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沉淀铁费托合成催化剂焙烧工艺的优化研究

发布时间:2018-07-16 20:47
【摘要】: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℃。
[Abstract]:The calcination process of precipitated iron ferrite synthesis catalyst was optimized by DOE experimental design, and the molecular simulation and particle growth model of the calcination process were given. The results show that with the increase of calcination temperature and the prolongation of calcination time, the pore volume of the catalyst decreases, the bulk ratio and the skeleton density increase, and the surface wear resistance of the BET surface is in accordance with the change trend of wear, that is, the smaller the specific surface area is, the smaller the wear rate is. Wear is linearly inversely proportional to density, and the higher the density, the smaller the wear. By optimizing the calcination process, the precipitated iron catalyst with high F-T activity and good stability can be obtained by adjusting the Cu-Si through the bond cooperation between O atom and Fe atom and the particle size of the catalyst. In this experiment, the optimized roasting temperature is 560 鈩,

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