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Application of MATLAB in Chemical Engineering Experiment Data Processing

Chelin Wang, Ping Liang

Article ID: 776
Vol 1, Issue 1, 2018, Article identifier:

VIEWS - 329 (Abstract) 3060 (PDF)


In the context of the continuous strengthening of China's comprehensive national strength, a large number of technical personnel have been trained, and various new technologies have also been developed rapidly. In the past, people engaged in chemical engineering not only need to do chemical experiments with high difficulty and danger, but also deal with complex experimental data, which not only aggravated the burden of researchers, but also wasted time and resources.So the study of Chemical Technology in China need to continue to reform and innovation, MATLAB is an innovative and efficient software, can handle a variety of complex data, thereby greatly reducing the workload of the researchers, now in various experiments of chemical engineering has been widely used.This paper will analyze and study the important role of MATLAB in the data processing part of chemical experiment.


MATLAB; data processing; innovative software; chemical engineering

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Included Database


Wang Xiaodong. Process Analysis of Chemical Production in Chemical Engineering[J]. Chemical Industry Management, 2017, (29): 50.

Wang Jian. Simulation of underwater wet rotating arc based on particle physics [D]. Nanchang: East China Jiaotong University, 2015.

Zhang Haipeng. Analysis of the application of chemical engineering technology in chemical production[J]. Chemical Engineering and Equipment, 2017, (08): 226-227.

Zhao Dun. Construction of optical experiment computer simulation platform [D]. Wuhan: Wuhan University of Technology. 2010.

Chen Qingsong. Analysis of Chemical Engineering and Process Development Trends[J].Information Recording Materials, 2017, (02) :21-22.

Zhao Hui. On the Challenges Faced by the Development of Chemical Engineering in the 21st Century[J]. Petrochemical and Chemical Industry Standards and Quality, 2017, (15): 113-114.

Liang Tengbo, Bai Jing, Zhang Wei, et al. Research and application progress of impinging stream technology in chemical engineering field [J].Petrochemical, 2016, (03):360-367.

Huang Fang, Zhang Xiangming. Application of MATLAB in Engineering Mechanics [J]. Science and Technology Information, 2014, (28): 123.

Han Zheng. Computer initiated chemical engineering revolution [J]. Invention and Innovation (Integrated Technology), 2013, (01): 24-26.

Ruan Jinze.Structural analysis of three-axis inertial navigation test turntable based on Matlab[J].Science and Technology Information, 2015, (22):12-13+15.

Yang Haiyong. Research on the method of implicit function drawing in MATLAB[J].Science and Technology Information, 2014, (31):11-12.

Ding Quan. Hot spot analysis and development trend of chemical engineering technology [J]. Chemical Industry Management, 2016, (30): 78.

Li Xiaoli. Application of Attempt Teaching Method Based on MATLAB in Optical Teaching [J]. New West (Theoretical Edition), 2014, (23): 143-144.

ZHAO Liping, YANG Yihui, YIN Longcheng, et al. Data processing based on MATLAB university physics experiment[J].China Educational Technology & Equipment, 2012, (12):122-124.

Zhang Ruimin, Li Yazhou. Database development based on MATLAB [J]. Software Guide. 2011, (09): 145-147.

SUN Haiming, BAI Jing, CHEN Feng et al. RAD51 G135C polymorphism is associated with breast cancer susceptibility: a meta-analysis involving 22, 399 subjects[J]. Breast Cancer Research and Treatment.2010, (1) :1388 -1395.

BREHMER S, PUSCH S, SCHMIEDER K et al. Mutational analysis of D2HGDH and L2HGDH in brain tumours without IDH1 or IDH2 mutations [J]. Neuropathology and Applied Neurobiology. 2010, (3): 2355-2361.

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