Two-phase mixture numerical and soft computing-based simulation of forced convection of biologically prepared water-silver nanofluid inside a double-pipe heat exchanger with converging sinusoidal wall: Hydrothermal performance and entropy generation analysis

[1]  O. Kisi,et al.  Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms , 2022, Agricultural Water Management.

[2]  Ali Asghar Heidari,et al.  Estimating daily global solar radiation in hot semi-arid climate using an efficient hybrid intelligent system , 2022, The European Physical Journal Plus.

[3]  M. H. Doranehgard,et al.  Machine-Learning Enhanced Analysis of Mixed Biothermal Convection of Single Particle and Hybrid Nanofluids within a Complex Configuration , 2021, Industrial & Engineering Chemistry Research.

[4]  A. Shahsavar,et al.  The effect of inlet/outlet number and arrangement on hydrothermal behavior and entropy generation of the laminar water flow in a pin-fin heat sink , 2021 .

[5]  Gamal B. Abdelaziz,et al.  Performance and exergy analysis of different perforated rib designs of triple tubes heat exchanger employing hybrid nanofluids , 2021 .

[6]  M. Hatami,et al.  Effects of CuO nano powder on performance improvement and entropy production of double-pipe heat exchanger with innovative perforated turbulators , 2021, Advanced Powder Technology.

[7]  A. Shahsavar,et al.  CFD simulation of the impact of tip clearance on the hydrothermal performance and entropy generation of a water-cooled pin-fin heat sink , 2021, International Communications in Heat and Mass Transfer.

[8]  H. Oztop,et al.  Experimental and numerical investigation on the thermal performance of triple tube heat exchanger equipped with different inserts with WO3/water nanofluid under turbulent condition , 2021 .

[9]  K. Kim,et al.  Effects of water-aluminum oxide nanofluid on double pipe heat exchanger with gear disc turbulators: A numerical investigation , 2021, Journal of the Taiwan Institute of Chemical Engineers.

[10]  Ahmad Sharafati,et al.  A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups , 2021, Engineering with Computers.

[11]  Sumit Kumar Singh,et al.  Thermohydraulic behavior of concentric tube heat exchanger inserted with conical wire coil using mono/hybrid nanofluids , 2021 .

[12]  L. Sundar,et al.  Thermal performance, embodied energy and environmental CO2 emissions analyses for double pipe U-bend heat exchanger working with MWCNT/water nanofluid , 2021 .

[13]  A. Shahsavar,et al.  Thermo-hydraulic performance and entropy generation of biologically synthesized silver/water-ethylene glycol nano-fluid flow inside a rifled tube using two-phase mixture model , 2020, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[14]  P. Abhilash,et al.  Design and CFD analysis of hair pin heat exchanger using aluminium and titanium carbide nanofluids , 2020 .

[15]  I. Ahmadianfar,et al.  On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach , 2020 .

[16]  A. Shahsavar,et al.  The entropy generation analysis of forward and backward laminar water flow in a plate-pin-fin heatsink considering three different splitters , 2020 .

[17]  Boshu He,et al.  Comparisons of single-phase and two-phase models for numerical predictions of Al2O3/water nanofluids convective heat transfer , 2020 .

[18]  A. Al-Rashed,et al.  Numerical assessment on the hydrothermal behavior and irreversibility of MgO-Ag/water hybrid nanofluid flow through a sinusoidal hairpin heat-exchanger , 2020, International Communications in Heat and Mass Transfer.

[19]  M. H. Doranehgard,et al.  Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method , 2020, Journal of Thermal Analysis and Calorimetry.

[20]  J. Sarkar,et al.  Improving hydrothermal performance of hybrid nanofluid in double tube heat exchanger using tapered wire coil turbulator , 2020 .

[21]  Tibor Kmet,et al.  Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis , 2020, Atmosphere.

[22]  A. Al-Rashed,et al.  Numerical investigation of forced convection heat transfer and flow irreversibility in a novel heatsink with helical microchannels working with biologically synthesized water-silver nano-fluid , 2019, International Communications in Heat and Mass Transfer.

