人工神经网络在预测流动沸腾曲线中的应用

来源 :原子能科学技术 | 被引量 : 0次 | 上传用户:cjian024156
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选用20世纪60年代以来的实验数据,应用人工神经网络分析入口欠热度、质量流速、压力等主要参数对沸腾曲线的影响。在整个传热区内,热流密度随入口欠热度的增加而增大;在过渡沸腾和膜态沸腾区,热流密度随质量流速的增加而增加;压力起重要的作用,除膜态沸腾区外,增加压力能强化传热。除泡核沸腾外,稳态和瞬态的流动沸腾曲线的差异很小。
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