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| 1 | Convective heat and mass transfer in MHD mixed convection flow of Jeffrey nanofluid over a radially stretching surface with thermal radiation显示文摘Mixed convection flow of magnetohydrodynamic(MHD) Jeffrey nanofluid over a radially stretching surface with radiative surface is studied. Radial sheet is considered to be convectively heated. Convective boundary conditions through heat and mass are employed. The governing boundary layer equations are transformed into ordinary differential equations. Convergent series solutions of the resulting problems are derived. Emphasis has been focused on studying the effects of mixed convection, thermal radiation, magnetic field and nanoparticles on the velocity, temperature and concentration fields. Numerical values of the physical parameters involved in the problem are computed for the local Nusselt and Sherwood numbers are computed. | M.BILAL ASHRAF T.HAYAT A.ALSAEDI S.A.SHEHZAD | 2015 | Journal of Central South University2015，22，3： | 6 |
| 2 | Effects of Variable Thermal Conductivity and Non-linear Thermal Radiation Past an Eyring Powell Nanofluid Flow with Chemical Reaction显示文摘Present analysis discusses the boundary layer flow of Eyring Powell nanofluid past a constantly moving surface under the influence of nonlinear thermal radiation. Heat and mass transfer mechanisms are examined under the physically suitable convective boundary condition. Effects of variable thermal conductivity and chemical reaction are also considered. Series solutions of all involved distributions using Homotopy Analysis method(HAM) are obtained.Impacts of dominating embedded flow parameters are discussed through graphical illustrations. It is observed that thermal radiation parameter shows increasing tendency in relation to temperature profile. However, chemical reaction parameter exhibits decreasing behavior versus concentration distribution. | M.Ramzan M.Bilal Shamsa Kanwal Jae Dong Chung | 2017 | Communications in Theoretical Physics2017，67，6： | 1 |
| 3 | Convective heat and mass transfer effects in three-dimensional flow of Maxwell fluid over a stretching surface with heat source显示文摘Heat and mass transfer effects in three-dimensional flow of Maxwell fluid over a stretching surface were addressed.Analysis was performed in the presence of internal heat generation/absorption. Concentration and thermal buoyancy effects were accounted. Convective boundary conditions for heat and mass transfer analysis were explored. Series solutions of the resulting problem were developed. Effects of mixed convection, internal heat generation/absorption parameter and Biot numbers on the dimensionless velocity, temperature and concentration distributions were illustrated graphically. Numerical values of local Nusselt and Sherwood numbers were obtained and analyzed for all the physical parameters. It is found that both thermal and concentration boundary layer thicknesses are decreasing functions of stretching ratio. Variations of mixed convection parameter and concentration buoyancy parameter on the velocity profiles and associated boundary layer thicknesses are enhanced. Velocity profiles and temperature increase in the case of internal heat generation while they reduce for heat absorption. Heat transfer Biot number increases the thermal boundary layer thickness and temperature. Also concentration and its associated boundary layer are enhanced with an increase in mass transfer Biot number. The local Nusselt and Sherwood numbers have quite similar behaviors for increasing values of mixed convection parameter, concentration buoyancy parameter and Deborah number. | T.Hayat M.Bilal Ashraf A.Alsaedi S.A.Shehzad | 2015 | Journal of Central South University2015，22，2： | 1 |
| 4 | Thermally Radiative Rotating Magneto-Nanofluid Flow over an Exponential Sheet with Heat Generation and Viscous Dissipation:A Comparative Study显示文摘This article examines a mathematical model to analyze the rotating flow of three-dimensional water based nanofluid over a convectively heated exponentially stretching sheet in the presence of transverse magnetic field with additional effects of thermal radiation,Joule heating and viscous dissipation.Silver(Ag),copper(Cu),copper oxide(Cu O),aluminum oxide(Al_2O_3)and titanium dioxide(Ti O_2)have been taken under consideration as the nanoparticles and water(H_2O)as the base fluid.Using suitable similarity transformations,the governing partial differential equations(PDEs)of the modeled problem are transformed to the ordinary differential equations(ODEs).These ODEs are then solved numerically by applying the shooting method.For the particular situation,the results are compared with the available literature.The effects of different nanoparticles on the temperature distribution are also discussed graphically and numerically.It is witnessed that the skin friction coefficient is maximum for silver based nanofluid.Also,the velocity profile is found to diminish for the increasing values of the magnetic parameter. | M.Sagheer M.Bilal S.Hussain R.N.Ahmed | 2018 | Communications in Theoretical Physics2018，69，3： | 1 |
