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Heat Transfer Research

年間 18 号発行

ISSN 印刷: 1064-2285

ISSN オンライン: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

Indexed in

MIXED-CONVECTION FLOW IN A LID-DRIVEN SQUARE CAVITY FILLED WITH A NANOFLUID WITH VARIABLE PROPERTIES: EFFECT OF THE NANOPARTICLE DIAMETER AND OF THE POSITION OF A HOT OBSTACLE

巻 45, 発行 6, 2014, pp. 563-578
DOI: 10.1615/HeatTransRes.2014007271
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要約

In this article, a mixed-convection flow in a cavity filled with an Al2O3/water nanofluid and having an inside hot obstacle and variable properties is studied numerically using the finite volume method. The thermal conductivity and effective viscosity of the nanofluid were determined using the new variable properties models proposed by Xu and Jang, respectively. The bottom, top, and the left walls of the cavity are adiabatic, while the right wall is maintained at a cold temperature (Tc). A hot rectangular obstacle is located at the bottom of the square cavity. The upper adiabatic lid is moving in its positive direction. To numerically solve the governing equations, the finite volume method along with a displaced grid system is used, and the equations are transformed into a code using FORTRAN. In this study the influence of some important parameters such as the diameter of a nanoparticle, Richardson number, and the position of the hot obstacle on the hydrodynamic and thermal characteristics are discussed. The results indicate that a decrease in the nanoparticle diameter at a constant Ri enhances heat transfer. On the other hand, the heat transfer rate increased as Ri was decreased for a particular diameter and position of the hot obstacle.

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  1. Safaei M. R., Mahian O., Garoosi F., Hooman K., Karimipour A., Kazi S. N., Gharehkhani S., Investigation of Micro- and Nanosized Particle Erosion in a 90° Pipe Bend Using a Two-Phase Discrete Phase Model, The Scientific World Journal, 2014, 2014. Crossref

  2. Karimipour Arash, Hossein Nezhad Alireza, D’Orazio Annunziata, Hemmat Esfe Mohammad, Safaei Mohammad Reza, Shirani Ebrahim, Simulation of copper–water nanofluid in a microchannel in slip flow regime using the lattice Boltzmann method, European Journal of Mechanics - B/Fluids, 49, 2015. Crossref

  3. Karimipour Arash, New correlation for Nusselt number of nanofluid with Ag / Al 2 O 3 / Cu nanoparticles in a microchannel considering slip velocity and temperature jump by using lattice Boltzmann method, International Journal of Thermal Sciences, 91, 2015. Crossref

  4. Esfandiary Meissam, Mehmandoust Babak, Karimipour Arash, Pakravan Hossein Ali, Natural convection of Al2O3–water nanofluid in an inclined enclosure with the effects of slip velocity mechanisms: Brownian motion and thermophoresis phenomenon, International Journal of Thermal Sciences, 105, 2016. Crossref

  5. Karimipour Arash, Taghipour Abdolmajid, Malvandi Amir, Developing the laminar MHD forced convection flow of water/FMWNT carbon nanotubes in a microchannel imposed the uniform heat flux, Journal of Magnetism and Magnetic Materials, 419, 2016. Crossref

  6. Rahmati Ahmad Reza, Rayat Roknabadi Ali, Abbaszadeh Mahmoud, Numerical simulation of mixed convection heat transfer of nanofluid in a double lid-driven cavity using lattice Boltzmann method, Alexandria Engineering Journal, 55, 4, 2016. Crossref

  7. Karimipour Arash, D’Orazio Annunziata, Shadloo Mostafa Safdari, The effects of different nano particles of Al 2 O 3 and Ag on the MHD nano fluid flow and heat transfer in a microchannel including slip velocity and temperature jump, Physica E: Low-dimensional Systems and Nanostructures, 86, 2017. Crossref

  8. Esfahani Masihollah Ahmadi, Toghraie Davood, Experimental investigation for developing a new model for the thermal conductivity of Silica/Water-Ethylene glycol (40%–60%) nanofluid at different temperatures and solid volume fractions, Journal of Molecular Liquids, 232, 2017. Crossref

  9. Zareie Akbar, Akbari Mohammad, Hybrid nanoparticles effects on rheological behavior of water-EG coolant under different temperatures: An experimental study, Journal of Molecular Liquids, 230, 2017. Crossref

  10. Arabpour Abedin, Karimipour Arash, Toghraie Davood, The study of heat transfer and laminar flow of kerosene/multi-walled carbon nanotubes (MWCNTs) nanofluid in the microchannel heat sink with slip boundary condition, Journal of Thermal Analysis and Calorimetry, 131, 2, 2018. Crossref

