Lattice Boltzmann Method for Fluid-Thermal Systems: Status, Hotspots, Trends and Outlook

Abstract

Great advances have been made with the lattice Boltzmann (LB) method for complicated fluid phenomena and fundamental thermal processes over the past three decades. This paper presents a systematic overview of the LB method from 1990 to 2018, based on bibliometric analysis and the Science Citation Index Expanded (SCI-E) database. The results show that China took the leading position in this field, followed by the USA and UK. The Chinese Academy of Sciences had the most publications, while the Los Alamos National Laboratory was first as far as highest average citation per paper and h-index are concerned. Physical Review E was the most productive journal and ''Mechanics'' was the most frequently used subject category. Keyword analysis indicated that recent research has focused on the natural convection and heat transfer of nanofluid or multiphase flow in complex porous media. Hydrothermal treatment of nanofluid with shape factor on the conditions, such as variable magnetic fields, thermal radiation and slipping boundary, were the research hotspots. Further research perspectives mainly explore the multiscale models for coupling multiple transport phenomena, morphology optimization of porous parameters, new nanoparticles with shape factor, multicomponent LB method considering Knudsen diffusion effect, LB-based hybrid methods, radiation performance or boiling-heat transfer of nanofluid, and the active control of droplets, may continue to attract more attention. Moreover, some new applications, such as phase change of metal foam, erosion induced by nanaofluid, anode circulating, 3D modeling in thermal systems with vibration, and magnetohydrodynamics microfluid devices, could be of interest going forward. INDEX TERMS Lattice Boltzmann method, fluid systems, thermal processes, multiscale modeling, multidisciplinary, bibliometrics.

Quantitative and Qualitative Analysis of Time-Series Classification Using Deep Learning

“…Bibliometrics is defined as measuring academic and organizational performance based on several indicators such as number of publications, number of citations, and collaboration networks [28]. Bibliometric analysis is a powerful tool for quantitatively investigating scientific outputs [29]. Bibliometric analysis of scholarly publications, lead to development of different metrics gaining insight into the intellectual structure of a broad academic discipline and evaluating the impact of scientific documents [30], [31].…”

An Iterative Deconvolution-Time Reversal Method with Noise Reduction, a High Resolution and Sidelobe Suppression for Active Sonar in Shallow Water Environments

“…In this paper, this situation can be met as shown in Equation (11) and then the iterative deconvolution is achieved using Equation (18). This is a similar procedure as iterative time reversal processing.…”

“…The result of MF is generated according to Equation (10). The result of generalized target reflectivity density function ρ(τ) is obtained according to Equation (18). The result of reflectivity density function of the target c(v) is obtained according to Equation (21).…”

“…As shown in Figure 1, the width of main lobe of range is 0.3 m for the MF, whereas the resolution after iterative deconvolution with iteration number being 10 is approximately a delta function. The process of iterative deconvolution is implemented as iterative time reversal processing, as shown in Equation (18). With the number of iterations increasing, the ambiguity caused by the transmitted signal is more and more removed by deconvolution.…”

“…The other way to combat noise is the design of image reconstruction, which perform Wiener filtering [15] or rational orthogonal wavelet analysis filter bank [16] to suppress noise in active radar on the basis of MIMO waveform design. The shallow water environment is a complicated media with the sea surface upward and the seafloor downward [17,18]. For active sonar in shallow water environments, since the received signal is distorted due to the time-delay and Doppler spread caused by the channel, the received signal comprises the ambiguity of both the transmitted signal and the channel.…”