Thermal science and engineering progress
About: Thermal science and engineering progress is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Materials science & Mechanics. It has an ISSN identifier of 2451-9049. Over the lifetime, 599 publications have been published receiving 1351 citations. The journal is also known as: Thermal science & engineering progress.
TL;DR: In this paper , a comprehensive overview of the latest developments of numerical methods in microchannel heat sinks, as well as to provide a useful benchmark for future research is presented, including conventional computational fluid dynamics (CFD) simulation methods, molecular dynamics simulation (MDS), Lattice Boltzmann methods (LBM), direct simulation Monte Carlo (DSMC), and other techniques such as machine learning (ML) approach, artificial neural network (ANN) method, genetic algorithm (GA), Taguchi algorithm (TA), and optimisation methods.
Abstract: • The conventional CFD method in microchannel is critically reviewed. • The advantages and disadvantages of CFD in microchannel are analyzed. • The application of LBM, MDS and DSMC are discussedin detail. • Three optimisationand prediction methodsin microchannels are compared. • The optimization principles of TM, GA and ANN are analyzedand discussed. Nowadays, microchannels have been widely utilized in various multidisciplinary fields, and as a consequence, some new and different requirements for microchannels in the process of practical application are required, such as structure, working fluid, and operating conditions, etc. This article reviews the current research achievement of microchannels, as well as the thermodynamic research on microchannels with different structures in the past five years, but mainly focuses on the numerical methods. The purpose of this review article aims to summarize a comprehensive overview of the latest developments of numerical methods in microchannel heat sinks, as well as to provide a useful benchmark for future research. The present article reviews straightforward on the most commonly used numerical methods for solving governing equations and optimizing data, including conventional computational fluid dynamics (CFD) simulation methods, molecular dynamics simulation (MDS), Lattice Boltzmann methods (LBM), direct simulation Monte Carlo (DSMC), and other techniques such as machine learning (ML) approach, artificial neural network (ANN) method, genetic algorithm (GA), Taguchi algorithm (TA), as well as optimisation methods. This review will not only help to understand the physical mechanism of microchannels in different application fields but also help to fill in the gaps in related research and provide research methods for future numerical studies.
TL;DR: The finite element analysis on the transient magnetohydrodynamic three-dimensional rotating flow of Maxwell and tangent hyperbolic nanofluid flow past a bidirectional stretching sheet with Cattaneo Christov heat flux model has been explored numerically as discussed by the authors .
Abstract: The finite element analysis on the transient magnetohydrodynamic three-dimensional rotating flow of Maxwell and tangent hyperbolic nanofluid flow past a bidirectional stretching sheet with Cattaneo Christov heat flux model has been explored numerically. The thermophoresis and Brownian motion effects are taken into account in the flow governing boundary layer equations. Appropriate similarity transformations are applied for the principal PDEs to transform into nonlinear ODEs. A widely recognized Numerical scheme known as the Finite Element Method is employed to solve the resultant convective boundary layer balances. The portrayal of certain physical parameters on the flow model is portrayed via figures and numerical tables. The temperature and concentration distribution for tangent hyperbolic nanofluid is prominently than that of Maxwell nanofluid, but inverse trend is observed for velocities profiles. An outstanding comparison with existing literature ensures a remarkable accuracy and concludes the rate of convergence is extraordinary for nonlinear differential systems. These examinations are relevant to the field of plastic films, crystal growing, paper production, and cooling of metal sheets.
TL;DR: In this article , a comprehensive review of the state-of-the-art background of heat pipe for various waste heat recovery systems (WHRSs) is provided, focusing on a number of the most prevalent applications of utilizing heat pipe.
Abstract: Heat pipes are becoming gradually more popular as a passive heat transfer technology due to their effective performance. The heat pipe heat exchanger (HPHE) is an effective tool in recovering waste heat. The present paper provides a comprehensive review of the state-of-the-art background of heat pipe for various waste heat recovery systems (WHRSs). Furthermore, the present paper focuses on a number of the most prevalent applications of utilizing heat pipe for WHR such as heating ventilating and air conditioning (HVAC) systems, solar photovoltaic, water desalination, ceramic kiln industry, steel industry, internal combustion engines, generators, and electronic components in which the heat pipe introduces several benefits. The waste heat resource, type and description of the employed heat pipe, and the working fluid for each application are studied comprehensively. Internal and external thermal modeling techniques, theories, and methodologies are presented for various applications. Based on the energy efficiency improvement, economic investment, and environmental impacts, the employing of HPHE in different applications is a successful and promising technology. Finally, the current challenges and future perspectives related to the use of the heat pipe for WHR in various applications are introduced.
TL;DR: In this paper , an extensive literature review is conducted for three widely used passive techniques including porous media, nanofluids, and microorganisms, and the overwhelming majority of studies proved the contributing role of microorganisms on heat transfer enhancement.
Abstract: A current common topic of study among scientists and engineers is how to reduce energy usage. As the loading power of engineering devices is constantly upgrading, while they are becoming more and more compacted according to the market demand and in terms of less material consumption, thermal management is getting more complicated. Accordingly, three techniques are proposed to enhance heat transfer including passive, active, and compound (combination of passive and active) methods. Active methods enjoy external power sources, while passive methods mostly rely on modification of heat exchange surfaces without the need for any auxiliary tools. In the current paper, an extensive literature review is conducted for three widely used passive techniques including porous media, nanofluids, and microorganisms. Based on studies reviewed here, although hybrid (combination of more than one heat transfer enhancement method) passive methods could accelerate the rate of heat transfer, their productivity depends on whether the heat transfer enhancement acquired compensates the further induced pressure drops or not. Also, although an inconsistency was observed among published articles about the role of microorganisms’ presence in heat transfer intensification of nanofluid flow inside the porous medium, the overwhelming majority of studies proved the contributing role of microorganisms on heat transfer enhancement. There is a great deal of innovative thinking incorporated throughout this review article regarding future studies, and it concludes with key questions for further investigations.
TL;DR: In this paper , the steady 3D flow of Cross nanofluid, having nano-particles, gyrotactic micro-organisms as well as bioconvection mechanism is scrutinized.
Abstract: The objective of current investigation is to scrutinize the steady 3D flow of Cross nanofluid, having nano-particles, gyrotactic micro-organisms as well as bioconvection mechanism. Bioconvection fluid is made via the collective influences of Lorentz forces a magnetic-field thru the link of motile micro-organisms with nano-particles. The significance of convection can be established in various micro-biological methods, for example bio-technology and biosensors connected to enhanced mixing and mass transference. The many uses of microbial bio-logical mobility and nano-particles within mechanical energy, biosensors, manufacturing and bio-informatics bio-technology have gain the consideration of scientists in current field. Furthermore, convective boundary conditions are briefly considered in this study. The set of non-linear PDEs of Cross model are converted into set of non-linear ODEs by mean of appropriate similarity alterations then these ODEs solved by built in shooting technique (bvp4c). The significances of the non-dimensional velocity profile, temperature distribution, concentration as well as motile micro-organisms density with sundry parameters are deliberate in this article. The comprehensive breakdown of non-dimensional parameters is defined. The present work simplifies that the temperature of the Cross-fluid boosts for the higher values of Brownian motion and thermophoresis forces. While thermal field declines for higher value of S1 (thermal stratification parameter). Pictorial depiction of the density of motile micro-organisms is executed and effects are determined. Moreover, it seeks for, the non-linear research through the procedure of the (bvp4c) solutions. The significance of many somatic variables consistent to curvature parameters, bio-convection Rayeigh number, Prandtl number (Pr), radiation parameter R, thermal field, concentration field and motile density field.