  11. Zadkhast Masoud, Toghraie Davood, Karimipour Arash, Developing a new correlation to estimate the thermal conductivity of MWCNT-CuO/water hybrid nanofluid via an experimental investigation, Journal of Thermal Analysis and Calorimetry, 129, 2, 2017. Crossref

  12. Hemmat Esfe Mohammad, Saedodin Seyfolah, Hasani Malekshah Emad, Babaie Alireza, Rostamian Hadi, Mixed convection inside lid-driven cavities filled with nanofluids, Journal of Thermal Analysis and Calorimetry, 135, 1, 2019. Crossref

  13. Nafchi Peyman Mirzakhani, Karimipour Arash, Afrand Masoud, The evaluation on a new non-Newtonian hybrid mixture composed of TiO2/ZnO/EG to present a statistical approach of power law for its rheological and thermal properties, Physica A: Statistical Mechanics and its Applications, 516, 2019. Crossref

  14. Ahmadi Balootaki Azam, Karimipour Arash, Toghraie Davood, Nano scale lattice Boltzmann method to simulate the mixed convection heat transfer of air in a lid-driven cavity with an endothermic obstacle inside, Physica A: Statistical Mechanics and its Applications, 508, 2018. Crossref

  15. Goodarzi Marjan, D’Orazio Annunziata, Keshavarzi Ahmad, Mousavi Sayedali, Karimipour Arash, Develop the nano scale method of lattice Boltzmann to predict the fluid flow and heat transfer of air in the inclined lid driven cavity with a large heat source inside, Two case studies: Pure natural convection & mixed convection, Physica A: Statistical Mechanics and its Applications, 509, 2018. Crossref

  16. Nazari Saeed, Akbari Ehsan, Numerical investigation of non-Newtonian nanofluid mixed convection in a two-opposite direction lid-driven cavity with variable properties, Heat Transfer-Asian Research, 48, 2, 2019. Crossref

  17. Safaei Mohammad Reza, Karimipour Arash, Abdollahi Ali, Nguyen Truong Khang, The investigation of thermal radiation and free convection heat transfer mechanisms of nanofluid inside a shallow cavity by lattice Boltzmann method, Physica A: Statistical Mechanics and its Applications, 509, 2018. Crossref

  18. Jalali Esmaeil, Karimipour Arash, Simulation the effects of cross-flow injection on the slip velocity and temperature domain of a nanofluid flow inside a microchannel, International Journal of Numerical Methods for Heat & Fluid Flow, 29, 5, 2019. Crossref

  19. Karimipour Arash, D’Orazio Annunziata, Goodarzi Marjan, Develop the lattice Boltzmann method to simulate the slip velocity and temperature domain of buoyancy forces of FMWCNT nanoparticles in water through a micro flow imposed to the specified heat flux, Physica A: Statistical Mechanics and its Applications, 509, 2018. Crossref

  20. Goodarzi Marjan, Javid Saeed, Sajadifar Ali, Nojoomizadeh Mehdi, Motaharipour Seyed Hossein, Bach Quang-Vu, Karimipour Arash, Slip velocity and temperature jump of a non-Newtonian nanofluid, aqueous solution of carboxy-methyl cellulose/aluminum oxide nanoparticles, through a microtube, International Journal of Numerical Methods for Heat & Fluid Flow, 29, 5, 2019. Crossref

  21. Esfe Mohammad Hemmat, Dalir Ramin, Bakhtiari Reza, Afrand Masoud, Simultaneous effects of multi-walled carbon nanotubes and copper oxide nanoparticles on the rheological behavior of cooling oil: Application for refrigeration systems, International Journal of Refrigeration, 104, 2019. Crossref

  22. Mahyari Amirhossein Ansari, Karimipour Arash, Afrand Masoud, Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties, Physica A: Statistical Mechanics and its Applications, 521, 2019. Crossref

  23. Bagherzadeh Seyed Amin, Sulgani Mohsen Tahmasebi, Nikkhah Vahid, Bahrami Mehrdad, Karimipour Arash, Jiang Yu, Minimize pressure drop and maximize heat transfer coefficient by the new proposed multi-objective optimization/statistical model composed of “ANN + Genetic Algorithm” based on empirical data of CuO/paraffin nanofluid in a pipe, Physica A: Statistical Mechanics and its Applications, 527, 2019. Crossref

  24. He Wei, Bagherzadeh Seyed Amin, Shahrajabian Hamzeh, Karimipour Arash, Jadidi Hamid, Bach Quang-Vu, Controlled elitist multi-objective genetic algorithm joined with neural network to study the effects of nano-clay percentage on cell size and polymer foams density of PVC/clay nanocomposites, Journal of Thermal Analysis and Calorimetry, 139, 4, 2020. Crossref