| 5 | Upshot of Chemical Species and Nonlinear Thermal Radiation on Oldroyd-B Nanofluid Flow Past a Bi-directional Stretched Surface with Heat Generation/Absorption in a Porous Media显示文摘A three-dimensional mathematical model is developed to examine the flow of nonlinear thermal radiation Oldroyd-B nanofluid past a bidirectional linearly stretched surface in a porous medium. The flow is induced by temperature dependent thermal conductivity, chemical reaction and convective heat and mass conditions. Novel characteristics of Brownian motion and thermophoresis are accompanied by magnetohydrodynamic and heat generation/absorption.Self-similar transformations are employed to convert the system of nonlinear partial differential equations to a system of ordinary differential equations with high nonlinearity and are solved by strong analytic technique named as Homotopy Analysis method(HAM). Effects of varied arising parameters on involved distributions are reflected through graphical illustrations. From this study, it is perceived that strong magnetic field hinders the fluid's motion and leads to rise in temperature that eventually lowers heat transfer rate from the surface. Further, decrease in heat transfer rate is also observed for enhanced values of thermal radiation parameter. To validate our results, a comparison with already published paper in limiting case is also given and results are found in excellent oncurrence; hence reliable results are being presented. | Dian-Chen Lu M.Ramzan M.Bilal Jae Dong Chung Umer Farooq | 2018 | Communications in Theoretical Physics2018，69，7： | 1 |
| 6 | Perovskite Single Crystals: Synthesis, Properties, and Applications显示文摘Perovskite single crystals have gained enormous attention in recent years due to their facile synthesis and excellent optoelectronic properties including the long carrier diffusion length,high carrier mobility,low trap density,and tunable absorption edge ranging from ultra-violet(UV)to near-infrared(NIR),which offer potential for applications in solar cells,photodetectors(PDs),lasers,etc.In this review,we summarized the synthesis,properties,and applications of organic-inorganic mixed and all-inorganic perovskite single crystals,particularly those through the solution synthesis approach.Challenges towards the crystal growth and stability with future perspectives were also briefly described at the end of this paper. | Shan-Shan Rong M.Bilal Faheem Yan-Bo Li | 2021 | Journal of Electronic Science and Technology2021，19，2： | 1 |
| 7 | Charged Noncommutative Wormhole Solutions via Power-Law f(T) Models显示文摘In this paper,we explore static spherically symmetric charged wormhole solutions in extended teleparallel gravity taking power-law f(T) models.We consider noncommutative geometry under Lorentzian distribution.In order to obtain matter components,we develop field equations using effective energy-momentum tensor for non-diagonal tetrad.We explore solutions by considering various viable power-law f(T) models,which also include teleparallel gravity case.The violation of energy conditions obtain by exotic matter to form wormhole solutions in teleparallel case while,physical acceptable wormhole solutions exist for charged noncommutative wormhole solutions for some cases of power-law models.The effective energy-momentum tensor and charge are responsible for the violation of the energy conditions.Also,we check the equilibrium condition for these solutions.The equilibrium condition meets for the teleparallel case and some power-law solutions while remaining solutions are either in less equilibrium or in disequilibrium situation. | Shamaila Rani Abdul Jawad M.Bilal Amin | 2016 | Communications in Theoretical Physics2016，65，10： | 0 |
| 8 | MHD Stagnation Point Flow of Williamson Fluid over a Stretching Cylinder with Variable Thermal Conductivity and Homogeneous/Heterogeneous Reaction显示文摘The present study reveals the effect of homogeneous/hetereogeneous reaction on stagnation point flow of Williamson fluid in the presence of magnetohydrodynamics and heat generation/absorption coefficient over a stretching cylinder. Further the effects of variable thermal conductivity and thermal stratification are also considered. The governing partial differential equations are converted to ordinary differential equations with the help of similarity transformation.The system of coupled non-linear ordinary differential equations is then solved by shooting technique. MATLAB shooting code is validated by comparison with the previously published work in limiting case. Results are further strengthened when the present results are compared with MATLAB built-in function bvp4c. Effects of prominent parameters are deliberated graphically for the velocity, temperature and concentration profiles. Skin-friction coefficient and Nusselt number for the different parameters are investigated with the help of tables. | M.Bilal M.Sagheer S.Hussain Y.Mehmood | 2017 | Communications in Theoretical Physics2017，67，6： | 0 |
