Thermal dynamics aspect identification of loop heat pipe with capillary tube wick using nonlinear autoregressive exogenous neural network

IF 2.6 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Yoyok Dwi Setyo Pambudi , Giarno , Sumantri Hatmoko , Anhar Riza Antariksawan , Mukhsinun Hadi Kusuma
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Abstract

The loop heat pipe (LHP) has the potential to be used as a passive cooling system in small modular reactors. The research objective is to study the thermal dynamics of LHP with capillary tube wick using a non-linear autoregressive exogenous (NARX) based on a neural network. The neural network identification of LHP with capillary tube wick was carried out on the MATLAB platform. The experiment data obtained is used to identify the neural network of LHP with capillary tube wick. The temperature of the water as an evaporator heat source was varied at 60, 70, 80, and 90 °C. The LHP was charged with demineralized water with a filling ratio of 100 %. The air as a coolant in condenser section was blown at velocity of 2.5 m/s. The LHP was vacuumed with an initial pressure of 2690 Pa. The result confirmed that NARX based on the neural network model can predict the temperature of the condenser section with a given input set under the steady-state and transient conditions. The coefficient of determination is higher than 0.998 and Mean Square Error (MSE) is below 0.0082. The result obtained shows that the NARX neural network model can predict thermal dynamics phenomena in LHP quickly and precisely.
利用非线性自回归外源神经网络识别带毛细管芯的环形热管的热动力学特性
环形热管(LHP)具有在小型模块化反应堆中用作被动冷却系统的潜力。研究目的是利用基于神经网络的非线性自回归外生(NARX)来研究带有毛细管芯的 LHP 的热动力学。在 MATLAB 平台上对带毛细管芯的 LHP 进行了神经网络识别。获得的实验数据用于识别带毛细管芯的 LHP 神经网络。作为蒸发器热源的水的温度分别为 60、70、80 和 90 °C。LHP 中装有填充率为 100 % 的去矿物质水。冷凝器部分作为冷却剂的空气以 2.5 米/秒的速度吹出。LHP 被抽成真空,初始压力为 2690 Pa。结果证实,基于神经网络模型的 NARX 可以在稳态和瞬态条件下预测给定输入集的冷凝器部分温度。确定系数大于 0.998,平均平方误差 (MSE) 小于 0.0082。结果表明,NARX 神经网络模型可以快速、准确地预测 LHP 的热动力学现象。
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来源期刊
Nuclear Engineering and Technology
Nuclear Engineering and Technology 工程技术-核科学技术
CiteScore
4.80
自引率
7.40%
发文量
431
审稿时长
3.5 months
期刊介绍: Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters. NET covers all fields for peaceful utilization of nuclear energy and radiation as follows: 1) Reactor Physics 2) Thermal Hydraulics 3) Nuclear Safety 4) Nuclear I&C 5) Nuclear Physics, Fusion, and Laser Technology 6) Nuclear Fuel Cycle and Radioactive Waste Management 7) Nuclear Fuel and Reactor Materials 8) Radiation Application 9) Radiation Protection 10) Nuclear Structural Analysis and Plant Management & Maintenance 11) Nuclear Policy, Economics, and Human Resource Development
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