  25. Hemmat Esfe Mohammad, Sarmasti Emami Mohammad Reza, Kiannejad Amiri Mahmoud, Experimental investigation of effective parameters on MWCNT–TiO2/SAE50 hybrid nanofluid viscosity, Journal of Thermal Analysis and Calorimetry, 137, 3, 2019. Crossref

  26. Tian Zhe, Arasteh Hossein, Parsian Amir, Karimipour Arash, Safaei Mohammad Reza, Nguyen Truong Khang, Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysis, Physica A: Statistical Mechanics and its Applications, 535, 2019. Crossref

  27. Zarei Amir, Karimipour Arash, Meghdadi Isfahani Amir Homayoon, Tian Zhe, Improve the performance of lattice Boltzmann method for a porous nanoscale transient flow by provide a new modified relaxation time equation, Physica A: Statistical Mechanics and its Applications, 535, 2019. Crossref

  28. Chen Zhixiong, Shahrajabian Hamzeh, Bagherzadeh Seyed Amin, Maleki Alireza, Bach Quang-Vu, The impact energy analysis by genetic algorithm and response surface methods to study the plastic composite, compatibilizer, and recycled poly effects, Journal of Thermal Analysis and Calorimetry, 141, 1, 2020. Crossref

  29. Hajatzadeh Pordanjani Ahmad, Aghakhani Saeed, Alnaqi Abdulwahab A., Afrand Masoud, Effect of alumina nano-powder on the convection and the entropy generation of water inside an inclined square cavity subjected to a magnetic field: Uniform and non-uniform temperature boundary conditions, International Journal of Mechanical Sciences, 152, 2019. Crossref

  30. Karimipour Arash, Bagherzadeh Seyed Amin, Taghipour Abdolmajid, Abdollahi Ali, Safaei Mohammad Reza, A novel nonlinear regression model of SVR as a substitute for ANN to predict conductivity of MWCNT-CuO/water hybrid nanofluid based on empirical data, Physica A: Statistical Mechanics and its Applications, 521, 2019. Crossref

  31. Bagherzadeh Seyed Amin, D’Orazio Annunziata, Karimipour Arash, Goodarzi Marjan, Bach Quang-Vu, A novel sensitivity analysis model of EANN for F-MWCNTs–Fe3O4/EG nanofluid thermal conductivity: Outputs predicted analytically instead of numerically to more accuracy and less costs, Physica A: Statistical Mechanics and its Applications, 521, 2019. Crossref

  32. Jiang Yu, Sulgani Mohsen Tahmasebi, Ranjbarzadeh Ramin, Karimipour Arash, Nguyen Truong Khang, Hybrid GMDH-type neural network to predict fluid surface tension, shear stress, dynamic viscosity & sensitivity analysis based on empirical data of iron(II) oxide nanoparticles in light crude oil mixture, Physica A: Statistical Mechanics and its Applications, 526, 2019. Crossref

  33. Hemmat Esfe Mohammad, Kamyab Mohammad Hassan, Viscosity analysis of enriched SAE50 by nanoparticles as lubricant of heavy-duty engines, Journal of Thermal Analysis and Calorimetry, 140, 1, 2020. Crossref

  34. Hemmat Esfe Mohammad, Goodarzi Mohsen, Reiszadeh Mahdi, Afrand Masoud, Evaluation of MWCNTs-ZnO/5W50 nanolubricant by design of an artificial neural network for predicting viscosity and its optimization, Journal of Molecular Liquids, 277, 2019. Crossref

  35. Ahmadi Behrooz, Golneshan Ali Akbar, Arasteh Hossein, Karimipour Arash, Bach Quang-Vu, Energy and exergy analysis and optimization of a gas turbine cycle coupled by a bottoming organic Rankine cycle, Journal of Thermal Analysis and Calorimetry, 141, 1, 2020. Crossref

  36. Wu Huawei, Beni Mahdi Hashemi, Moradi Iman, Karimipour Arash, Kalbasi Rasoul, Rostami Sara, Heat transfer analysis of energy and exergy improvement in water-tube boiler in steam generation process, Journal of Thermal Analysis and Calorimetry, 139, 4, 2020. Crossref

  37. Hemmat Esfe Mohammad, Esfandeh Saeed, A new generation of hybrid-nanofluid: thermal properties enriched lubricant fluids with controlled viscosity amount, SN Applied Sciences, 2, 7, 2020. Crossref

  38. Arani Ali Akbar Abbasian, Alirezaie Ali, Kamyab Mohammad Hassan, Motallebi Sayyid Majid, Statistical analysis of enriched water heat transfer with various sizes of MgO nanoparticles using artificial neural networks modeling, Physica A: Statistical Mechanics and its Applications, 554, 2020. Crossref

  39. Yang Jie, Deng Xuan, Liu Qingquan, Ding Renhui, Temperature error‐correction method for surface air temperature data, Meteorological Applications, 27, 6, 2020. Crossref

