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Research on Optimization of Simulated Moving Bed Separation Process

机译：模拟移动床分离过程优化研究

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Chromatographic processes provide an effective method for the separation of multicomponent mixtures in which the components have different adsorption affinities. As an alternative to conventional discontinuous batch chromatography process, the simulated moving bed (SMB) chromatographic separation process is a continuous process and has gained more and more application in such fields as petrochemicals, pharmaceutical, and food industries recently. However, optimization of SMB processes is still a challenging task, particularly when a rigorous first-principles process model is used. SMB processes exhibit strong nonlinear behavior and they are of periodic nature. Additionally, their hybrid, non-steady and non-ideal characteristics have to be taken into account. Model-based optimization strategies are therefore of great importance for research and practice. In this paper, the dynamic optimization problem arising from SMB processes is presented, and the simulation results show its effectiveness and usability.
机译：色谱方法提供了分离多组分混合物的有效方法，其中组分具有不同的吸附亲和力。作为常规不连续间歇色谱法的替代方案，模拟的移动床（SMB）色谱分离过程是连续的方法，最近在石油化学，制药和食品工业中获得了越来越多的应用。然而，SMB过程的优化仍然是一个具有挑战性的任务，特别是当使用严格的第一原理过程模型时。 SMB流程表现出强烈的非线性行为，它们是周期性的。此外，必须考虑其混合，非稳定和非理想特性。因此，基于模型的优化策略对于研究和实践来说是非常重要的。本文介绍了SMB过程产生的动态优化问题，仿真结果表明其有效性和可用性。

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