数字农科院2.0

Graphene far-infrared drying wheat: Heat transfer and energy behaviors

文献类型： 外文期刊

作者： Yan, Jianchun;Zhao, Qing;Wei, Hai;An, Jiyou;Chen, Kunjie;Xie, Huanxiong

作者机构：

关键词： Wheat drying;Graphene heater;FIR;Thermal contact conductance;Specific energy consumption;Energy efficiency

期刊名称： CASE STUDIES IN THERMAL ENGINEERING

ISSN： 2214-157X

年卷期： 2025 年 74 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Graphene far-infrared (g-FIR) drying offers an energy-efficient alternative to conventional grain drying. This study investigates the thermodynamic behavior of wheat in a novel g-FIR drying system integrating radiative-conductive heating and forced convection. Through multifactorial experiments (g-FIR temperature: 50-70 degrees C; airflow temperature: 30-60 degrees C; air volume rate: 1.2-3.0 m3/min; grain throughput: 0.0078-0.0128 m3/min), the contributions of radiative and conductive heat transfer were decoupled based on the modelling of heat balance between grain, graphene heater, and airflow. Results revealed that radiative heating accounted for only 20-27 % of total heat absorbed by grains, with conductive transfer dominating due to direct grain-emitter contact. Elevated g-FIR temperatures accelerated drying through enhanced internal moisture diffusivity, while airflow temperature increases primarily amplified surface vapor gradients. A critical air volume rate (2.4 m3/min) optimized moisture removal without excessive grain cooling, while throughput below 0.0103 m3/min caused thermal saturation inefficiencies as wall-proximal grains reached the graphene heater temperature before exiting. The derived equivalent contact conductance model demonstrated moisture-and temperature-difference-dependent thermal transport dynamics. Optimal parameters (60 degrees C g-FIR, 30 degrees C airflow, 2.4 m3/min air volume, 0.0103 m3/min throughput) achieved 72.3 % cumulative energy efficiency and 3.31 MJ/ kg specific energy consumption. This work establishes a framework for designing energy-efficient hybrid dryers, highlighting the necessity of crop-specific optimization to reconcile thermal input with moisture removal kinetics.

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