Simulation of spiral tube during melting utilizing multi-type nanoparticles

[1]  Asad-ur-rehman,et al.  Theoretical study of MHD electro-osmotically flow of third-grade fluid in micro channel , 2022, Appl. Math. Comput..

[2]  Faris Alzahrani,et al.  Combined impact of Cattaneo-Christov double diffusion and radiative heat flux on bio-convective flow of Maxwell liquid configured by a stretched nano-material surface , 2022, Appl. Math. Comput..

[3]  Saeid Gholami Farkoush,et al.  Optimization of a biomass-driven Rankine cycle integrated with multi-effect desalination, and solid oxide electrolyzer for power, hydrogen, and freshwater production , 2022, Desalination.

[4]  M. Selim,et al.  Heat transfer treatment of nanomaterial with considering turbulator effects , 2022, International Communications in Heat and Mass Transfer.

[5]  Chengqi She,et al.  Risk-Averse Multi-Objective Optimization of Multi-Energy Microgrids Integrated with Power-to-hydrogen technology, Electric Vehicles and Data Center under a Hybrid Robust-Stochastic Technique , 2022, Sustainable Cities and Society.

[6]  A. Alavi,et al.  Impact of new multiple twisted tapes on treatment of solar heat exchanger , 2022, The European Physical Journal Plus.

[7]  M. Selim,et al.  Modeling for solidification of paraffin equipped with nanoparticles utilizing fins , 2022, Journal of Energy Storage.

[8]  M. Sheikholeslami,et al.  Thermal improvement of linear Fresnel solar system utilizing Al2O3-water nanofluid and multi-way twisted tape , 2022, International Journal of Thermal Sciences.

[9]  Yinghong Qin.  Numerical modeling of energy storage unit during freezing of paraffin utilizing Al2O3 nanoparticles and Y-shape fin , 2021, Journal of Energy Storage.

[10]  M. Sheikholeslami,et al.  Numerical simulation of effect of non-uniform solar irradiation on nanofluid turbulent flow , 2021, International Communications in Heat and Mass Transfer.

[11]  H. M. Baskonus,et al.  Almost sectorial operators on Ψ‐Hilfer derivative fractional impulsive integro‐differential equations , 2021, Mathematical Methods in the Applied Sciences.

[12]  M. Alizadeh,et al.  Performance enhancement of a maple leaf-shaped latent heat energy storage unit by adding nanoparticles and leaf vein fins , 2021, Journal of Energy Storage.

[13]  Mashhour A. Alazwari,et al.  Simulation of hybrid nanofluid flow within a microchannel heat sink considering porous media analyzing CPU stability , 2021, Journal of Petroleum Science and Engineering.

[14]  Yinghong Qin.  Nanofluid heat transfer within a pipe equipped with external device , 2021 .

[15]  M. Selim,et al.  Enhancement in Thermal Energy and Solute Particles Using Hybrid Nanoparticles by Engaging Activation Energy and Chemical Reaction over a Parabolic Surface via Finite Element Approach , 2021, Fractal and Fractional.

[16]  SAIMA RASHID,et al.  SOME FURTHER EXTENSIONS CONSIDERING DISCRETE PROPORTIONAL FRACTIONAL OPERATORS , 2021, Fractals.

[17]  Sheraz Aslam,et al.  Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program , 2021, Energies.

[18]  Yinghong Qin.  Effect of inclusion of nanoparticles on unsteady heat transfer , 2021, Applied Nanoscience.

[19]  Yinghong Qin.  Simulation of MHD impact on nanomaterial irreversibility and convective transportation through a chamber , 2021, Applied Nanoscience.

[20]  Yu-Ming Chu,et al.  On approximating the arc lemniscate functions , 2021, Indian Journal of Pure and Applied Mathematics.

[21]  N. Abu‐Hamdeh,et al.  Nanomaterial transportation and exergy loss modeling incorporating CVFEM , 2021 .

[22]  A. Nabizadeh,et al.  An optimization study of solidification procedure in a wavy- wall storage unit considering the impacts of NEPCM and curved fin , 2021 .

[23]  M. Khan,et al.  Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non‐Newtonian fluid between two rotating disks , 2021, Mathematical Methods in the Applied Sciences.

[24]  Wissam H. Alawee,et al.  Heat recovery application of nanomaterial with existence of turbulator , 2021 .

[25]  Y. Chu,et al.  Examination of the nanofluid convective instability of vertical constant throughflow in a porous medium layer with variable gravity , 2021, Applied Nanoscience.

[26]  Shao-Wen Yao,et al.  Hybrid nanomaterial treatment within a permeable tank considering irreversibility , 2021 .

[27]  Y. Chu,et al.  SHARP POWER MEAN BOUNDS FOR THE TANGENT AND HYPERBOLIC SINE MEANS , 2021 .

[28]  Tie-Hong Zhao,et al.  Concavity and bounds involving generalized elliptic integral of the first kind , 2021, Journal of Mathematical Inequalities.

[29]  Adnan Abbas,et al.  Minimization of energy consumption by building shape optimization using an improved Manta-Ray Foraging Optimization algorithm , 2021 .

[30]  Yi-Peng Xu,et al.  Optimal structure design of a PV/FC HRES using amended Water Strider Algorithm , 2021 .

[31]  Bahman Taheri,et al.  Model identification of the Proton Exchange Membrane Fuel Cells by Extreme Learning Machine and a developed version of Arithmetic Optimization Algorithm , 2021 .

