Python在化工原理实验中的应用  

Application of Python in Data Processing of Experiment ofChemical Engineering Principles

作　　者：张楠 尹晓红[1] 刘勇[1] 王瑞[1] ZHANG Nan;YIN Xiaohong;LIU Yong;WANG Rui(School of Chemistry&Chemical Engineering,Tianjin University of Technology,Tianjin 300384,China)

机构地区：[1]天津理工大学化学化工学院,天津300384

出　　处：《广州化工》2025年第5期195-197,共3页GuangZhou Chemical Industry

基　　金：天津市自然科学基金(22JCQNJC00720);天津理工大学大学生创新创业训练计划项目(202210060079)。

摘　　要：化工原理实验课程对培养学生实际动手能力与科学研究能力具有十分重要的作用,但是化工原理实验数据的处理过程往往十分复杂。Python既支持面向过程,也支持面向对象编程,拥有丰富的库,运行效率高,应用范围极广。离心泵性能曲线测定实验是化工原理基础实验的重要内容。本文以离心泵特性曲线测定实验的数据处理过程为例,介绍了将Python用于化工原理实时数据处理的方法,通过简单的编程实现对数据进行批量插值、运算、拟合及绘图等。与传统的实验数据处理方法相比,使用Python进行处理实验数据具有操作便捷、结果误差小、工作效率高的特点。同时开拓了学生的思维,培养了学生跨学科思考的能力,提升了学生的创新力。Experiments of Chemical Engineering Principles course plays a significant role in cultivating students'practical hands-on ability and scientific research ability,but the process of processing experimental data of Experiments of Chemical Engineering Principles is often very complicated.Python supports both procedural and object-oriented programming,has rich libraries,high running efficiency,and a wide range of applications.The measurement of the centrifugal pump characteristic curve is an important basic part of Experiments of Chemical Engineering Principles.Taking the experimental data processing process of the centrifugal pump characteristic curve as an example,the application of Python in data processing of experiment of Chemical Engineering Principles was introduced,batch interpolation,operation,fitting,and drawing of data were achieved through simple programming.Compared with traditional experimental data processing methods,the advantages of using Python to process experimental data lay in convenient operation,small result errors,and high work efficiency.At the same time,it extended students'thinking,cultivated their ability to think across disciplines,and enhanced their innovation ability.

关 键 词：化工原理实验 PYTHON 数据处理 

分 类 号：G642.3[文化科学—高等教育学]