郭晓光Maggie Guo

(教授)

 博士生导师  硕士生导师
学位:博士
性别:女
毕业院校:大连理工大学
所在单位:机械工程学院
电子邮箱:guoxg@dlut.edu.cn

论文成果

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Towards a Deep Understanding of Molecular Dynamics Simulation in Nanometric Machining

发表时间:2019-03-11 点击次数:

论文名称:Towards a Deep Understanding of Molecular Dynamics Simulation in Nanometric Machining
论文类型:会议论文
收录刊物:EI
卷号:258-259
页面范围:216-220
摘要:Molecular dynamics (MD) simulation is an effective microscopic approach to analyze the mechanism of nanometric machining from atomistic viewpoint. The basic idea of MD simulation is that an ensemble containing enormous particles is established to simulate the micro phenomena. For the ensemble following classical Newtonian mechanics law, the forces between any pair of particles can be derived from the potential functions. The motion equations of particles can be established based on classical Newtonian mechanics and the trajectory of each particle in phase space can be obtained by solving the Newton's equation. And the macroscopic dynamic/static parameters of the ensemble can be acquired based on statistic physics. To give a deep understanding of MD simulation, the typical interatomic potentials, the basic motion equations and the widely used algorithms are introduced in this paper and the applications of MD simulation in nanometric machining are also illustrated. Through comparing the studies on MD simulation in machining conducted by many researchers at home and abroad, the advantages and limitations of MD technique in practical applications of nanometric machining are presented as well.
发表时间:2003-11-28