Exploring ethanol-coupled preparation of ethylene based on nonlinear regression analysis

Yijia Zhou; Haidong Sun

doi:10.1117/12.2671333

28 April 2023 Exploring ethanol-coupled preparation of ethylene based on nonlinear regression analysis

Yijia Zhou, Haidong Sun

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126104T (2023) https://doi.org/10.1117/12.2671333
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In this paper, the scatter plots of ethylene selectivity and temperature changes are firstly studied. It can be found that some functional relationships consistent with the scatter trend. By nonlinear regression analysis, the relationship models between ethylene selectivity and temperature are proposed under different catalyst combinations. For the ethanol-coupled preparation of ethylene, the performance of preparation provides a reference for selecting catalysts to design optimal performance reactions. Compared with the original regression model, the final chosen regression function in this paper diverges much lesser from the actual data and the fitting efficiency is better.

Citation Download Citation

Yijia Zhou and Haidong Sun "Exploring ethanol-coupled preparation of ethylene based on nonlinear regression analysis", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126104T (28 April 2023); https://doi.org/10.1117/12.2671333

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