基于Capstone软件的迈克尔逊干涉法测量溶液折射率
Measurement of Solution Refractive Index Using the Michelson Interference Method Based on Capstone Software
凌丰姿 1许磊 1侯超1
作者信息
- 1. 中山大学 理学院,广东 深圳 518107
- 折叠
摘要
溶液折射率的测量对于深入理解物质的光学特性和化学性质具有重要意义,广泛应用于科学研究和工业领域.本研究基于Capstone软件和迈克尔逊干涉法,提出了一种新型的折射率测量装置.通过在光路中引入旋转台,可以精确调节比色皿的角度,从而根据干涉条纹的变化数量计算折射率.此外,采用高精度光传感器替代传统人眼观察干涉条纹,确保了测量结果的可靠性.550 数据采集器与Capstone软件的结合,进一步增强了数据实时采集与处理能力,显著提升了测量的准确性与效率.纯水及不同浓度的氯化钠、碳酸钠和碳酸氢钠溶液的测量结果表明,该装置性能稳定,且精度较高,相对误差均不超过 0.5%.本研究不仅为迈克尔逊干涉实验的教学改革提供了新思路,而且推动了现代技术在物理实验教学中的应用,为学生提供了更加直观和高效的学习体验.
Abstract
Measuring the solution refractive index is crucial for understanding the optical and chemical properties of materials,with wide applications in both scientific research and industrial fields.This study proposes a novel refractive index measurement device based on Capstone software and the Michelson interference method.By introducing a finely adjustable optical stage into the light path,the angle of the cuvette can be precisely manipulated,allowing for the refractive index calculations based on changes in the interference fringe counts.Additionally,replacing the traditional visual observation with a high-precision optical sensor ensures the reliability of the measurement results.The combination of the 550 data acquisition device and Capstone software further improves the real-time data collection and processing capabilities,significantly enhancing the accuracy and efficiency of measurements.Measurements of pure water and various concentrations of sodium chloride,sodium carbonate,and sodium bicarbonate solutions demonstrate that the device has stable performance and high precision,with relative errors not exceeding 0.5%.This research not only provides new insights for reforming Michelson interference experiments but also advances the use of modern technology in physics education,providing students with a more intuitive and efficient learning experience.
关键词
迈克尔逊干涉/Capstone软件/透明溶液浓度/折射率Key words
Michelson interference/Capstone software/transparent solution concentration/refractive index引用本文复制引用
出版年
2024
NETL
NSTL
万方数据