Molecular dynamics simulation for homogeneous nucleation of water and liquid nitrogen in explosive boiling

2010 ◽  
Vol 30 (8-9) ◽  
pp. 859-863 ◽  
Author(s):  
Yu Zou ◽  
Xiulan Huai ◽  
Lin Lin
Author(s):  
Yu Zou ◽  
Xiulan Huai ◽  
Shiqiang Liang

Molecular dynamics simulation is carried out for the bubble nucleation of water and liquid nitrogen in explosive boiling. The heat is transferred into the simulation system by rescaling the velocity of the molecules. When heat is added into the molecular cluster, liquid initial equilibrium temperature and molecular cluster size can affect the energy conversion in the process of bubble nucleation. The potential energy of the system violently varies at the beginning of the bubble nucleation, and then varies around a fixed value. At the end of the bubble nucleation, the potential energy of the system slowly increases. In the process of bubble nucleation of explosive boiling, the lower initial equilibrium temperature leads to the bigger size of the molecular cluster. With more heat added into the system of the simulation cell, the potential energy varies in a larger range. The primary potential of water molecules includes Lennard-Jones potential energy and Columbic force caused by static charges of oxygen and hydrogen atoms. This is the reason why the bubble nucleation of water is different from that of liquid nitrogen. Pressure controlling is applied in the simulation of water, which makes the bubble more fully extended than that of liquid nitrogen.


CrystEngComm ◽  
2018 ◽  
Vol 20 (25) ◽  
pp. 3569-3580 ◽  
Author(s):  
Xiaoxiao Sui ◽  
Yongjian Cheng ◽  
Naigen Zhou ◽  
Binbing Tang ◽  
Lang Zhou

Based on the Stillinger–Weber potential, molecular dynamics simulations of the solidification processes of multicrystalline silicon were carried out.


CrystEngComm ◽  
2019 ◽  
Vol 21 (48) ◽  
pp. 7507-7518 ◽  
Author(s):  
Soroush Ahmadi ◽  
Yuanyi Wu ◽  
Sohrab Rohani

Molecular dynamics (MD) simulation is used to investigate the mechanism of crystal nucleation of potassium chloride (KCl) in a supersaturated aqueous solution at 293 K and 1 atm.


Author(s):  
Yu Zou ◽  
Xiulan Huai

Molecular dynamics simulations are carried out to study the energy conversion in the homogeneous nucleation processes of the explosive boiling caused by laser heating. Liquid nitrogen and water are investigated as the working fluid. Velocity scaling method is applied to realize the laser heating process. Three influencing factors, the heat quantity into the system, the area of the laser heating zone and the initial equilibrium temperature of the liquid are analyzed. It is found that the conversion ratio of energy between heat quantity and potential energy is from 66% to 78% in the process of laser heating. The influence of the heat quantity into the system on the energy conversion of liquid nitrogen is the same in trend as that of water. The influence of the initial equilibrium temperature and the area of the laser heating zone on the liquid nitrogen is less than that of water. The difference of energy conversion between water and liquid nitrogen is pretty dramatic, which is because of the hydrogen bond formed by the Coulombic interaction among water molecules.


Author(s):  
Aneet D. Narendra ◽  
Abhijit Mukherjee

Examination of metastable states of fluids provides important information pertinent to cavitation and homogeneous nucleation. Homogeneous nucleation, in particular, is an important topic of research. Molecular Dynamics simulation is a well-endorsed method to simulate metastabilitites, as they are limited to mesoscopic scales of length and time and this life-time is essentially zero on a laboratory time scale. In the present study, a molecular dynamics code has been used in conjunction with MOLDY to investigate phase change in a Lennard-Jones liquid. The Lennard-Jones atoms were subjected to different temperatures at various number densities and the pressure was recorded for each case. The appearance of a change of phase is characterized by the formation of clusters or formation of voids as described by the radial distribution function.


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