基于多元回归分析对乙醇偶合制备C4烯烃的研究
Preparation of C4 Olefins by Ethanol Coupling Based on Multiple Regression Analysis

本文针对制备收率最优的C4烯烃的问题，使用极差法，曲线拟合，回归分析等方法，建立多元线性回归，灰色关联度等模型，运用SPSS，MATLAB等软件编程，得到最优的催化剂组合和温度。通过探讨不同催化剂组合，研究与乙醇转化率、C4烯烃选择性与温度的关系，其次，在不同催化剂组合的基础上，增加了温度与不同催化剂之间的联系，同时对乙醇转化率与C4烯烃选择性大小的影响程度进行分析，结合上述步骤，选择最优的催化剂组合和温度，让C4烯烃的收率在相同的实验条件下最优。为了得到更为合理的结果，通过增加五次实验，更好的得到催化剂组合及温度对乙醇转化率以及C4烯烃的影响。最后，对模型进行了模型检验，并对模型中的可行性进行了分析，以及对本文建立的模型进行了评价。
In this paper, aiming at the problem of preparing C4 olefin with the best yield, using the range method, curve fitting, regression analysis and other methods, establish multiple linear regression, gray correlation degree model, using SPSS, MATLAB and another software programming, get the optimal catalyst combination and temperature. By discussing the different combinations of catalysts, the research and the ethanol conversion, C4 olefin selectivity and the relationship between temperature, secondly, on the basis of the different combinations of catalysts, the contact between different catalysts to increase the temperature, at the same time to ethanol conversion rate and the size of C4 olefin selectivity to influence were analyzed, and the combination of the above steps, select the optimal combination of catalyst and temperature, The yield of C4 olefins is optimal under the same experimental conditions. In order to obtain more reasonable results, five experiments were added to better obtain the influence of catalyst combination and temperature on ethanol conversion and C4 olefin. Finally, the model is tested, the feasibility of the model is analyzed, and the model established in this paper is evaluated.