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Modeling of Slurry Polyethylene Processes Using Aspen Plus

Author: ShenHang
Tutor: FengLianFang
School: Zhejiang University
Course: Chemical Engineering
Keywords: Polyethylene Modeling Aspen Plus Process Simulation
CLC: TQ325.12
Type: Master's thesis
Year: 2006
Downloads: 500
Quote: 3
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Abstract


The modeling of chemical production processes in industrial production, an important way to improve the economic efficiency of enterprises, reasonably accurate process models can be used to find the production bottlenecks, the new grade design as well as the grade transition strategy optimization. Slurry polymerization of ethylene industrial devices to establish a steady-state and dynamic models for the study of the production process. Slurry polyethylene unit features fully consider the complexity and specificity of the polymerization system properties and polymerization dynamics, a lot of difficulty to solve the calculation of physical properties, kinetic mechanism and parameters of the modeling process, and made the following conclusions : 1, to establish accurate slurry polyethylene physical properties of the system model. PC-SAFT equation of state of the polymerization system properties calculation, using experimental data regression ethylene, hexane, hydrogen and polyethylene PC-SAFT equation of state parameter, ethylene - hexane, hydrogen - hexane, hydrogen - vinyl ethylene - polyethylene and polyethylene - hexane binary parameters; physical properties and phase equilibria of the PC-SAFT equation of state parameterized system substances, the calculation results with the experimental values ??are in good agreement;, and the polymerization system The vapor-liquid equilibrium calculations, the ratio of the mole fraction of the polymerization of ethylene and hydrogen in the gas phase in the autoclave and industrial measurement data found good. 2, the establishment of high-density polyethylene melt index and molecular weight and molecular weight distribution of the relational. the industrial sample analysis data regression BR (MI = G '(?) W x') equation, JIN Ri-style (Log (MI) = AB logM w C log (PDI)) and Kim Daylight type 2 (Log (MI)) = AB log M . w C (PDI)) parameters, and compare the various relational calculations to obtain a polyethylene melt index (MI), the weight average molecular weight (Mw) and polydispersity index (PDI) associated with the formula: Log (MI) = 20.69-4.041og Mw -0.0044 (PDI). 3, the establishment of a multi-active site dynamics model slurry polyethylene industrial production. Close to the literature in the selection and production conditions of the reaction mechanism and the kinetic data, as a reference, the sensitivity analysis of the kinetic parameters of the rate of conversion of ethylene and polyethylene molecular weight; ethylene conversion rate is increased with increasing chain growth constant over significantly from the inactivation constant decreases, the polyethylene molecular weight increases as the chain growth constant increases with the increase to the decrease of the hydrogen chain transfer constant; were adjusted according to the three different grades of plant data the constant of the chain growth and self-inactivating constant, so that the single-active-bit dynamics model can accurately calculate the conversion rate of ethylene; parsing the molecular weight of the industrial polyethylene samples most likely according to the Schulz-Flory distribution, the system catalyst containing

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CLC: > Industrial Technology > Chemical Industry > Synthetic resins and plastics industry > Polymer resin and plastic > Polyolefin plastic > Polyethylene
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