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A numerical study on frosting and its early stage under forced convection conditions with surface and environmental factors considered

机译:涉及表面和环境因素的强迫对流条件下冻结及其早期的数值研究

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摘要

To accurately control the frosting process, analyzing the influence of different factors on frosting is meaningful and challengeable, especially in the early frosting stage. According to the sensitivity analysis, the influence of different surface wettability and environmental factors on the growth of frost layer were quantitatively analyzed. Based on the experimental data on cold plate surface under forced convection conditions, new models with emphasis on the initial conditions of the frosting process are developed. Results show that supersaturation degree, supercooling degree and cold plate temperature are the key factors on the growth of frost layer, but their specific influence varies in the early frosting stage. And proportions of these three factors reach 39.42%, 35.58% and 21.15%, respectively. The coincidence rates of the new models with an error of 15% reach90% for the whole frosting process, and 83% for the early frosting stage. Compared with previous models, the coincidence rates of the new models for the whole frosting process and the early frosting stage are increased by at least 8.86% and 15.28%, respectively. Contributions of this study are expected to predict the growth of frost layer in the early frosting stage and provide a reference for the optimal defrosting control of air source heat pumps.
机译:为了准确控制结霜过程,分析不同因素对糖霜的影响是有意义的,有挑战性,特别是在早期冻结阶段。根据敏感性分析,定量分析了不同表面润湿性和环境因素对霜层生长的影响。基于强制对流条件下的冷板表面上的实验数据,开发了具有强调冻结过程初始条件的新模型。结果表明,过饱和度,过冷度和冷板温度是霜层生长的关键因素,但它们的特定影响变化在早期冻结阶段。这三种因素的比例分别达到39.42%,35.58%和21.15%。新型号的巧合率为15%达到的误差为90%,为整个磨砂过程90%,早期磨砂阶段为83%。与以前的模型相比,整个冻剂过程的新模型的重合率和早期结霜阶段分别增加了至少8.86%和15.28%。该研究的贡献预计将预测早期磨砂阶段中霜层的生长,并为空气源热泵提供最佳除霜控制的参考。

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