
format article
author Haijun Huang
Ling Qin
Haibin Tang
Da Shu
Wentao Yan
Baode Sun
Jiawei Mi
author_facet Haijun Huang
Ling Qin
Haibin Tang
Da Shu
Wentao Yan
Baode Sun
Jiawei Mi
author_sort Haijun Huang
title Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
title_short Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
title_full Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
title_fullStr Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
title_full_unstemmed Ultrasound cavitation induced nucleation in metal solidification: An analytical model and validation by real-time experiments
title_sort ultrasound cavitation induced nucleation in metal solidification: an analytical model and validation by real-time experiments
publisher Elsevier
publishDate 2021
url https://doaj.org/article/e2029373ee0b4493bd7a6a4689334d4f
work_keys_str_mv AT haijunhuang ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT lingqin ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT haibintang ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT dashu ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT wentaoyan ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT baodesun ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
AT jiaweimi ultrasoundcavitationinducednucleationinmetalsolidificationananalyticalmodelandvalidationbyrealtimeexperiments
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