Article
Thermodynamics
Javier Gil-Font, Nuria Navarrete, Estefania Cervantes, Rosa Mondragon, Salvador F. Torro, Raill Martinez-Cuenca, Leonor Hernandez
Summary: This study aimed to enhance the thermal properties of heat transfer fluids by using nanofluids, and the experimental results showed an increase in convective heat transfer coefficient at high temperatures compared to the base fluid.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Thermodynamics
Nesakumar Dharmakkan, Periasamy Manikandan Srinivasan, Suresh Muthusamy, Amit Jomde, Sonal Shamkuwar, Chandrakant Sonawane, Kamal Sharma, Ali Jawad Alrubaie, A. S. El Shafay, Hitesh Panchal
Summary: This research analyzed the performance of a microplate heat exchanger using hybrid nanofluids and evaluated the convective heat transfer coefficient in terms of Nusselt number. The results showed that the thermal conductivity and overall heat transfer coefficient were enhanced better with hybrid nanofluids compared to nanofluids. The maximum thermal conductivity ratio between the hybrid nanofluid and base fluid was 2.10. The hybrid (TiO2-ZnO/ethylene glycol) achieved a maximum Nusselt number of 35.8 at 50 degrees C and a volume fraction of 4%.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
G. Sriharan, S. Harikrishnan, S. Kalaiselvam, Hakan F. Oztop, Nidal Abu-Hamdeh
Summary: An experimental investigation was conducted on the heat transfer characteristics of nanofluids passing through a mini hexagonal tube heat sink. It was found that CuO-EG nanofluid exhibited the highest thermal conductivity and heat transfer coefficient. Increasing the concentration of nanoparticles in EG improved the thermal conductivity of nanofluids. Stable dispersion of nanoparticles in EG resulted in enhanced heat transfer coefficient under turbulent flow conditions.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Review
Chemistry, Multidisciplinary
Jose Pereira, Ana Moita, Antonio Moreira
Summary: This study provides a comprehensive overview of 2D nanofluids and their potential applications in heat transfer and thermal energy storage. It reveals that these fluids have the ability to improve heat transfer efficiency, reduce the size of thermal management systems, and enhance thermal conductivity.
APPLIED SCIENCES-BASEL
(2023)
Article
Thermodynamics
Tang Tsz Loong, Hamidon Salleh, Amir Khalid, Hasan Koten
Summary: This study analyzed the thermal performance of various metal oxide water based nanofluids by evaluating their experimental data. A performance factor was introduced to assess the thermal performance of nanofluids, and the enhancement of thermal conductivity and viscosity of different types of nanofluids were compared to rank their thermal performance.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Biophysics
Shan Gao, Ryozo Ooka, Wonseok Oh
Summary: The study found that the convective and radiative heat transfer coefficients of different clothing ensembles can affect the prediction of the thermal comfort index, emphasizing the importance of accurately considering clothing heat transfer coefficients for precise thermal comfort prediction.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2021)
Article
Engineering, Chemical
Xu Ma, Yindong Song, Yang Wang, Shouguang Yao, Kambiz Vafai
Summary: In this study, novel hybrid nanoparticles were prepared using Ag modified functionalized GNP, and the boiling heat transfer properties of the nanofluids were investigated. The GNP-Ag hybrid nanofluids with a weight concentration of 0.001% exhibited the best heat transfer performance, with improved structural modification and wetting properties playing a crucial role in enhancing the heat transfer.
Review
Thermodynamics
Javier P. Vallejo, Jose I. Prado, Luis Lugo
Summary: Research on nanofluids has mainly focused on traditional mono nanofluids and recently received attention on hybrid nanofluids, aiming to enhance performance through the study of mixed nanomaterials. Experimental studies on the heat transfer performance of these two types of nanofluids have not yet conclusively determined which is more promising for heat transfer applications.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Mingrui Sun, Lunxiang Zhang, Chengzhi Hu, Jiafei Zhao, Dawei Tang, Yongchen Song
Summary: Optimizing the pore structure of metal foam is considered a feasible approach for improving overall heat transfer performance. The study found that throat area could not effectively optimize heat transfer performance, but the area goodness factor j/f was higher than conventional Kelvin cells.
Review
Thermodynamics
Norhazwani Abd Malek, Siti Ujila Masuri, R. Saidur, Che Nor Aiza Jaafar, Eris Elianddy Supeni, Muhammad Anis Khaliquzzama
Summary: This paper reviews the effect of morphology on heat transfer enhancement in nanofluids containing low-dimensional nanomaterials. The impact of morphology on heat transfer in nanofluids is still unclear. By examining experimental and theoretical studies on the effect of morphology on heat transfer enhancement in nanofluids, a better understanding of heat transfer mechanisms can be achieved.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Review
Thermodynamics
Zoljargal Narankhishig, Jeonggyun Ham, Hoseong Lee, Honghyun Cho
Summary: The review covers experimental and numerical investigations on the convective heat transfer of various nanofluids, especially hybrid nanofluids. Performance optimization of nanofluid heat and mass transfer is influenced by factors such as nanofluid characteristics, synthesis method, magnetic force, nanoparticle concentration and size, and Reynolds number. Studies have shown that the magnetic field in magnetic nanoparticles can significantly enhance the convective heat transfer performance of nanofluids.
APPLIED THERMAL ENGINEERING
(2021)
Review
Chemistry, Multidisciplinary
Yuwei Wang, Jie Yu, Cong Qi, Wenjie Zhang
Summary: In this paper, the thermophysical properties and thermo-hydraulic performance of nanofluids in microchannels are reviewed, and the methods to improve the heat dissipation capability of microchannel heat sinks are analyzed from both thermal and flow perspectives.
