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Development of nonlinear model for plug flow reactor process

机译:推流反应器过程非线性模型的建立

摘要

Plug Flow Reactor are wildly use in chemical industries. The advantages of PFR reactor is Plug flow reactors have a high volumetric unit conversion and run for long periods of time without maintenance. The control of Plug Flow Reactor process a problem frequently encountered in the chemical industries. Controlling Plug Flow Reactor in chemical industries is very challenging because of the time varying and nonlinear characteristics of the Plug Flow Reactor processes. Nonlinear model of Plug flow reactor (PFR) process model is used to estimate the key unit operation variables when using a continuous tubular reactor to reach a specified output. In this paper gives an overview in selecting the best model in developing a nonlinear model for plug flow reactor. The steps in developing nonlinear model for plug flow reactor are developing of mathematical model in first principal including simulate under steady state and unsteady state condition, validation the mathematical model through an experimental. This model used reaction of ethyl acetate and sodium hydroxide to perform saponification for simulating the behavior of a simple Plug Flow Reactor process in a time. The mathematical model based on first principles is developed then, the model equation is solving in MATLAB environment by doing algorithm for this process. The program for Plug Flow Reactor system is created and this program known as nonlinear fundamental model. Two models were developed in this step in for comparison. The result from the MATLAB simulation program is compared with experimental results which have been selected from two difference method to validate the fundamental model. The result showed that the different between the model and experiment result is around 1-37%. As conclusion, the suitable nonlinear model for PFR system has been developed and analyses have been carried out to check the compatibility of the model.
机译:塞流反应器广泛用于化工行业。 PFR反应器的优点是活塞流反应器具有很高的体积单位转化率,可长时间运行而无需维护。塞流反应器的过程控制是化学工业中经常遇到的问题。由于塞流反应器工艺随时间变化和非线性特性,在化学工业中控制塞流反应器非常具有挑战性。当使用连续管式反应器达到指定的输出量时,使用塞流反应器(PFR)过程模型的非线性模型来估算关键单元的运行变量。本文概述了在开发活塞流反应器非线性模型时选择最佳模型的概况。开发活塞流反应器非线性模型的步骤是建立第一原理的数学模型,包括在稳态和非稳态条件下进行仿真,并通过实验验证该数学模型。该模型使用乙酸乙酯和氢氧化钠的反应进行皂化,以模拟一次简单的活塞流反应器过程的行为。然后建立基于第一原理的数学模型,通过在MATLAB环境中对该算法做算法来求解模型方程。创建用于塞流反应器系统的程序,该程序称为非线性基本模型。在此步骤中开发了两个模型进行比较。将MATLAB仿真程序的结果与从两种差异方法中选择的实验结果进行比较,以验证基本模型。结果表明,模型与实验结果之间的差异约为1-37%。结论是,已经开发了适用于PFR系统的非线性模型,并进行了分析以检验该模型的兼容性。

著录项

  • 作者

    Ahmad Akmal Wahamid;

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  • 年度 2010
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