Deep learning based analysis of microstructured materials for thermal radiation control

Sullivan, Jonathan; Mirhashemi, Arman; Lee, Jae-Ho

doi:10.1038/s41598-022-13832-8

Cited by 12 publications

(22 citation statements)

References 92 publications

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“…The results show that the system efficiency can be improved by 14% and the energy consumption can be improved by 5% at the cost of 14% of the environmental impact, and the system efficiency can be improved by 13% and 5% of the environmental factors at the cost of 27% of the energy consumption. Impact is reduced [19].…”

Section: State Of the Artmentioning

confidence: 99%

Collaborative Control and Optimization Mechanism of Thermal Management of New Energy Vehicles

Huang

2022

Advances in Multimedia

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Global issues such as global warming, rising sea level, melting Arctic and Antarctic glaciers, deterioration of the natural environment, and depletion of fossil energy have attracted increasing attention. As the concept of environmental protection has become increasingly popular, the concept of new energy automobiles has been proposed to keep the heat up. Especially in recent years, with the advantages of energy conservation, environmental protection, and low noise, new energy automobiles have changed from concept to industry and have been generally accepted and recognized by consumers in the consumer market. The increasingly stringent energy crisis and emission regulations have put forward more stringent requirements for modern automobiles. The thermal management of the new generation of intelligent automobiles is not only limited to simply solving the problem of engine heat dissipation but also involves reliability, power, economy, emissions, and comfort. It is an important vehicle development technology with many performances such as performance. The integrated thermal management of new energy vehicles includes engine cooling, oil cooling, air conditioning refrigeration, HVAC heating, supercharged intercooling, low cycle thermal fatigue, and thermal damage. For new energy vehicles such as hybrid and pure electric vehicles, it also includes motor cooling, motor controller cooling, and power battery temperature control. For the purpose of vehicle thermal management optimization design, this paper innovatively proposes IVTM technical solutions, relying on multidimensional numerical calculation coupling and multiobjective collaborative optimization control to integrate system design, scheme evaluation, performance analysis, dynamic control, and collaborative optimization. Through the integrated thermal management collaborative control strategy based on the full operating conditions of the new energy vehicle, the comprehensive improvement of multiple evaluation indicators such as system design performance, thermal management, and control performance and economy is achieved.

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Section: State Of the Artmentioning

confidence: 99%

Collaborative Control and Optimization Mechanism of Thermal Management of New Energy Vehicles

Huang

2022

Advances in Multimedia

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“…This section considers the numerical and graphical solutions to the nonlinear dimensionless ODEs ( 16) and ( 17) depending on the coupled boundary conditions (18) and (19). The graphical solutions are presented as a consequence of velocity, temperature, skin friction coefficient, pressure and local Nusselt number.…”

Section: Discussion and Resultsmentioning

confidence: 99%

“…Bilal et al 17 discussed the impact of the prominent thermal radiation parameter on the heat transfer properties of a nanofluid flowing past a porous stretching sheet. Sullivan et al 18 implemented deep learning algorithm to study the thermal radiation impact on the hybrid nanofluid. Additional studies with the consideration of thermal radiation can be seen in the refs.…”

Section: Introductionmentioning

confidence: 99%

Transport properties of two-dimensional dissipative flow of hybrid nanofluid with Joule heating and thermal radiation

Alqahtani

Sidi

Khan

et al. 2022

Sci Rep

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The important feature of the current work is to consider the pressure variation, heat transport, and friction drag in the hydromagnetic radiative two-dimensional flow of a hybrid nanofluid depending on the viscous dissipation and Joule heating across a curved surface. The curved surface has been considered with the binary heating process called as prescribed heat flux and surface temperature. The basic partial differential equation (PDEs) has been converted into the non-dimensional ordinary differential equations (ODEs) by applying some specified dimensionless transformations. The bvp4c built-in package in MATLAB has been considered to find the numerical solution of the consequential equations. The graphical results have been plotted in terms of pressure, friction drag, velocity, temperature, and heat transport. Several important results have also been plotted for the plan level surface $$($$ ( The condition of $$K\to \infty )$$ K → ∞ ) . It is found that the heat transport rate respectively reduces and enhances with the enhancement of radiation parameter and Hartmann number as well as the friction drag is enhancing with the high-volume fraction of nanoparticles and Hartmann number. Moreover, enhancing curvature parameter, enhances the friction drag and declines the heat transport rate. The current work renders uncountable applications in several engineering and industrial systems like electronic bulbs, electric ovens, geysers, soil pollution, electric kettle, fibrous insulation, etc. Moreover, the heating as well as the cooling systems of electrical, digital, and industrial instruments, are controlled by the heat transport in fluids. Thus, it is important to use such flows in these types of instruments.

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“…Furthermore, when the modulating signals are time-varying, the reflecting waves can be controlled in the frequency domain. Recently, the metasurface shows a tendency for multidisciplinary intersection, according to some of the latest research results [ 90 , 269 , 270 , 271 , 272 , 273 , 274 , 275 ].…”

Section: The Development In the Futurementioning

confidence: 99%

Recent Advances in Reconfigurable Metasurfaces: Principle and Applications

et al. 2023

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Metasurfaces have shown their great capability to manipulate electromagnetic waves. As a new concept, reconfigurable metasurfaces attract researchers’ attention. There are many kinds of reconfigurable components, devices and materials that can be loaded on metasurfaces. When cooperating with reconfigurable structures, dynamic control of the responses of metasurfaces are realized under external excitations, offering new opportunities to manipulate electromagnetic waves dynamically. This review introduces some common methods to design reconfigurable metasurfaces classified by the techniques they use, such as special materials, semiconductor components and mechanical devices. Specifically, this review provides a comparison among all the methods mentioned and discusses their pros and cons. Finally, based on the unsolved problems in the designs and applications, the challenges and possible developments in the future are discussed.

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Deep learning based analysis of microstructured materials for thermal radiation control

Cited by 12 publications

References 92 publications

Collaborative Control and Optimization Mechanism of Thermal Management of New Energy Vehicles

Collaborative Control and Optimization Mechanism of Thermal Management of New Energy Vehicles

Transport properties of two-dimensional dissipative flow of hybrid nanofluid with Joule heating and thermal radiation

Recent Advances in Reconfigurable Metasurfaces: Principle and Applications

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