| 9 | Darcy-Forchheimer Hybrid Nano Fluid Flow with Mixed Convection Past an Inclined Cylinder显示文摘This article aims to investigate the Darcy Forchhemier mixed convection flow of the hybrid nanofluid through an inclined extending cylinder.Two different nanoparticles such as carbon nanotubes(CNTs)and iron oxide Fe3O4 have been added to the base fluid in order to prepare a hybrid nanofluid.Nonlinear partial differential equations for momentum,energy and convective diffusion have been changed into dimensionless ordinary differential equations after using Von Karman approach.Homotopy analysis method(HAM),a powerful analytical approach has been used to find the solution to the given problem.The effects of the physical constraints on velocity,concentration and temperature profile have been drawn as well for discussion purpose.The numerical outcomes have been carried out for the drag force,heat transfer rate and diffusion rate etc.The Biot number of heat and mass transfer affects the fluid temperature whereas the Forchhemier parameter and the inclination angle decrease the velocity of the fluid flow.The results show that hybrid nanofluid is the best source of enhancing heat transfer and can be used for cooling purposes as well. | M.Bilal Imran Khan Taza Gul Asifa Tassaddiq Wajdi Alghamdi Safyan Mukhtar Poom Kumam | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 10 | A Numerical Investigation of 3D MHD Rotating Flow with Binary Chemical Reaction,Activation Energy and Non-Fourier Heat Flux显示文摘In this investigation we analyze the rotating three-dimensional magnetohydrodynamic flow of Maxwell fluid in attendance of binary chemical reaction with activation energy. Furthermore, effects of non-Fourier heat flux are taken into account. Formulation is done in the presence of heat and mass convective boundary conditions. Self-similar forms from boundary layer equations are obtained using apposite transformations. Numerical solution is obtained via built-in bvp-4c function in MATLAB for the system of differential equations. Effects of ensuing parameters on flow distributions are portrayed graphically. It is witnessed that increasing values of rotational parameter lowers the velocity profile and both Biot numbers have escalating effect on temperature and concentration distributions. A comparative study to a previously done investigation is also included to corroborate our results. | Dian-Chen Lu M.Ramzan M.Bilal Jae Dong Chung Umer Farooq | 2018 | Communications in Theoretical Physics2018，69，7： | 0 |
| 11 | Modeling&Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects显示文摘Recently,outstanding identification rates in image classification tasks were achieved by convolutional neural networks(CNNs).to use such skills,selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB camera.Defects must be detected early to take timely corrective action due to production concerns.For image classification up till now,a model-based method has been utilized,which indicated the predicted reflection characteristics of surface defects in comparison to flaw-free surfaces.The problem of detecting steel surface defects has grown in importance as a result of the vast range of steel applications in end-product sectors such as automobiles,households,construction,etc.Themanual processes for detections are time-consuming,labor-intensive,and expensive.Different strategies have been used to automate manual processes,but CNN models have proven to be the most effective rather than image processing andmachine learning techniques.By using differentCNNmodels with fine-tuning,easily compare their performance and select the best-performing model for the same kinds of tasks.However,it is important that using different CNN models either from fine tuning can be computationally expensive and time-consuming.Therefore,our study helps the upcoming researchers to choose the CNN without considering the issues of model complexity,performance,and computational resources.In this article,the performance of various CNN models like Visual Geometry Group,VGG16,VGG19,ResNet152,ResNet152V2,Xception,InceptionV3,InceptionResNetV2,NASNetLarge,MobileNetV2,and DenseNet201 with transfer learning techniques are evaluated.These models were chosen based on their popularity and impact in the field of computer vision research,as well as their performance on benchmark datasets.According to the outcomes,DenseNet201 outperformed the other CNN models and had the greatest detection rate on the NEU dataset,falling in at 98.37 percent. | Nadeem Jabbar Chaudhry M.Bilal Khan M.Javaid Iqbal Siddiqui Muhammad Yasir | 2022 | Journal on Artificial Intelligence2022，4，4： | 0 |
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