PP生产中工况条件对催化剂活性多因素影响的响应面模型

利用基于Box Behnken设计(BBD)的响应面方法，设计出5因素3水平(L4635)实验方案，就聚合温度(T)、聚合压力(p)、丙烯质量流量(qP)、催化剂用量(qC)、H2体积分数(φH)5个因素对丙烯聚合过程中催化剂活性的影响进行分析，得到丙烯聚合工艺条件与催化剂活性间的响应面模型，并使用不同方法对该模型进行方差及回归分析。结果显示，在聚丙烯生产中，增加T、p、qP和φH可以提高催化剂活性，而qC过多对提高催化剂活性不利；5因素对催化剂活性影响的显著性大小依次为qP、T、p、qC、φH。该模型对降低聚丙烯中灰分、提高产品质量及降低原料消耗、降低生产成本、增加经济效益均有重要意义。

Response Surface Model of Multi-Factors of Conditions Affecting Catalytic Activity of Catalyst in Polypropylene Production

The response surface method based on Box Behnken design (BBD) was used to design a five levels and three factors (L4635) experimental program, and the effects of propylene polymerization conditions, including polymerization temperature (T) and pressure (p), mass flow of propylene (qP), mass flow of catalyst (qC), volume fraction of hydrogen (φH), on the catalytic activity (CA) of the catalyst used for propylene polymerization were investigated, and then a response surface model was built and checked by different methods, such as variance analysis and regression analysis. The results showed that with the increase of T, p, qP and φH, the CA of catalyst could be increased, however, the excess of qC was disadvantageous to the increase of CA. The significant of the five factors above mentioned that affect CA was in the order of qP, T, p, qC, φH. The built model has great significance in reducing the ash content in PP, improving the quality of product, reducing the consumption of raw materials, saving cost and increasing the economic efficiency.