Author(s)

Qishan Zeng ¹, Zhuhua Liang ¹, Kunkun Ming ¹

Affiliation(s)

¹ Guangzhou College of Technology and Business, Guangzhou, Guangdong, 510850

Corresponding Author

Qishan Zeng

ABSTRACT

In this paper,the data given by the topic are studied,and the model is established and optimized.Firstly,the function relationship was established.The least square method was used to calculate the coefficient of each variable,so as to obtain the linear relationship between the data,and the correlation coefficient was obtained through the linear relationship[1].Then the temperature and different ingredients have a great influence on the conversion of ethanol and C4 olefin selectivity.Establish multivariate function,by comparing the size of correlation coefficient,by controlling the single variable method,for different combinations of groups to achieve the effect of a single variable,these data are converted into line graph,and then find out the optimal catalyst combination and temperature in each group.

KEYWORDS

Linear relationship, Multivariate function, Optimization design

CITE THIS PAPER

Qishan Zeng, Zhuhua Liang, Kunkun Ming. Research based on optimization model of C4 olefins preparation. Journal of Materials, Processing and Design (2021) 5: 50-53. DOI: http://dx.doi.org/10.23977/jmpd.2021.050110.

REFERENCES

[1] LYU S P. Synthesis of butanol and C4 olefin by ethanol coupling [D]. Shenyang: Dalian University of Technology, 2018. (in Chinese)
[2] Sun Chao, Han Guang-guang, ZHANG Jun-feng. Analysis of Causes and Countermeasures of Expressway Accidents Based on Variance Analysis and Multiple Linear Regression Model [J]. Traffic and Transportation, 201, 34: 70-80.
[3] Zhang Y, Zhang Y, Zhang Y, et al. Regression analysis of Regression data [J]. Beijing: China Machine Press, 2014.

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