Authors

Abstract

Shell-and-tube heat exchangers are widely used in many research fields and industrial production processes, but little research has been conducted on the use of heat exchangers for drying crops. This study conducted a numerical simulation of the temperature, velocity, and pressure fields based on the shell-and-tube fluids of a heat exchanger in a biomass particle hot-blast stove. The correctness of the simulation results was verified by test data before simulation, and the mesh was verified to be irrelevant. The application of a multi-objective genetic algorithm in heat exchanger design and optimization was explored, considering five design variables, such as hot tube diameter, transverse pitch, longitudinal pitch, cold flow velocity, and hot flow velocity for optimization. The Nusselt number, friction factor, and comprehensive performance coefficient were used as objective functions for 2D and 3D response surface analysis. The final design variables P1=74.91 mm, P2=104.23 mm, P3=121.37 mm, P4=4.83 m/s, and P5=8.48 m/s were obtained to improve the comprehensive performance coefficient by 16.11%. The heat transfer performance was improved by 9.55% and the resistance performance was reduced by 15%.

Abstract in Chinese

管壳式热交换器在许多研究领域和工业生产过程中被广泛使用，但对热交换器用于干燥农作物的研究却很少。本研究对生物质颗粒热风炉中基于壳管式流体的热交换器的温度、速度和压力场进行了数值模拟。仿真前通过测试数据验证了仿真结果的正确性，并验证了网格的无关性。探讨了多目标遗传算法在换热器设计和优化中的应用，考虑了热管直径、横向间距、纵向间距、冷流速、热流速等五个设计变量进行优化。以努塞尔数、摩擦系数和综合性能系数作为目标函数进行二维和三维响应面分析。最终得到的设计变量P1=74.91mm，P2=104.23mm，P3=121.37mm，P4=4.83m/s，P5=8.48m/s，综合性能系数提高了16.11%。传热性能提高了9.55%，阻力性能降低了15%。