[32]  Yi-Peng Xu,et al.  Optimal long-term prediction of Taiwan’s transport energy by convolutional neural network and wildebeest herd optimizer , 2021 .

[33]  N. Abu‐Hamdeh,et al.  Nanoparticle enhanced PCM exergy loss and thermal behavior by means of FVM , 2020 .

[34]  N. Abu‐Hamdeh,et al.  Approaches for expedition of discharging of PCM involving nanoparticles and radial fins , 2020 .

[35]  Y. Chu,et al.  Simulation based on FVM for influence of nanoparticles on flow inside a pipe enhanced with helical tapes , 2020, Applied Nanoscience.

[36]  Y. Chu,et al.  Investigation of nano powders influence on melting process within a storage unit , 2020 .

[37]  Y. Chu,et al.  Hybrid ferrofluid along with MWCNT for augmentation of thermal behavior of fluid during natural convection in a cavity , 2020, Mathematical Methods in the Applied Sciences.

[38]  Y. Chu,et al.  Annulus shape tank with convective flow in a porous zone with impose of MHD , 2020 .

[39]  M. Jafaryar,et al.  Nanoparticles for improving the efficiency of heat recovery unit involving entropy generation analysis , 2020 .

[40]  Tie-hong Zhao,et al.  Sharp bounds for the Toader mean of order 3 in terms of arithmetic, quadratic and contraharmonic means , 2020 .

[41]  Y. Chu,et al.  On some refinements for inequalities involving zero-balanced hypergeometric function , 2020 .

[42]  M. Jafaryar,et al.  Acceleration of discharge process of clean energy storage unit with insertion of porous foam considering nanoparticle enhanced paraffin , 2020 .

[43]  Y. Chu,et al.  A sharp double inequality involving generalized complete elliptic integral of the first kind , 2020 .

[44]  M. Tohidi,et al.  Solidification expedition of Phase Change Material in a triplex-tube storage unit via novel fins and SWCNT nanoparticles , 2020 .

[45]  M. Joseph,et al.  An experimental investigation on the evaporation of polystyrene encapsulated phase change composite material based nanofluids , 2020 .

[46]  Y. Chu,et al.  Inequalities for generalized trigonometric and hyperbolic functions with one parameter , 2020, Journal of Mathematical Inequalities.

[47]  S. Nada,et al.  Integrative passive and active cooling system using PCM and nanofluid for thermal regulation of concentrated photovoltaic solar cells , 2019, Energy Conversion and Management.

[48]  K. Sopian,et al.  Experimental investigation of using nano-PCM/nanofluid on a photovoltaic thermal system (PVT): Technical and economic study , 2019, Thermal Science and Engineering Progress.

[49]  Yulong Ding,et al.  Thermal energy storage of molten salt –based nanofluid containing nano-encapsulated metal alloy phase change materials , 2019, Energy.

[50]  Yu-Ming Chu,et al.  Quadratic transformation inequalities for Gaussian hypergeometric function , 2018, Journal of Inequalities and Applications.

[51]  M. Sheikholeslami.  Numerical simulation for solidification in a LHTESS by means of nano-enhanced PCM , 2018 .

[52]  Xuelai Zhang,et al.  Latent heat of fusion prediction for nanofluid based phase change material , 2017 .

[53]  R. Velraj,et al.  Solidification characteristics of water based graphene nanofluid PCM in a spherical capsule for cool thermal energy storage applications , 2016 .

[54]  Y. Chu,et al.  Concavity of the error function with respect to Hölder means , 2016 .

[55]  Y. Chu,et al.  Convexity and concavity of the complete elliptic integrals with respect to Lehmer mean , 2015 .

[56]  Y. Chu,et al.  Optimal evaluation of a Toader-type mean by power mean , 2015, Journal of Inequalities and Applications.

[57]  Zhen-Hang Yang,et al.  Monotonicity properties of a function involving the psi function with applications , 2015 .

[58]  Hohyun Lee,et al.  Nanofluid PCMs for thermal energy storage: Latent heat reduction mechanisms and a numerical study of effective thermal storage performance , 2014 .

[59]  Y. Chu,et al.  Sharp bounds for the Neuman mean in terms of the quadratic and second Seiffert means , 2014, Journal of Inequalities and Applications.

[60]  Y. Chu,et al.  Sharp bounds for neuman-sándor mean in terms of the convex combination of quadratic and first Seiffert means , 2014 .

[61]  Y. Chu,et al.  OPTIMAL BOUNDS FOR NEUMAN-S ´ ANDOR MEAN IN TERMS OF THE CONVEX COMBINATION OF LOGARITHMIC AND QUADRATIC OR CONTRA-HARMONIC MEANS , 2014 .

[62]  J. Kenny,et al.  Effect of nanoparticles on heat capacity of nanofluids based on molten salts as PCM for thermal energy storage , 2013, Nanoscale Research Letters.

[63]  P. Chandrasekaran,et al.  Role of PCM based nanofluids for energy efficient cool thermal storage system , 2013 .

[64]  Yu-Ming Chu,et al.  Optimal Bounds for Neuman-Sándor Mean in Terms of the Convex Combinations of Harmonic, Geometric, Quadratic, and Contraharmonic Means , 2012 .

[65]  Dongsheng Zhu,et al.  Preparation and Melting/Freezing Characteristics of Cu/Paraffin Nanofluid as Phase-Change Material (PCM) , 2010 .