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大学物理实验, 2023, 36(2): 112-117     https://doi.org/10.14139/j.cnki.cn22-1228.2023.02.024
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Python 在液体粘滞系数测量与分析中的应用
李慧静,刘万嘉,龙亿洋,高冲云,王忆寒,李 超
南阳理工学院 数理学院,河南 南阳 473306
Application of Python in Measurement and Analysis of Viscosity Coefficient
LI Huijing,LIU Wanjia,LONG Yiyang,GAO Chongyun,WANG Yihan ,LI Chao
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摘要 

粘滞系数是描述流体相邻流层间摩擦力大小的物理量,液体的粘滞性系数是判断液体物理性质的重要依据,因此液体粘滞性系数的精确测量具有重要的意义。 基于计算机软件进行数值模拟计算在大学物理实验中占重要地位,它既可以对极端、苛刻的实验环境进行虚拟仿真,也可以对没有解析解存在的物理问题进行数值求解.Python 作为一种面向对象、语法简洁、扩展性极强的解释型脚本语言,以其开源与免费的优势,兼具丰富和强大的第三方库,例如 Numpy、Matplotlib、Scipy 等,非常适用于科学计算、数值模拟等工作。 基于 python 从理论上研究了落球法测量流体粘滞系数实验中,小球的运动对流体种类(即粘滞系数)、小球半径以及温度的依赖关系。

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李慧静
刘万嘉
龙亿洋
高冲云
王忆寒
李 超
关键词:  落球法  粘滞性系数  Python  斯托克斯定律     
Abstract: 

The viscosity coefficient is a physical quantity describing the friction force between adjacent flowlayers of a fluid.The viscosity coefficient of a liquid is an important basis for judging the physical properties of aiquid.Therefore , the accurate measurement of the viscosity coefficient of a liquid is of great significanceVumerical simulation based on computer sotware plays an important role in university physics experiments.lcan not only simulate the extreme and harsh experimental environment,but also solve the physical problemswithout analytical solutions.Python, as an object-oriented, simple syntax and highly extensible interpretedscripting language, has the advantages of open source and free , as well as rich and powerful third-partylibraries ,such as Numpy, Matplotlib ,Scipy ,etc.,which is very suitable for scientific calculation and numericalsimulation.Based on Python ,it theoretically studies the dependence of the motion of the ball on the type of fluid(i.e.viscosity coefficient) ,the radius of the ball and the temperature in the experiment of measuring fluidviscosity coefficient by the falling ball method.

Key words:  falling ball method    viscosity coefficient    Python    Stokes’ law
               出版日期:  2023-04-25      发布日期:  2023-04-25      整期出版日期:  2023-04-25
ZTFLH:  O 4-33  
引用本文:    
李慧静, 刘万嘉, 龙亿洋, 高冲云, 王忆寒, 李 超. Python 在液体粘滞系数测量与分析中的应用[J]. 大学物理实验, 2023, 36(2): 112-117.
LI Huijing, LIU Wanjia, LONG Yiyang, GAO Chongyun, WANG Yihan , LI Chao. Application of Python in Measurement and Analysis of Viscosity Coefficient . Physical Experiment of College, 2023, 36(2): 112-117.
链接本文:  
http://dawushiyan.jlict.edu.cn/CN/10.14139/j.cnki.cn22-1228.2023.02.024  或          http://dawushiyan.jlict.edu.cn/CN/Y2023/V36/I2/112
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