Article
Engineering, Mechanical
Abhishek Kumar Pandey, Arun Kumar Tiwari, Hirender Kumar Paliwal
Summary: A combined experimental and theoretical study was performed on doped CeO2 /water nanofluid to investigate its thermal conductivity, heat transfer specific heat, and electronic properties. Doped CeO2 nanoparticles were synthesized using the sol-gel method, and nanofluids with different concentrations were prepared. The experimental and theoretical results showed that the thermal conductivity and specific heat of doped CeO2 were close to those of pure CeO2. Heat transfer measurements were conducted using the nanofluids as coolants, and it was found that the heat transfer coefficient increased with both the volume flow rate of hot water and the atomic number of the dopant elements in CeO2.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Mathematics, Interdisciplinary Applications
A. A. Avramenko, I. Shevchuk, A. Tyrinov
Summary: This article presents an analysis of the convective instability of a nanofluid in a vertical porous cylindrical microchannel with slip boundary conditions. It was found that an increase in the porosity of the medium promotes stabilization, while the conditions for the onset of convection are decisively influenced by the thermal conductivity of nanoparticles.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Engineering, Environmental
Hongqiang Chen, Yonghai Zhang, Lei Huang, Xiong Zhao, Xiang Ma, Zihuan Ma, Junsheng Hou, Jinjia Wei, Paolo Di Marco, Omid Mahian, Nanjing Hao
Summary: This article presents a simple and straightforward microfluidic strategy for synthesizing functional silica nanofluids with excellent stability. The use of these nanofluids in microchannel flow boiling significantly enhances the heat transfer coefficient and critical heat flux, providing a promising solution for thermal management in high-power electronics.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Tae Jong Choi, Sung Hyoun Kim, Seok Pil Jang, Lingnan Lin, M. A. Kedzierski
Article
Computer Science, Artificial Intelligence
Tae Jong Choi, Chang Wook Ahn
Summary: This paper proposes a new method to improve the optimization performance of a state-of-the-art DE variant by utilizing the long-tailed property of the Cauchy distribution. Experimental results demonstrate that the improved DE variant significantly outperforms its predecessor and several cutting-edge DE variants in terms of convergence speed and solution accuracy.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
Summary: The paper introduces an improved stochastic opposition-based learning algorithm called iBetaCOBL, which addresses the high computational cost and assumption of independent decision variables in BetaCOBL, showing excellent performance in comparison to other OBL variants in performance evaluations.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Thermodynamics
Tae Jong Choi, Myeong Soo Park, Sung Hyoun Kim, Seok Pil Jang
Summary: This paper investigates the effect of nanoparticle migration on convective heat transfer characteristics of EG/water-based Al2O3 nanofluids. The results show that the convective heat transfer coefficients of the nanofluids vary depending on the N-BT values, leading to either an increase or decrease in heat transfer efficiency.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Tae Jong Choi, Dong Jin Kim, Seok Pil Jang, Sungwoo Park, Sangho Ko
Summary: This paper investigates the impact of polyolester oil-based multiwalled carbon nanotube nanolubricant on both the heat dissipation in the evaporator and the power consumption of the compressor of a refrigerator. Experimental and theoretical findings show that the compressor power consumption can be reduced by up to 17% with the nanolubricant, while the evaporator's flow boiling heat transfer coefficient can be improved by approximately 5.8%. The coefficient of performance of the refrigerator is also enhanced with the nanolubricant, based on the results from the compressor power consumption and flow boiling heat transfer coefficient.
APPLIED THERMAL ENGINEERING
(2021)
Article
Nanoscience & Nanotechnology
Tae Jong Choi, Seo Yeon Kang, Seok Pil Jang
Summary: This study measured the extinction coefficients of supercritical water-based multi-walled carbon nanotube nanofluids and found that the extinction coefficient linearly increases within a certain volume fraction range and belongs to the independent scattering regime. The results suggest that these nanofluids hold promise as working fluids for ultra-high temperature solar thermal systems.
Article
Computer Science, Artificial Intelligence
Vinh Quang Dinh, Tae Jong Choi
Summary: This article proposes a variant of a convolutional neural network-based stereo matching method called StereoPairFree, which only requires normal images instead of left and right stereo images. The proposed method generates synthesized image patches for training a multipatch matching cost network, which is optimized by cross-based cost aggregation, semiglobal matching, consistency checks, and bilateral filtering. StereoPairFree outperforms monocular stereo matching approaches and other deep learning-based methods on the KITTI-2012, KITTI-2015, and Middlebury datasets.
IEEE INTELLIGENT SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Tae Jong Choi, Julian Togelius
Summary: Differential MAP-Elites algorithm combines the illumination capacity of CVT-MAP-Elites with the optimization capacity of Differential Evolution, outperforming CVT-MAP-Elites in finding higher-quality and more diverse solutions.
PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21)
(2021)
Article
Computer Science, Information Systems
Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, Vinh Quang Dinh
Summary: This paper investigates the advantages and disadvantages of using the Gram matrix in style transfer and introduces several alternatives. In addition, the DeCorMST network with deep correlation loss can effectively transfer the style of the source image to the input content image.
Article
Thermodynamics
Tae Jong Choi, Sung Hyoun Kim, Seok Pil Jang, Doo Jin Yang, Young Man Byeon
APPLIED THERMAL ENGINEERING
(2020)
Article
Computer Science, Information Systems
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
