Alexey Fedyushkin^*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1351-1364, 2024, DOI:10.32604/fdmp.2024.050267

Abstract This study is devoted to an analysis of natural convection and the emergence of delamination in an incompressible fluid encapsulated in a closed region heated from the side. Weak, medium and intensive modes of stationary laminar thermal and thermo-concentration convection are considered. It is shown that nonlinear flow features can radically change the flow structure and characteristics of heat and mass transfer. Moreover, the temperature and concentration segregation in the center of the square region display a non-monotonic dependence on the Grashof number (flow intensity). The formation of a nonstationary periodic structure of thermal convection More >

Wai Tuck Chow^*, Jia Tai Lau

Digital Engineering and Digital Twin, Vol.2, pp. 103-130, 2024, DOI:10.32604/dedt.2024.044545

Abstract This paper presents a novel approach to using supervised learning with a shallow neural network to increase the efficiency of the finite element analysis of holes under biaxial load. With this approach, the number of elements in the finite element analysis can be reduced while maintaining good accuracy. The neural network will be used to predict the maximum stress for holes of different configurations such as holes in a finite-width plate (2D), multiple holes (2D), staggered holes (2D), and holes in an infinite plate (3D). The predictions are based on their respective coarse mesh with… More >

Ramiz Gorkem Birdal^*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4015-4028, 2024, DOI:10.32604/cmc.2024.048324

Abstract Maintaining a steady power supply requires accurate forecasting of solar irradiance, since clean energy resources do not provide steady power. The existing forecasting studies have examined the limited effects of weather conditions on solar radiation such as temperature and precipitation utilizing convolutional neural network (CNN), but no comprehensive study has been conducted on concentrations of air pollutants along with weather conditions. This paper proposes a hybrid approach based on deep learning, expanding the feature set by adding new air pollution concentrations, and ranking these features to select and reduce their size to improve efficiency. In… More >

Machireddy Gnaneswara Reddy^*

Frontiers in Heat and Mass Transfer, Vol.5, pp. 1-9, 2014, DOI:10.5098/hmt.5.4

Abstract The numerical solution of transient natural convection MHD flow past a vertical cylinder embedded in a porous medium with surface temperature and concentration along with thermal radiation is presented. The temperature and concentration level at the cylinder surface are assumed to vary as power law type functions, with exponents m and n respectively in the stream wise co-ordinate. The governing boundary layer equations are converted into a non-dimensional form. A Crank-Nicolson type of implicit finite-difference method is used to solve the governing non-linear set of equations. Numerical results are obtained and presented with various thermal More >

Xinshan Zhuang^*, Shunlei Xia, Ruijie Pan

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 447-461, 2024, DOI:10.32604/fdmp.2023.042220

Abstract Clay, as the most common soil used for foundation fill, is widely used in various infrastructure projects. The physical and mechanical properties of clay are influenced by the pore solution environment. This study uses a GDS static/dynamic triaxial apparatus and nuclear magnetic resonance experiments to investigate the effects of cyclic loading on clay foundations. Moreover, the development of cumulative strain in clay is analyzed, and a fitting model for cumulative plastic strain is introduced by considering factors such as NaCl solution concentration, consolidation stress ratio, and cycle number. In particular, the effects of the NaCl… More >

Shaopeng Liu¹, Guowei Wang^2,3,*, Pengfei Liu¹, Dong Ye¹, Jian Song¹, Xing Liu¹, Yang Cheng^2,3

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.12, pp. 3045-3058, 2023, DOI:10.32604/fdmp.2023.029810

Abstract Foam drainage is the flow of liquid through the interstitial spaces between bubbles driven by capillarity and gravity and resisted by viscous damping. The so-called foam drainage gas recovery technology is a technique traditionally used to mitigate the serious bottom-hole liquid loading in the middle and late stages of gas well production. In this context, determining the optimal concentration of the bubble drainage agent is generally crucial for the proper application of this method. In this study, a combination of indoor experiments and theoretical analysis have been used to determine the pressure drop related to… More >

Qingguo Liu^1,2, Umut Hanoglu^1,2, Božidar Šarler^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09609

Abstract A simulation of reheating furnace in a steel production line where the steel billets are heated from room temperature up to 1200 ˚C, is carried out using a novel meshless solution procedure. The reheating of the steel billets before the continuous hot-rolling process should be employed to dissolve alloying elements as much as possible and redistribute the carbon. In this work, governing equations are solved by the local radial basis function collocation method (LRBFCM) in a strong form with explicit time-stepping. The solution of the diffusion equations for the temperature and carbon concentration fields is… More >

Meng Wang¹, Jun Yao¹, Dongyan Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08913

Abstract In view of the current situation of the lack of suitable calculation models for the analysis of production dynamics of fractured horizontal well with CO₂ huff and puff in shale reservoirs，based on the process and mechanism of CO₂ huff and puff, an analytical model for the production dynamics of fractured horizontal well with CO₂ huff and puff in shale reservoirs was proposed, in which took into account the changes in crude oil viscosity and volume caused by the difference in CO₂ concentration at different locations in the formation after soaking and the adsorption and desorption process of CO₂… More >

Shihong Zhang^* , Fangjing Jia, Rui Zhang

Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-5, 2017, DOI:10.5098/hmt.8.4

Abstract This article discussed the radiation and pollutant emissions characteristics of the catalytic combustion furnace based the combustion of lean natural gas-air mixtures in catalytic honeycomb monoliths and the influence of its exhaust gas on schefflera plants growth by means of theory and experiments. The radiation efficiency of the monolith alone varied from approximately 20% to 40%. The glazed tiles heated by the catalytic combustion furnace are more fine and glossy than that of conventional ones. Schefflera plants in experimental group in a greenhouse filling with catalytic combustion exhaust gas. On contrary, schefflera plants in control More >

Minghui Niu^1,#, Heng Zhang^1,#, Xiangyang Li¹, Zhibao Hu¹, Hongjiao Zhang^2,3, Zhiru Xu^2,3, Chunpu Qu^1,4,*, Guanjun Liu^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2001-2015, 2023, DOI:10.32604/phyton.2023.029350

Abstract KANADI (KAN) is a plant-specific gene that controlled the polarity development of lateral organs. It mainly acted on the abaxial characteristics of plants to make the lateral organs asymmetrical. However, it had been less identified in woody plants. In this study, the members of the KAN gene family in Populus trichocarpa were identified and analyzed using the bioinformatics method. The results showed that a total of 8 KAN family members were screened out, and each member contained the unique GARP domain and conserved region of the family proteins. Phylogenetic analysis and their gene structures revealed that all KAN genes… More >