苏打粉喷雾干燥工艺的模拟与优化

Simulation and Optimization of Soda Spray Drying Process

以年产4万t苏打粉为例,应用Aspenplus软件,模拟NaHCO3浆料与空气在喷雾干燥塔中通过并流向下的方式传质传热,得到符合要求的苏打粉。运用灵敏度分析确定泵的压力、空气温度和进料量分别对产品温度、湿度、平均直径和能耗的影响。再加入复合模糊控制算法,通过仿真实验验证该控制算法适合在苏打粉喷雾干燥控制过程中推广。

Taking the annual production of 40 000 tons of soda ash as an example, the Aspen Plus software is used to simulate the transfer of NaHCO3 slurry and air in a spray drying tower by means of a downward concurrent flow heat transfer to obtain soda powder that meets the requirements. Sensitivity a- nalysis is used to determine the effect of pump pressure, air temperature and feed volume on product temperature, humidity, average diameter and energy consumption, respectively. Then the composite fuzzy control algorithm is added, and the simulation algorithm is proved to be suitable for the promotion of soda powder spray drying control process.