[23]  A. Senthil kumar,et al.  Experimental analyses on heat transfer performance of TiO2–water nanofluid in double-pipe counter-flow heat exchanger for various flow regimes , 2019, Journal of Thermal Analysis and Calorimetry.

[24]  Yuying Yan,et al.  Experimental study on the flow and heat transfer characteristics of nanofluids in double-tube heat exchangers based on thermal efficiency assessment , 2019, Energy Conversion and Management.

[25]  M. Habibi,et al.  Numerical Study of Nanofluid Convective Heat Transfer in Sinusoidal Tubes , 2019 .

[26]  O. Ighodaro,et al.  A numerical investigation of the heat transfer characteristics of water-based mango bark nanofluid flowing in a double-pipe heat exchanger , 2019, Heliyon.

[27]  Ali Sulaiman Alsagri,et al.  Laminar forced convection performance of non-Newtonian water-CNT/Fe3O4 nano-fluid inside a minichannel hairpin heat exchanger: Effect of inlet temperature , 2019, Powder Technology.

[28]  A. Shahsavar,et al.  Impact of variable fluid properties on forced convection of Fe3O4/CNT/water hybrid nanofluid in a double-pipe mini-channel heat exchanger , 2019, Journal of Thermal Analysis and Calorimetry.

[29]  A. Al-Rashed,et al.  The effects of tape insert material on the flow and heat transfer in a nanofluid-based double tube heat exchanger: Two-phase mixture model , 2019, International Journal of Mechanical Sciences.

[30]  P. Bhramara,et al.  Heat transfer and effectiveness experimentally-based analysis of wire coil with core-rod inserted in Fe3O4/water nanofluid flow in a double pipe U-bend heat exchanger , 2019, International Journal of Heat and Mass Transfer.

[31]  N. Karimi,et al.  Energetic and entropic analyses of double-diffusive, forced convection heat and mass transfer in microreactors assisted with nanofluid , 2018, Journal of Thermal Analysis and Calorimetry.

[32]  Ali J. Chamkha,et al.  Factorial experimental design for the thermal performance of a double pipe heat exchanger using Al2O3-TiO2 hybrid nanofluid , 2018, International Communications in Heat and Mass Transfer.

[33]  N. Karimi,et al.  Two-dimensional heat and mass transfer and thermodynamic analyses of porous microreactors with Soret and thermal radiation effects—An analytical approach , 2018 .

[34]  Bengt Carlsson,et al.  Gaussian process regression for monitoring and fault detection of wastewater treatment processes. , 2017, Water science and technology : a journal of the International Association on Water Pollution Research.

[35]  Rahmat Ellahi,et al.  Numerical investigation of heat exchanger effectiveness in a double pipe heat exchanger filled with nanofluid: A sensitivity analysis by response surface methodology , 2017 .

[36]  P. Bhramara,et al.  Heat transfer, friction factor and effectiveness analysis of Fe3O4/water nanofluid flow in a double pipe heat exchanger with return bend , 2017 .

[37]  M. G. Bandpy,et al.  The Influence of magnetic field on heat transfer of magnetic nanofluid in a sinusoidal double pipe heat exchanger , 2016 .

[38]  F. Hormozi,et al.  Intensification of forced convection heat transfer using biological nanofluid in a double-pipe heat exchanger , 2015 .

[39]  Chang-Ping Yu,et al.  Green synthesis of silver nanoparticles using tea leaf extract and evaluation of their stability and antibacterial activity , 2014 .

[40]  Ratko Grbic,et al.  Stream water temperature prediction based on Gaussian process regression , 2013, Expert Syst. Appl..

[41]  H. Mohammed,et al.  Thermal and hydraulic characteristics of nanofluid flow in a helically coiled tube heat exchanger , 2012 .

[42]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[43]  T. Jue.  ANALYSIS OF COMBINED THERMAL AND MAGNETIC CONVECTION FERROFLUID FLOW IN A CAVITY , 2006 .