University of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Prediction of Pressure Drop of Al2O3-Water Nanofluid in Flat Tubes Using CFD and Artificial Neural Networks113140910.7508/tpnms.2014.01.001ENH.SafikhaniDepartment of Mechanical Engineering, Amirkabir University of Technology, Tehran, I.R. IranA.AbbassiDepartment of Mechanical Engineering, Amirkabir University of Technology, Tehran, I.R. IranS.GhanamiDepartment of Mechanical Engineering, University of Sistan & Baluchestan, Zahedan, I.R. IranJournal Article20130804In the present study, Computational Fluid Dynamics (CFD) techniques and Artificial Neural Networks (ANN) are used to predict the pressure drop value (Δp ) of Al<sub>2</sub>O<sub>3</sub>-water nanofluid in flat tubes. Δp is predicted taking into account five input variables: tube flattening (H), inlet volumetric flow rate (Q<sub>i</sub> ), wall heat flux (q<sup>n</sup><sub>w</sub> ), nanoparticle volume fraction (Φ) and nanoparticle diameter (d<sub>p</sub> ). The required output data for training the ANN are taken from the results of numerical simulations. The numerical simulations of nanofluid are performed using two phase mixture model by FORTRAN programming language. The flow regime and the wall boundary conditions are assumed to be laminar and constant heat flux respectively. The ANN results are compared with the numerical simulated one and excellent agreement is observed. To view the accuracy of ANN model, statistical measures R<sup>2</sup> , RMSE and MAPE are used and it is seen that the ANN model has high accuracy in predicting the (Δp ) values. https://tpnms.usb.ac.ir/article_1409_78246c2741274a761e7ab45d98dea600.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Single Walled Carbon Nanotube Effects on Mixed Convection heat Transfer in an Enclosure: a LBM Approach1428141010.7508/tpnms.2014.01.002ENM.JafariMechanical Engineering Department, University of Technology Babol, Babol, I.R. IranM.FarhadiMechanical Engineering Department, University of Technology Babol, Babol, I.R. IranK.SedighiMechanical Engineering Department, University of Technology Babol, Babol, I.R. IranJournal Article20130921The effects of Single Walled Carbon Nanotube (SWCNT) on mixed convection in a cavity are investigated numerically. The problem is studied for different Richardson numbers (0.1-10), volume fractions of nanotubes (0-1%), and aspect ratio of the cavity (0.5-2.5) when the Grashof number is equal to 103. The volume fraction of added nanotubes to Water as base fluid are lowers than 1% to make dilute suspensions. The Study presents a numerical treatment based on LBM to model convection heat transfer of Carbon nanotube based nanofluids. A theoretical model is used for effective thermal conductivity of the nanofluid containing Carbon nanotubes. This model covers different phenomena of energy transport in nanofluids. Also, an analytical model is applied for effective viscosity of the nanofluid which includes the Brownian effect and other physical properties of nanofluids. Results show that adding a low value of SWCNT to the base fluid led to significant enhancement of convection heat transfer. Make a comparison between the obtained results and other published papers shows that Carbon nanotubes enhances the rate of convection heat transfer better than other nanoparticles.https://tpnms.usb.ac.ir/article_1410_baa90fb224b1acce6c16608cf04bcc9a.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Numerical Study of Hydro-Magnetic Nanofluid Mixed Convection in a Square Lid-Driven Cavity Heated From Top and Cooled From Bottom2942141110.7508/tpnms.2014.01.003ENA.Zare GhadiMechanical Engineering Department, University of Semnan ,Semnan, I.R. IranM.Sadegh ValipourMechanical Engineering Department, University of Semnan ,Semnan, I.R. IranJournal Article20130421In the present research mixed convection flow through a copper-water nanofluid in a driven cavity in the presence of magnetic field is investigated numerically. The cavity is heated from top and cooled from bottom while its two vertical walls are insulated. The governing equations including continuity, N-S and energy equations are solved over a staggered grid system. The study is conducted for Grashof number10<sup>3</sup> to 10<sup>5</sup>, Hartmann number 0 to 100 and volume fraction number 0 to 5% while Reynolds number is fixed at 100. Hamilton–Crosser and Brinkman models have estimated effective thermal conductivity and effective viscosity of nanofluid, respectively. It is observed that magnetic field has unconstructive effect on heat transfer process whereas nanoparticles increase heat transfer rate.https://tpnms.usb.ac.ir/article_1411_dd12285c7b70554870497c0a69287eae.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Investigation of Activation Time on Pore Size Distribution of Activated Carbon Determined with Different Methods4347141210.7508/tpnms.2014.01.004ENF.HaghighatjuChemical Engineering Department, University of Shahid Bahonar, Kerman, I.R. IranH.Hashemipour RafsanjaniChemical Engineering Department, University of Shahid Bahonar, Kerman, I.R. IranJournal Article20130619Three activated carbons are synthesized in a rotary reactor at different activation times. The adsorption isotherms of the samples are measured The pore size distribution of the samples is determined using combined Saito and Foley method, BJH method. An average potential function has been determined inside the cylindrical pores. The effect of activation time on the pore size distribution samples was investigated. In the micropore size range, as the reaction started, the SF method show the initial micropore was generated. As the activation reaction progress, the micropore volume is developed and widened and therefore area under the PSD curve is increased. Improving the reaction, the pore overlapping was carried out and this occurrence causes decreasing in micropore volume. In the mesopore size range, mesopore volume is increased as the reaction progress. It is acceptable because both developing and overlapping of pores causes improvement of mesopore (and macropore) volumehttps://tpnms.usb.ac.ir/article_1412_237914eb67d974b146f9399db56b38ad.