论文部分内容阅读
依据能量守恒原理,分别建立了蜂窝陶瓷蓄热体加热期和冷却期的传热数学模型。在此基础上,选择蓄热室长度、换向时间、蜂窝室横截面上孔的个数3个关键设计参数为优化变量,采用权重系数变换法,确定可综合评价温度效率﹑热回收率和成本价格的目标函数,进而对蜂窝陶瓷蓄热室进行遗传优化设计。为了解决多目标遗传寻优过程中的早熟和多样化损失问题,提出了一种改进的遗传算法,增强了遗传算法的全局搜索能力。优化结果表明,该设计方案与原设计方案相比,温度效率和热回收率分别提高了5.1%和8.2%。同时,所提出的遗传优化方案极大地降低了设计过程中对设计者经验的依赖,避免了繁复的试凑和校核工作。
According to the principle of energy conservation, mathematical models of heat transfer during heating and cooling phases of honeycomb ceramic regenerators were respectively established. On this basis, the three key design parameters of regenerator length, commutation time and the number of holes in the cross-section of honeycomb are optimized variables, and the weight coefficient transform method is used to determine the temperature efficiency, heat recovery rate and The objective function of cost price, and then the genetic optimization design of honeycomb ceramic regenerators. In order to solve the problem of premature and diversified loss in multi-objective genetic optimization, an improved genetic algorithm is proposed to enhance the global search ability of genetic algorithm. The optimization results show that the temperature and heat recovery of the design scheme are increased by 5.1% and 8.2% respectively compared with the original design scheme. At the same time, the proposed genetic optimization scheme greatly reduces the dependence on designers’ experience in the design process, and avoids the complicated trial and verification work.