Analysis of the Motion Process of Bulk Nanoparticles Based on EDU and Time Series Stationarity
DOI: 10.23977/jmpd.2022.060110 | Downloads: 13 | Views: 943
Author(s)
Erhu Yang 1, Qingcheng Yang 1, Hao Wang 1
Affiliation(s)
1 Lanzhou University of Technology, Lanzhou, China
Corresponding Author
Erhu YangABSTRACT
As the name implies, bulk phase nanobubbles exist under bulk phase conditions. Bulk phase here generally refers to liquid phase environment, and nano bubbles refer to bubbles with a diameter less than 1 micron. It has unique physical properties such as small size and large relative surface area, and has broad application prospects in many fields, such as agriculture, surface cleaning, water purification, ore flotation, drug transportation and so on. The nanobubbles suspended in the liquid are in Brownian motion under the action of thermodynamics, resulting in a nearly spherical structure, which makes it difficult to directly detect many physical properties. There have been many theoretical models about the physical mechanism of nanobubble stability, such as linear tension model, dynamic equilibrium theory, high density theory and magazine theory. But these theories explain only part of the results, so they are not universally accepted. Molecular dynamics simulation method can be used to obtain the dynamic process of bulk phase nanobubbles at the scale of 100 nanometers. This method can prove the stable dynamic process of bulk phase bubbles, which is helpful to explain some physical properties of nanobubbles and explain the reason why they can be stabilized for a long time. We use gas phase equilibrium and thermodynamic methods to investigate whether the nanobubbles are stable under the conditions of temperature and pressure changes, and found that no matter the temperature or pressure changes, the impact on it is minimal.
KEYWORDS
Stability, MA (q) model, Coarse-grained particles, Uniformity, CorrelationCITE THIS PAPER
Erhu Yang, Qingcheng Yang, Hao Wang, Analysis of the Motion Process of Bulk Nanoparticles Based on EDU and Time Series Stationarity. Journal of Materials, Processing and Design (2022) Vol. 6: 55-66. DOI: http://dx.doi.org/10.23977/jmpd.2022.060110.
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