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首页> 外文期刊>The Canadian Journal of Chemical Engineering >Modelling and Simulation of Raw Material Blending Process in Cement Raw Mix Milling Installations
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Modelling and Simulation of Raw Material Blending Process in Cement Raw Mix Milling Installations

机译：水泥生料粉磨设备中原料混合过程的建模与仿真

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摘要

A series of multivariable models composed from linear differential equations, integrals, and delays has been developed to describe the dynamics of mixing of the raw materials during the cement raw meal milling. The dynamics between the main oxides and chemical modules of raw mix in mill outlet and the materials proportions in mill entrance is investigated. The distributions of model parameters (gains, time constants, delays, steady state values) are determined. In this way, the structure of the parameters' uncertainty is clearly expressed, explained by the raw materials composition uncertainty and can be used in process simulation. A successful attempt is made to simulate the mill operation by including the main components of the process concerning mixing and dynamics. The simulator calculates the chemical analyses and modules of raw meal in the mill outlet, and also the dynamics of the main module characterizing raw meal and cement i.e., the lime saturation factor (LSF). Thus, the effect of the raw materials compositions and their uncertainty on LSF dynamics is studied. The dynamical models analyzed can be used to build robust controllers, while the simulator constitutes a tool to evaluate the efficiency of the control strategies.
机译：已经开发了一系列由线性微分方程，积分和延迟组成的多变量模型，以描述水泥生料粉磨过程中原料混合的动力学。研究了工厂出口原料混合物的主要氧化物和化学模块之间的动态关系以及工厂入口原料的比例。确定模型参数的分布（增益，时间常数，延迟，稳态值）。这样，就可以清楚地表达参数不确定性的结构，并由原料成分不确定性来解释，并可以用于过程仿真中。通过包括与混合和动力学有关的过程的主要组成部分，已成功尝试模拟磨机的运行。该模拟器计算工厂出口处的生料的化学分析和模块，以及表征生料和水泥的主要模块的动力学，即石灰饱和因子（LSF）。因此，研究了原料组成及其不确定性对LSF动力学的影响。所分析的动力学模型可用于构建鲁棒的控制器，而模拟器则构成评估控制策略效率的工具。

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