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Design of Liquid Viscosity Measurement System Using Brownian Motion

机译:基于布朗运动的液体粘度测量系统设计

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As the development of science and technology is increasing rapidly, there is one research method that plays an important role in micro-scale measurements, namely Brownian motion. Brownian motion is a phenomenon of the random movement of several particles that can be observed under the objective lens of a microscope due to collisions between particles and surrounding liquid molecules. In this study, the author will observe how the Brownian motion method can be used to determine the liquid viscosity value through the relation between the displacement of polymer particles in various concentration of the solutions and the size of polymer particles that will be used in the observation. The Brownian motion-based system was made with the aim of creating a method of measuring the viscosity of a liquid with equipment that is easier and simpler by utilizing the minimum liquid quantity (in microliters) rather than the conventional methods such as using a viscometer where the quantity of liquid used is large (in milliliters). Measurements were made using the design of optical systems such as camera (Zeiss Axiocam 105 Color) and microscope objective lens (50x magnification). Through the optical system, the movement of particles is then recorded, and the recording image results are processed using image processing algorithms in MATLAB. By using the correlation function, the trajectory of particle movement can be traced until particle displacement data are obtained for each frame (in second). From the experiments that have been conducted using 10-40% glycerin concentrations and 1-micron particle, it shows that the measured glycerin viscosities have good accuracies with the errors no more than 10%. For the measured NaCl viscosities with the concentration variations of 0%, 50%, and 100% using 1-micron particle, it also shows that it has good accuracy with the errors no more than 7%.
机译:随着科学技术的飞速发展,布朗运动是一种在微观测量中起着重要作用的研究方法。布朗运动是由于颗粒与周围液体分子之间的碰撞而在显微镜的物镜下可以观察到的几个颗粒随机运动的现象。在这项研究中,作者将观察布朗运动方法如何通过各种浓度的溶液中聚合物颗粒的位移与观察中将使用的聚合物颗粒尺寸之间的关系来确定液体粘度值。 。基于布朗运动的系统的目的是创建一种通过使用最小液体量(以微升为单位)而不是传统方法(例如使用粘度计)通过更简单,更简单的设备来测量液体粘度的方法。使用的液体量很大(以毫升为单位)。使用光学系统(例如相机(Zeiss Axiocam 105 Color)和显微镜物镜(放大50倍))设计进行测量。然后通过光学系统记录粒子的运动,并使用MATLAB中的图像处理算法处理记录的图像结果。通过使用相关函数,可以跟踪粒子运动的轨迹,直到获得每帧(秒)的粒子位移数据为止。从使用10-40%的甘油浓度和1微米颗粒进行的实验中可以看出,测得的甘油粘度具有良好的精度,误差不超过10%。对于使用1微米颗粒测得的浓度变化分别为0%,50%和100%的NaCl粘度,它还显示了良好的精度,误差不超过7%。

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