著者
榎木 光治 清 雄一 大川 富雄 齋藤 潔
出版者
日本混相流学会
雑誌
混相流 (ISSN:09142843)
巻号頁・発行日
vol.31, no.4, pp.412-421, 2017-12-15 (Released:2018-01-20)
参考文献数
27

The applications of Artificial Intelligence ie AI show diversity in any fields. On the other hand, research of the predicting heat transfer regardless of single-phase or two-phase flow is still untouched. Therefore, we have confirmed usefulness using AI’s deep learning function on horizontal flow boiling heat transfer in flowing mini-channel that is actively researched. The effect of the surface tension in the mini-channel is large compared with conventional large tubes, and then the heat transfer mechanism is very complicated. For this reason, the numerical correlations of many existing researchers the prediction result is not good. However, the mechanistic correlation based on the visualization experiment, which the authors' research group published several years ago has very high precision. Therefore, in this research paper, we confirmed the effectiveness of using deep learning for predicting of the boiling heat transfer in mini-channel while comparing our correlation.

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こっち系もディープラーニング。 /人工知能の深層学習による円形微細流路内水平流の沸騰熱伝達の予測 https://t.co/8ysZzurR7X
以前にプレスリリースを見て気になった論文が公開されてる。 人工知能の深層学習による円形微細流路内水平流の沸騰熱伝達の予測, 混相流, 31 巻 (2017) 4 号 https://t.co/AFsLdkyWnw

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