Data Processing and Visualization with Matlab: Introducing an IT Component to Training Chemical Engineers

被引:1
作者
Bezrukov, Artem [1 ]
Sultanova, Dilbar [1 ]
机构
[1] Kazan Natl Res Technol Univ, 68 Karl Marx St, Kazan 420015, Russia
来源
MOBILITY FOR SMART CITIES AND REGIONAL DEVELOPMENT - CHALLENGES FOR HIGHER EDUCATION (ICL2021), VOL 2 | 2022年 / 390卷
关键词
Matlab; Chemical engineering; Data processing; Data visualization; SIMULATION; PROGRAM;
D O I
10.1007/978-3-030-93907-6_111
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This paper focuses on developing a practicum for using the Matlab software package and the Matlab programming language for modelling and visualization of chemical engineering processes. The purpose of such a practicum is to develop programming scripts for a real chemical process such as, for example, a plug flow reaction with a combination of convection, diffusion, and reaction processes and visualize modelling results in 3D or 2D images or animations. Although coupling IT and chemistry is not a self-evident trend in the chemical engineering education, students feel high motivation to gain an intensive IT experience as part of their chemical engineering training. The practicum is intended to be a part of a Master's degree program in Smart Materials developed for chemical engineers and material scientists. This Matlab practicum for chemical engineering students was developed both on offline and online versions. The online version became a part of the course launched on a global platform with over 10 million audience. Master's students were also introduced the Matlab practicum offline. During this practicum, they developed a model of a real convection-diffusion-reaction process, and visualized data they obtained via mathematical simulations. Students demonstrate considerable interest in developing numerical models of chemical reactions as programming language scripts, although such an approach is not commonly taught within the framework of chemical engineering or materials science programs.
引用
收藏
页码:1048 / 1058
页数:11
相关论文
共 33 条
[1]   A Simple Spreadsheet Program To Simulate and Analyze the Far-UV Circular Dichroism Spectra of Proteins [J].
Abriata, Luciano A. .
JOURNAL OF CHEMICAL EDUCATION, 2011, 88 (09) :1268-1273
[2]  
Bezrukov A., 2020, IOP C SERIES MAT SCI
[3]   Development of a "Smart Materials" Master's Degree Module for Chemical Engineering Students [J].
Bezrukov, Artem ;
Sultanova, Dilbar .
IMPACT OF THE 4TH INDUSTRIAL REVOLUTION ON ENGINEERING EDUCATION, ICL2019, VOL 2, VOL. 1135, 2020, 1135 :169-180
[4]   Application of Microfluidic Techniques to Experimental Research of Engineering Students [J].
Bezrukov, Artem ;
Sultanova, Dilbar .
EDUCATING ENGINEERS FOR FUTURE INDUSTRIAL REVOLUTIONS, ICL2020, VOL 2, VOL. 1329, 2021, 1329 :863-870
[5]  
Bezrukov A, 2020, IEEE GLOB ENG EDUC C, P1212, DOI [10.1109/EDUCON45650.2020.9125102, 10.1109/educon45650.2020.9125102]
[6]   Application of Microfluidic Tools for Training Chemical Engineers [J].
Bezrukov, Artem ;
Sultanova, Dilbar .
IMPACT OF THE 4TH INDUSTRIAL REVOLUTION ON ENGINEERING EDUCATION, ICL2019, VOL 2, VOL. 1135, 2020, 1135 :496-504
[7]  
Bezrukov A, 2014, 2014 INTERNATIONAL CONFERENCE ON INTERACTIVE COLLABORATIVE LEARNING (ICL), P299, DOI 10.1109/ICL.2014.7017788
[8]   Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation [J].
Cen, Ling ;
Ruta, Dymitr ;
Al Qassem, Lamees Mahmoud Mohd Said ;
Ng, Jason .
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2020, 13 (02) :283-296
[9]   Engineering design thinking, teaching, and learning [J].
Dym, CL ;
Agogino, AM ;
Eris, O ;
Frey, DD ;
Leifer, LJ .
JOURNAL OF ENGINEERING EDUCATION, 2005, 94 (01) :103-120
[10]   Support of Education in Process Simulation and Optimization via Language Independent Modelling and Versatile Code Generation [J].
Esche, Erik ;
Tolksdorf, Gregor ;
Fillinger, Sandra ;
Bonart, Henning ;
Wozny, Guenter ;
Repke, Jens-Uwe .
27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C, 2017, 40C :2929-2934