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Investigation of Heat Transfer Enhancement or Deterioration of Variable Properties Al2O3-EG-water Nanofluid in Buoyancy Driven Convection4864141310.7508/tpnms.2014.01.005ENH.KhorasanizadehDepartment of Thermo-fluids, Faculty of Mechanical Engineering, University of Kashan, Kashan, I.R. IranM. M.FakhariDepartment of Thermo-fluids, Faculty of Mechanical Engineering, University of Kashan, Kashan, I.R. IranS. P.GhaffariDepartment of Thermo-fluids, Faculty of Mechanical Engineering, University of Kashan, Kashan, I.R. IranJournal Article20130404In this study, the natural convection heat transfer of variable properties Al<sub>2</sub>O<sub>3</sub>-EG-water nanofluid in a differentially heated rectangular cavity has been investigated numerically. The governing equations, for a Newtonian fluid, have been solved numerically with a finite volume approach. The influences of the pertinent parameters such as <em>Ra</em> in the range of 10<sup>3</sup>-10<sup>7</sup> and volume fraction of nanoparticles from 0 to 0.04 on heat transfer characteristics have been studied. The results verified by making overall comparison with some existing experimental results have shown that for<em> Ra</em>=10<sup>3</sup>, for which conduction heat transfer is dominant, the average Nusselt number increases as volume fraction of nanoparticles increases, but for higher <em>Ra</em> numbers in contradiction with the constant properties cases it decreases. This reduction, which is associated with increased viscosity, is more severe at <em>Ra</em> of 10<sup>4</sup> compared to higher <em>Ra</em> numbers such that the least deterioration in heat transfer occurs for <em>Ra</em>=10<sup>7</sup>. This is due to the fact that as <em>Ra</em> increases, the Brownian motion enhances; thus conductivity improves and becomes more important than viscosity increase. An scale analysis, performed to clarify the contradictory reports in the literature on the natural convection heat transfer enhancement or deterioration of nanofluids, showed that different kinds of evaluating the base fluid Rayleigh number has led to such a difference.https://tpnms.usb.ac.ir/article_1413_2f9e96db378ed95f1adffc9edf7966b5.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Numerical Investigation of Double- Diffusive Mixed Convective Flow in a Lid-Driven Enclosure Filled with Al2O3-Water Nanofluid6577141410.7508/tpnms.2014.01.006ENA.FattahiMechanical Engineering Department, Iran University of Science and Technology, Narmak, Tehran, I.R. IranM.AlizadehMechanical Engineering Department, Iran University of Science and Technology, Narmak, Tehran, I.R. IranJournal Article20131003Double-diffusive mixed convection in a lid-driven square enclosure filled with Al<sub>2</sub>O<sub>3</sub>-water is numerically investigated. Two-dimensional nonlinear governing equations are discretized using the control volume method and hybrid scheme. The equations are solved using SIMPLER algorithm. The results are displayed in the form of streamlines, isotherms, and iso-concentrations when the Richardson number varies between 0.01 and 100, the Lewis number changes from 0.1 to 10, the buoyancy ratio ranges between 0 and 5,the volume fractions of nanoparticles differs from 0 to 0.06 and the source location moves from the top toward bottom of the left wall. Moreover, the variation of average Nusselt and Sherwood number are illustrated. It is observed that heat transfer enhances as nanoparticles volume fraction increases, while mass transfer reduces. Additionally, by increasing the buoyancy ratio, both heat and mass transfer are increased.https://tpnms.usb.ac.ir/article_1414_10b87f03a487412d55c6692849b3af78.pdfUniversity of Sistan and Baluchestan,
Iranian Society Of Mechanical EngineersTransp Phenom Nano Micro Scales2322-36342120140101Numerical Study of Operating Pressure Effect on Carbon Nanotube Growth Rate and Length Uniformity7885141510.7508/tpnms.2014.01.007ENB.ZahedMechanical Engineering Department, University of Sistan and Baluchestan, Zahedan, I.R. IranT.Fanaei S.Electrical and Electronic Department, University of Sistan and Baluchestan, Zahedan, I.R.IranA.BehzadmehrMechanical Engineering Department, University of Sistan and Baluchestan, Zahedan, I.R. IranH.AteshiChemical Engineering Department, University of Sistan and Baluchestan, Zahedan, I.R. IranJournal Article20130514Chemical Vapor Deposition (CVD) is one of the most popular methods for producing Carbon Nanotubes (CNTs). The growth rate of CNTs based on CVD technique is investigated by using a numerical model based on finite volume method. Inlet gas mixture, including xylene as carbon source and mixture of argon and hydrogen as carrier gas enters into a horizontal CVD reactor at atmospheric pressure. In this article the operating pressure variations are studied as the effective parameter on CNT growth rate and length uniformity.https://tpnms.usb.ac.ir/article_1415_954c036b2160f9aca144aee9e4b38507.pdf