Modeling And Analysis Of The Chloromethane Recovery Process

Glyphosate is an effective, low toxicity, broad-spectrum herbicide. In its production process will generate a lot of chloromethane in the exhaust, if discharged directly into the atmosphere, will cause pollution and hazards for the environment and human; the other hand, chloromethane is the materials of the organosilicon polymer and other halohydrocarbons, is also a good solvent and methylating agent. So their recovery can protect the environment and improve the economy.This article mainly includes the following:(1)The course of development of chemical process simulation was introduced. The chemical process simulation system was comprised of the system model, physical properties database and the solution. The basic methods of the chemical process simulation are sequential modular approach, simultaneous equations method and the simultaneous modular approach. The steady simulation and dynamic simulation study was reviewed in chemical process(2)Some technological processes of the chloromethane mixed gas recovery were introduced. And the conventional separation method is our main method to recover the chloromethane. Impurity removal process is the key process in the chloromethane mixed gas recovery, which is a direct impact on product yield and quality. The process technology of the chloromethane mixed gas recovery process was researched and analyzed. It is a solid foundation for researching dynamic simulation of the recovery process.(3) The dynamic model of the three important processes (washing, alkaline cleaning, acid cleaning ) were established in chloromethane mixed gas recovery process, according to technology condition, dynamic mechanism and basic physical property.(4) According to analyzing the physical property of the chloromethane recovery process, the classic Runge-Kutta method of high precision was chosen to solve this dynamic model. The study shows that the dynamic model of the chloromethane mixed gas recovery process can reflect the actual production. The results reflect the concentration of the tower's non-inert component changes with time both in the starting process and the gas flow driving a step fluctuations; And the optimal operating line of gas flow and liquid flow in every process was obtained.The chloromethane recovery process of the glyphosate mixed exhaus was simulated. It can make us better to understand the process mechanism and the dynamic characteristics in the recovery process. The results can provide a reliable basis for the technologists analyzing the production process and a important reference value for process optimization and process control.