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23 August 2023 Research on optimal design of reaction conditions based on mixed statistical model
Runhao Zhao, Jiayu Zhang, Xianrui Wang, Bolun Su, Junze Tan, Niu Ben
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Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278404 (2023) https://doi.org/10.1117/12.2692066
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
In the preparation of chemical raw materials, there are often some optimization problems that are difficult for people to solve. Due to the complex interaction between various factors and the great difference between the theoretical model and the practice, an effective optimal design model is imminent. In this paper, an innovative mixed statistical model is proposed for optimal design, including five sub-models of ANOVA model, polynomial optimal regression analysis model, design uniformity model, two-step regression model, and optimization model. In this paper, the mixed statistical model is also applied to the study of the combination of catalyst and temperature in the preparation of C4 olefin production, which has high practicability.
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Runhao Zhao, Jiayu Zhang, Xianrui Wang, Bolun Su, Junze Tan, and Niu Ben "Research on optimal design of reaction conditions based on mixed statistical model", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278404 (23 August 2023); https://doi.org/10.1117/12.2692066
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KEYWORDS
Design and modelling
Statistical analysis
Data modeling
Statistical modeling
Matrices
Mathematical optimization
Mathematical modeling
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