超临界压力条件下流动传热恶化的流体模化方法研究
首发时间:2017-05-18
摘要:采用低潜热有机工质在超临界压力条件下,对与亚临界类似的传热恶化(CHF)的流体模化方法进行了研究,以期达到扩大流体模化技术适用范围,并提高模型预测精度的目的。本文主要以R134a等为介质,对超临界条件下的CHF传热进行了流体模化研究,分析了超临界CHF的流动特征,研究了超临界压力区模化准则数的选取,准则关系式的建立以及模化模型的验证等。基于Ahmad补偿失真模型和Katto模型,在流速模化因子和入口条件模化因子的基础上,引入修正的压力模化因子,改进并发展了适用于超临界条件的流体模化模型,将搜集的CHF数据与基于R134a的沸腾CHF模化数据进行比较,结果表明大部分数据落在±20%区间,在本文模化条件范围内具有较好的预测精度。
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Scaling method of heat transfer deterioration under the conditions of supercritical pressures
Abstract:Under the conditions of supercritical pressures, fluid to fluid modeling method using low latent heat of organic fluid on the critical heat flux (criticalheatflux, CHF) was studied, in order to expand the scope of fluid modeling technology, and improve the prediction accuracy of the objective. This paper takes the R134a as the medium of supercritical conditions on flow boiling CHF studied fluid model, analyzing the flow characteristics of supercritical CHF, the selection of supercritical pressure modeling criterion and the model validation etc. Based on the Ahmad distortion compensation model and Katto model, with velocity model factor and scale factor of the entrance conditions, the pressure scale factor correction was introduced to improve and develop new fluid modeling model of supercritical conditions. The CHF data collection and boiling CHF model based on R134a data were compared. The results show that most of the data falls in the range of ±20%, with a good prediction accuracy in the current range of conditons.
Keywords: thermal engineering critical heat flux supercritical pressures fluid to fluid modeling
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