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Liquid metal heat pipes play a critical role in various high-temperature applications, with their optimization being pivotal to achieving optimal thermal performance. In this study, a deep learning based genetic algorithm is suggested to optimize the operating conditions of liquid metal heat pipes. The optimization performance was investigated in both single and multi-variable optimization schemes, considering the operating conditions of heat load, inclination angle, and filling ratio. The single-variable optimization indicated reasonable performance for various conditions, reinforcing the potential applicability of the optimization method across a broad spectrum of high-temperature industries. The multi-variable optimization revealed an almost congruent performance level to single-variable optimization, suggesting that the robustness of optimization method is not compromised with additional variables. Furthermore, the generalization performance of the optimization method was investigated by conducting an experimental investigation, proving a similar performance. This study underlines the potential of optimizing the operating condition of heat pipes, with significant consequences in sectors such as high temperature field, thereby offering a pathway to more efficient, cost-effective thermal solutions.

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
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Nuclear energy, economic growth and CO2 emissions in Pakistan : evidence from extended STRIPAT model Muhammad Yousaf Raza, Songlin Tang p. 2480-2488

Impacts of sintering temperature on the mechanical properties and gamma ray protection capacity of clay bricks Aljawhara H. Almuqrin, K.A. Mahmoud, M.I. Sayyed, H. Al-Ghamdi p. 2489-2497

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Enhancement of FeCrAl-ODS steels through optimised SPS parameters and addition of novel nano-oxide formers A. Meza, E. Macía, M. Serrano, C. Merten, U. Gaitzsch, T. Weißgärber, M. Campos p. 2584-2594

Investigations on seismic performance of nuclear power plants equipped with an optimal BIS-TMDI considering FSI effects Shuaijun Zhang, Gangling Hou, Chengyu Yang, Zhihua Yue, Yuzhu Wang, Min He, Lele Sun, Xuesong Cai p. 2595-2609

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Monte Carlo simulation of spatial resolution of lens-coupled LYSO scintillator for intense pulsed gamma-ray imaging system with large field of view Guoguang Li, Liang Sheng, Baojun Duan, Yang Li, Dongwei Hei, Qingzi Xing p. 2650-2658

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참고문헌 (41건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 The Martian Surface Reactor: An Advanced Nuclear Power Station for Manned Extraterrestrial Exploration 미소장
2 Performance Analysis of Potassium Heat Pipes Radiator for HP-STMCs Space Reactor Power System 미소장
3 The Heatpipe-Operated Mars Exploration Reactor (HOMER) 미소장
4 Effective thermal conductivity of heat pipes 미소장
5 PERFORMANCE EVALUATION OF SODIUM HEAT PIPE THROUGH PARAMETERIC STUDIES 미소장
6 Experimental Investigation of Solar Panel Cooling by a Novel Micro Heat Pipe Array 미소장
7 “SAIRS” — Scalable Amtec Integrated Reactor space power System 미소장
8 Numerical analysis of heat and mass transfer in the capillary structure of a loop heat pipe 미소장
9 Numerical Simulation of a Conventional Heat Pipe 미소장
10 Analytical expression for thermal conductivity of heat pipe 미소장
11 Design of megawatt power level heat pipe reactors 미소장
12 Heat transfer characteristics and operation limit of pressurized hybrid heat pipe for small modular reactors 미소장
13 Development of Passive In-Core Cooling System for Nuclear Safety Using Hybrid Heat Pipe 미소장
14 Performance analysis of heat pipe radiator unit for space nuclear power reactor 미소장
15 Artificial Neural Networks 미소장
16 Spent nuclear fuel with a hybrid heat pipe for electricity generation and thermal management 미소장
17 Thermal performance prediction models for a pulsating heat pipe using Artificial Neural Network (ANN) and Regression/Correlation Analysis (RCA) 미소장
18 Thermal analysis of lithium ion battery-equipped smartphone explosions 미소장
19 Predicting of thermal resistances of closed vertical meandering pulsating heat pipe using artificial neural network model 미소장
20 A Unified Approach to Interpreting Model Predictions 미소장
21 Experimental study on startup performance of high temperature potassium heat pipe at different inclination angles and input powers for nuclear reactor application 미소장
22 Numerical investigation on the heat transfer performance and optimisation of a finned heat pipe using artificial neural networks and genetic algorithm 미소장
23 Operation regimes and heat transfer coefficients in sodium two-phase thermosyphons 미소장
24 Westinghouse eVinci Reactor for Off-Grid Markets 미소장
25 Time-Series Data Augmentation based on Interpolation 미소장
26 Experimental study on heat transfer limit of high temperature potassium heat pipe for advanced reactors 미소장
27 Experimental investigation on the heat transfer performance of high-temperature potassium heat pipe for nuclear reactor 미소장
28 Numerical investigation on startup characteristics of high temperature heat pipe for nuclear reactor 미소장
29 Code development and analysis on the operation of liquid metal high temperature heat pipes under full condition 미소장
30 Time Series Data Augmentation for Deep Learning: A Survey 미소장
31 Effect of inclination angle on the startup of a frozen sodium heat pipe 미소장
32 Experiment study on thermal behavior of a horizontal high-temperature heat pipe under motion conditions 미소장
33 A convolutional neural network analysis of a heat pipe with Hybrid Nanofluids 미소장
34 Experimental evaluation on heat transfer limits of sodium heat pipe with screen mesh for nuclear reactor system 미소장
35 Numerical evaluation of non-condensable gas influence on the heat transfer characteristics of high-temperature lithium heat pipe during reactor operation 미소장
36 Parameter sensitivity study on startup characteristics of high temperature potassium heat pipe 미소장
37 2017 International Conference on Engineering and Technology (ICET) 미소장
38 DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification 미소장
39 Experimental investigation of thermal behavior of overfilled sodium heat pipe 미소장
40 Performance analysis of heat pipe-based passive in-core decay heat removal system for the small modular reactor design with MARS-KS code 미소장
41 Heat transfer performance prediction for heat pipe using deep learning based on wick type 미소장

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