Performance improvement of transcritical vapor generator by a novel double-heated annular configuration by Yue Pan, Yuling Zhai, Zhouhang Li, Nan Hu

“…This enhancement owes to the more favorable radial profiles of fluid thermophysical properties, with specific heat and Prandtl number near the inner side being significantly increased by the outer heating. …”
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Study on the microstructural evolution mechanism of the angular contact ball bearing rings during the quenching and tempering process by Ruijie Gu, Yi Tong, Qiang Wang, Liaoyuan Chen, Ziyang Shang

“…Secondly, the content of each element of the rings was measured by a direct reading spectrometer (SPECTRO M12), and the thermophysical characteristics parameters of the material were calculated by the JMatPro software. …”
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Property development in n-alkane and n-alkane eutectic phase change materials for thermal energy storage applications by Cemil Alkan, Erdinç Halis Alakara

“…The materials studied were having working temperatures from 21.4 to 46.5 °C and enthalpy storage capacity from 216.2 to 268.9 J/g. Other thermophysical properties relevant to thermal energy storage, like specific heat capacity, thermal conductivity, density, and refractive index, are also investigated and formulated as properties changing with respect to molar mass and carbon number. …”
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Governing of Melt Pool Solidification Parameters and Microstructure Evolution Indicator During SLM‐Ti6Al4V Alloy Through Parametric Sweep Optimization by Kidu Gebrecherkos Weldeanenia, Samuel Kinde Kassegne, Perumalla Janaki Ramulu

“…However, the wide range of process parameters and complex thermophysical phenomenon necessitate optimization of process parameters for obtaining a high‐quality finished product. …”
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Study of unusable liquid propellant residues evaporation processes parameters in the tanks of launch vehicle worked-off stage in microgravity by V. I. Trushlyakov, V. A. Urbansky

“…Comparisons of the gasvapor mixture parameters for the considered boundary conditions variants and the proposed physical mathematical model with the results, obtained earlier, for the boundary conditions variant of uniform fluid distribution over the inner tank wall (third boundary conditions variant) and using the boundary layer theory based on integral impulses, energy and diffusion ratios are given. The thermophysical gas-vapor mixture parameters and the gas-vapor mixture exhaust velocity for oxygen, kerosene for two boundary conditions types are given, using the example of Soyuz-2.1.v type fuel tanks. …”
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Prediction of Dynamic Characteristics of Thermocouples with Thin-Wire Sensing Elements by I. A. Safina, S. A. Artemyeva

“…The purpose of this paper was to develop a theoretically justified relation linking the current or expected time constant of fine-wire thermocouples with the known time constant established at known parameters of liquid and gaseous media.A formula linking the time constant of fine-wire thermocouples with the conditions of heat exchange with the measured medium and the thermophysical characteristics of the thermocouple sensing elements has been deducted. …”
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Thermal enhancement using variable characteristics and tripartite diffusion features of solar aircraft wings in context of Reiner-Philippoff hybrid nanofluid passing through a para... by Esraa N. Thabet, A.M. Abd-Alla, S.M.M. El-Kabeir

“…For this investigation, the non-Newtonian Reiner-Philippoff model; a renowned and cutting-edge type of thermally efficient fluid as well as the stability triple diffusive boundary layer natural convective flow contained in a Darcy-Forchheimer porous medium have been taken into consideration. To verify the thermophysical behavior of the suggested model, unique hybrid nanoparticles copper along with zirconium dioxide with engine oil as base fluid (Cu + ZrO2/EO) has been added to the solar aircraft wings to improve the heat transfer performance. …”
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Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al₂O₃/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Perio... by Tarikul Islam, Sílvio Gama, Marco Martins Afonso

“…At the same time, artificial neural networks (ANNs) and response surface methodology (RSM) are employed to optimize thermal performance by maximizing the average Nusselt number (<i>Nu</i>_av), the key indicator of thermal transport efficiency. Thermophysical properties such as viscosity and thermal conductivity are evaluated for validation against experimental data. …”
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Femtomolar hydrogen sulfide detection via hybrid small-molecule nano-arrays by Xing Xing, Luyan Wu, Yuchen Zhang, Jiahao Pan, Yusuke Ishigaki, Huaqing Xie, Takanori Suzuki, Deju Ye, Jianhua Zhang, Weihua Zhang, Zhenda Lu

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Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

“…With focus on technological advancements in the field of thermal heat, these studies show great promise of THF in enhancing rate of heat transfer-issues which complete several energy storage systems, cooling techniques in aeronautics as well as electric vehicle operational convenience via thermal layout.A synergetic composition of three distinct nanomaterial oxides of Copper, Iron and Silicon in engine oil, contributes unique thermophysical character in thermal management. Advance computational technique with combination of AI with Python, Mathematica and Matlab (AIPMM) employing Levenberg Marquardt Neural Network Algorithm (LMNNA), is used for solving a transformed system of ODEs, which was obtained from the system of PDEs of present model. …”
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Optimal nanofluid selection for photovoltaic/thermal (PV/T) systems in adverse climatic conditions by Miqdam T. Chaichan, Hussein A. Kazem, Maytham T. Mahdi, Ali H.A. Al-Waeli, Anees A. Khadom, K. Sopian

“…By examining the thermophysical properties of the prepared suspensions (SWCNT, MWCNT, SiC, TiO2, ZnO, CuO, and Al2O3), it was found that their densities increased by 0.5 %, 0.8 %, 13.3 %, 1.67 %, 11.03 %, 9.32 %, and 7.32 % compared to water, respectively. …”
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