多目标优化烟丝在间歇式旋转干燥机中的传热传质模拟

Feng Huang, Nan Deng, Qiaoling Li, Bin Li, Ruilin Hu, Miao Liang, D. Luo, Le Wang
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引用次数: 1

摘要

为了模拟烟丝在间歇式旋转干燥机中的干燥过程,选择6种不同的平衡含水率模型计算传质驱动力,并对传热传质数学模型进行数值求解。采用权重因子对多目标非线性传热传质系数问题进行了优化。模拟结果表明,权重因子r是拟合含水率和温度结果的重要参数。模型评价指标在r = 0.1时基本达到最小值。对于所有六个平衡/经典模型,水分含量比温度更适合。其中M-Hen/C模型优于其他平衡/经典模型和REA(反应工程方法)模型。本研究旨在了解烟草干燥过程中的传热传质过程,为预测不同干燥情况下的温度和湿度提供理论框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Heat and Mass Transfer of Cut Tobacco in a Batch Rotary Dryer by Multi-Objective Optimization
Summary To simulate the drying process of cut tobacco in a batch rotary dryer, six different models of equilibrium moisture content were selected to calculate the driving force of mass transfer, and a mathematical model of heat and mass transfer was numerically solved. The multi-objective nonlinear problem of heat and mass transfer coefficients was optimized by employing a weight factor. The simulation results showed that the weight factor r was an important parameter for fitting results of moisture content and temperature. The model evaluation indices almost reached their minimal values with r at 0.1. For all the six equilibrium/classic models the fit was better for moisture content than for temperature. One model (M-Hen/C) was superior to other equilibrium/classic models and the REA (reaction engineering approach) model. This study aims for an understanding of heat and mass transfer in the tobacco drying process, and provides a theoretical framework to support the prediction of temperature and moisture in various drying situations.
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