沉淀铁费托合成催化剂焙烧工艺的优化研究

摘要

The calcination process of precipitated iron based Fisher-Tropsch synthesis catalysts was optimized by the design of experiment ( DOE) tools. And the molecular simulation model and the particle growing model were proposed. The results showed that the catalyst pore volume decreased, the bulk and skeleton density of the catalyst increased, and the attrition resistance of the catalyst improved with the calcination temperature and time increasing. The smaller the BET surface of the catalyst, the smaller the attrition of the catalyst is. The attrition and density of the catalyst have a inverse linear relationship. The bonding strength of Cu, Si with Fe by O atom and the particle size can be adjusted by calcination optimization, thus got high F-T activity and good stability. In our experiments, the optimized calcination temperature is 560℃.%通过DOE实验设计对沉淀铁费托合成催化剂焙烧过程进行了优化，并给出了焙烧过程的分子模拟与粒子长大模型。结果表明，随着焙烧温度的升高和焙烧时间的延长，催化剂的孔容减小，堆比及骨架密度增加，耐磨性改善。 BET表面与磨耗的变化趋势一致，即比表面积越小磨耗越小；磨耗与密度成线性反比关系，密度越高磨耗越小。通过焙烧工艺的优化，可调变Cu、Si通过O原子与Fe原子的键合作用及催化剂的粒子粒径，得到较高F-T活性且稳定性好的沉淀铁催化剂。在该实验中，优化的焙烧温度为560℃。