基于流动和传热引起的熵产对螺旋板式换热器的多目标优化

Multi-optimization of the Spiral Plate Heat Exchanger Based on the Entropy Production Caused by Flow and Heat Transfer

应用遗传算法,在传热量一定的约束条件下,以螺旋板换热器尺寸参数为优化变量,流体的传热和阻力引起的熵产为目标函数,进行多目标优化,并得出pareto前沿图,最后对pareto前沿解域进行TOPSIS决策,选出最优解。然后对比多目标、单目标优化下,螺旋板换热器的换热面积和压降。结果表明,传热量不变的条件下,多目标优化相较于以压降熵产为单一目标的优化压降降低8.4%,换热面积减少58.3%;相较于以传热熵产为单一目标的优化,压降降低45.76%,换热面积减少25.5%。

In this paper,by using the genetic algorithm,on the constraint conditions of the heat transfer,structural parameters of spiral plate heat exchanger as optimization variables,the entropy productions caused by heat transfer and resistance of the fluid as the objective function,the multi-objective optimization,it is concluded that the pareto frontier graph.TOPSIS was carried out on the pareto frontier solution domain decision,choosing the optimal solution.Then using the single target of heat transfer enropy production and resistance entopy production optimize the heat exchanger,comparing spiral plate heat exchanger heat transfer area and the pressure drop with the results of multiobjective optimizition.Results show that under the constant heat transmission,the multiobjective optimization results compared with single objective optimization result of the entropy production of pressure drop,pressure drop decreases by8.4%,the heat exchange area decreases by58.3%;Compared with single objective optimization result of entropy production of heat transfer,pressure decreases by45.76%,the heat exchange area decreases by25.5%.