分解炉结构参数的优化设计研究

针对水泥生产中分解炉的结构参数优化设计问题,提出了一种利用分解炉虚拟样机结合神经网络、遗传算法及正交设计的方法,详细研究了它们之间的逻辑联系和在整体优化设计框架中的作用,同时以水泥生产中常见的双喷腾分解炉为例,对其结构参数进行了优化设计研究,给出了优化结果.该方法不仅建立了一套较为完备的分解炉系统仿真和分析的理论体系,为分解炉进一步的开发和设计提供了有利的工具,同时也为工程设计人员提供了一种优化思路.

Optimum design of structure parameters in precalciner

According to precalciner used in cement production, the optimization of structural parameters for the precalciner was carried out with the help of virtual prototype, neural networks, genetic algorithm, orthogonal design and variance analysis. After the logical relationships among the methods and the functions of these methods in the whole optimum design frame were described, the optimized structural parameters for the precalciner proposed on the basis of the double-sprayed precalciner. This new optimum design method is not only helpful for design research members but provide also a complete theory system for the simulation and analysis of precalciner systems. And this method is a favorable tool for further development and design of precalciner too.