Python在液体粘滞系数测量与分析中的应用

Application of Python in Measurement and Analysis of Viscosity Coefficient

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。

The viscosity coefficient is a physical quantity describing the friction force between adjacent flow layers of a fluid.The viscosity coefficient of a liquid is an important basis for judging the physical properties of a liquid.Therefore,the accurate measurement of the viscosity coefficient of a liquid is of great significance.Numerical simulation based on computer software plays an important role in university physics experiments.It can not only simulate the extreme and harsh experimental environment,but also solve the physical problems without analytical solutions.Python,as an object-oriented,simple syntax and highly extensible interpreted scripting language,has the advantages of open source and free,as well as rich and powerful third-party libraries,such as Numpy,Matplotlib,Scipy,etc.,which is very suitable for scientific calculation and numerical simulation.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 fluid viscosity coefficient by the falling ball method.