  40. Hemmat Esfe Mohammad, Bahiraei Mehdi, Torabi Amirhesam, Valadkhani Majid, A critical review on pulsating flow in conventional fluids and nanofluids: Thermo-hydraulic characteristics, International Communications in Heat and Mass Transfer, 120, 2021. Crossref

  41. Ahmed Saba Y., Jabbar Mohammed Y., Hamzah Hameed K., Ali Farooq H., Hussein Ahmed K., Mixed convection of nanofluid in a square enclosure with a hot bottom wall and a conductive half‐immersed rotating circular cylinder, Heat Transfer, 49, 8, 2020. Crossref

  42. Hemmat Esfe Mohammad, Viscosity Analysis of MWCNT(25%)–ZnO(75%)/10W40 Hybrid Nanofluid; Toward a New Look at Finding Efficient Nanofluid for Heat Transfer Goals, Arabian Journal for Science and Engineering, 46, 6, 2021. Crossref

  43. Çolak Andaç Batur, An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks, International Journal of Energy Research, 45, 1, 2021. Crossref

  44. Shinde Suhas M., Kawadekar Dayanand M., Patil Pradeep A., Bhojwani Virendra K., Analysis of micro and nano particle erosion by the numerical method at different pipe bends and radius of curvature, International Journal of Ambient Energy, 42, 16, 2021. Crossref

  45. Hemmat Esfe Mohammad, Motallebi Sayyid Majid, Optimization, modeling, and prediction of relative viscosity and relative thermal conductivity of AlN nano-powders suspended in EG, The European Physical Journal Plus, 136, 1, 2021. Crossref

  46. Hemmat Esfe Mohammad, Esfandeh Saeed, Comparative thermal analysis of an EG-based nanofluid containing DWCNTs, The European Physical Journal Plus, 136, 4, 2021. Crossref

  47. Hemmat Esfe Mohammad, Kamyab Mohammad Hassan, Mathematical monitoring of agglomeration effects on thermophysical properties of water-based nanofluids using MLP and RSM, Journal of Thermal Analysis and Calorimetry, 146, 2, 2021. Crossref

  48. Hemmat Esfe Mohammad, Thermophysical optimization of ND/PG-water nanofluids by NSGA-II coupled with RSM and ANN, The European Physical Journal Plus, 136, 4, 2021. Crossref

  49. Al-Kouz Wael, Medebber Mohamed A., Elkotb Mohamed Abdelghany, Abderrahmane Aissa, Aimad Koulali, Al-Farhany Khaled, Jamshed Wasim, Moria Hazim, Aldawi Fayez, Saleel C. Ahamed, Nisar Kottakkaran Sooppy, Galerkin finite element analysis of Darcy–Brinkman–Forchheimer natural convective flow in conical annular enclosure with discrete heat sources, Energy Reports, 7, 2021. Crossref

  50. Hemmat Esfe Mohammad, Motallebi Sayyid Majid, Toghraie Davood, Investigation of thermophysical properties of MWCNT-MgO (1:1)/10W40 hybrid nanofluid by focusing on the rheological behavior: Sensitivity analysis and price-performance investigation, Powder Technology, 405, 2022. Crossref

  51. Hemmat Esfe Mohammad, Saedodin Seyfolah, Investigating the Behavior of SiO2 (90%)-MWCNT (10%)/SAE50 Hybrid Nanofluid and Modeling its Viscosity, Arabian Journal for Science and Engineering, 47, 6, 2022. Crossref

  52. Karimipour Arash, Afrand Masoud, Magnetic field effects on the slip velocity and temperature jump of nanofluid forced convection in a microchannel, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 230, 11, 2016. Crossref

  53. Hemmat Esfe Mohammad, Esfandeh Saeed, Mathematical based modeling of thermophysical properties of an enriched oil based hybrid nanofluid, Journal of Thermal Analysis and Calorimetry, 147, 3, 2022. Crossref

  54. Hemmat Esfe Mohammad, Motallebi Sayyid Majid, Toghraie Davood, Investigation the effects of different nanoparticles on density and specific heat: Prediction using MLP artificial neural network and response surface methodology, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 645, 2022. Crossref

  55. Ajour Mohammed N., Abduaal Mohammed J., Hariri Fahd A., Abu-Hamdeh Nidal H., Mohammad Sajadi S., Approving a new PID controller and using PCM to intensify electricity generation in a green building, Sustainable Energy Technologies and Assessments, 53, 2022. Crossref

  56. Esfe Mohammad Hemmat, Motallebi Sayyid Majid, Toghraie Davood, Modeling and optimization of dynamic viscosity of oil-based nanofluids containing alumina particles and carbon nanotubes by response surface methodology (RSM), Korean Journal of Chemical Engineering, 39, 10, 2022. Crossref

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