MULTI-OBJECTIVE OPTIMIZATION OF HOT BLAST STOVE HEAT EXCHANGER

IF 0.8 Q4 AGRICULTURAL ENGINEERING

INMATEH-Agricultural Engineering Pub Date : 2023-04-30 DOI:10.35633/inmateh-69-23

Ye Zhang, Qing Jiang, Liangyuan Xu, Chao Huang, Huasheng Gan

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引用次数: 0

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%.

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热风炉换热器的多目标优化

管壳式换热器在许多研究领域和工业生产过程中得到了广泛的应用，但将换热器用于农作物干燥的研究却很少。本文对生物质颗粒热风炉换热器管壳流体的温度场、速度场和压力场进行了数值模拟。通过仿真前的试验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优化中的应用，考虑热管直径、横节距、纵节距、冷流速度和热流速度等5个设计变量进行优化。以Nusselt数、摩擦系数和综合性能系数为目标函数进行二维和三维响应面分析。最终设计变量P1=74.91 mm, P2=104.23 mm, P3=121.37 mm, P4=4.83 m/s, P5=8.48 m/s，综合性能系数提高16.11%。传热性能提高了9.55%，阻力性能降低了15%。

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来源期刊

INMATEH-Agricultural Engineering AGRICULTURAL ENGINEERING-

CiteScore

1.30

自引率

57.10%

发文量