Performance evaluation on an air-cooled heat exchanger for alumina nanofluid under laminar flow
© Teng et al; licensee Springer. 2011
Received: 27 April 2011
Accepted: 9 August 2011
Published: 9 August 2011
This study analyzes the characteristics of alumina (Al2O3)/water nanofluid to determine the feasibility of its application in an air-cooled heat exchanger for heat dissipation for PEMFC or electronic chip cooling. The experimental sample was Al2O3/water nanofluid produced by the direct synthesis method at three different concentrations (0.5, 1.0, and 1.5 wt.%). The experiments in this study measured the thermal conductivity and viscosity of nanofluid with weight fractions and sample temperatures (20-60°C), and then used the nanofluid in an actual air-cooled heat exchanger to assess its heat exchange capacity and pressure drop under laminar flow. Experimental results show that the nanofluid has a higher heat exchange capacity than water, and a higher concentration of nanoparticles provides an even better ratio of the heat exchange. The maximum enhanced ratio of heat exchange and pressure drop for all the experimental parameters in this study was about 39% and 5.6%, respectively. In addition to nanoparticle concentration, the temperature and mass flow rates of the working fluid can affect the enhanced ratio of heat exchange and pressure drop of nanofluid. The cross-section aspect ratio of tube in the heat exchanger is another important factor to be taken into consideration.
Keywordsalumina (Al2O3) heat exchange capacity laminar flow nanofluid pressure drop
As technology and energy products require higher standards of function and performance, the problem of heat dissipation is becoming a significant issue in many appliances. Using a working fluid with high heat transfer performance is a topic worthy of research, as it may solve this problem without costly changes in the structure of the equipment. Many researchers have recently investigated the issue of nanofluid thermal properties. Many studies show that nanofluids can enhance heat conduction performance due to their higher thermal conductivity than base fluids [1–6]. However, heat convection characteristics must also be considered in practical heat exchange applications. Many researchers have focused on heat transfer properties of convection for a single pipe with the different structures, and investigated the parameters of nanoparticles added, pipe cross-section structure, materials and concentration of nanofluid, flow conditions, and other factors [7–14].
Palm et al.  reported that the water/Al2O3 nanofluid with concentration of 4 vol.% enhanced the average wall heat transfer coefficient by 25% compared to base liquid in 2006. Furthermore, the average heat transfer coefficient increased with an increase in wall heat flux due to a decrease in the wall shear stress.
Nguyen et al.  used Al2O3 nanofluid with different nanoparticle sizes (36 and 47 nm) in an electronic liquid cooling system. The heat convective coefficient was enhanced by a maximum of 40% at an added particle concentration of 6.8 vol.%. The heat convective coefficient of the added nanoparticle size 36 nm was higher than that of 47 nm at the same concentration. These results show that nanofluid improve the heat transfer performance for electronic liquid cooling system, and smaller nanoparticles added to the based liquid more effectively enhanced the heat convective coefficient. Chein and Chuang  applied CuO/water nanofluid to a microchannel heat sink (MCHS) and found that a nanoparticle concentration of 0.2 to 0.4 vol.% enhanced the cooling performance of CuO/water nanofluid. Their experimental results show that the CuO/water nanofluid had low thermal resistance at lower flow rate (10 and 15 ml/min), and higher resistance at higher flow rate (20 ml/min). These results indicate that the flow rate is a very important factor to affect the heat convective performance of a nanofluid.
Kulkarni et al.  studied the specific heat of Al2O3/ethylene glycol and water (EG/W) nanofluid and its effect on the cogeneration efficiency of a 45-kW diesel electric generator (DEG) in 2008. Their experimental results show that applying nanofluid reduced cogeneration efficiency due to a decrease in the specific heat of the nanofluid. Further, the efficiency of waste heat recovery in the heat exchanger increased due to the higher convective heat transfer coefficient of the nanofluid.
Pantzali et al.  adopted a 4 vol.% CuO nanofluid to investigate the effects of using nanofluid in a miniature plate heat exchanger with a modulated surface through both experimental and numerical calculations. Their results demonstrate that the CuO nanofluid enhanced the heat transfer rate and total heat transfer coefficient, and suggested that the required flow rate of nanofluid was lower than that of water to keep lower pressure drop. Jung et al.  studied the convective heat transfer coefficient and friction factor of Al2O3-water/ethylene glycol (50:50) nanofluid with different concentrations (0.6, 1.2, 1.8 vol.%) in rectangular microchannels. They also measured the Al2O3 nanoparticles size of 170 nm in nanofluid using light scattering equipment. The convective heat transfer coefficient of the Al2O3 nanofluid at 1.8 vol.% increased 32% compared to the base liquid without a major friction loss in a laminar flow regime (5 < Re < 300). The Nusselt number increased as the Reynolds number increased in a laminar flow regime. Nnanna et al.  adopted Al2O3/water nanofluid for heat dissipation in the heat exchanger of a thermoelectric module. The nanoparticle size and concentration of added nanoparticles in that study were 27 nm and 2 vol.%, respectively. The average thermal contact resistance was 0.18°C/W and 0.12°C/W for the deionized water and nanofluid, respectively. Duangthongsuk and Wongwises  reported an experimental study on forced convective heat transfer under varied heat flux boundary conditions and pressure drop characteristics of a nanofluid with 0.2 vol.% TiO2 nanoparticles (d p = 21 nm) flowing in a horizontal double-tube counter flow heat exchanger under turbulent flow regimes. Their results show that the convective heat transfer coefficient of nanofluid is approximately 6% to 11% higher than that of the base liquid. The heat transfer coefficient of the nanofluid increased as the mass flow rate of the water and nanofluid increased.
Abu-Nada et al.  used an efficient finite-volume method to study the heat transfer characteristics of natural convection for CuO/EG/water nanofluid in a differentially heated enclosure. They presented various results for the streamline and isotherm contours and the local and average Nusselt numbers for a wide range of Rayleigh numbers (Ra = 103 to approximately 105), nanoparticle concentrations (0 < ϕ < 6 vol.%), and enclosure aspect ratios (1/2 ≦ A ≦ 2). Their results show that the enclosure aspect ratio had significant effects on the behavior of the average Nusselt number, which decreased as the enclosure aspect ratio increased. Ho et al.  investigated the forced convective cooling performance of a copper MCHS with Al2O3/water nanofluid as the coolant under laminar flow conditions (Re = 226 to approximately 1,676). Their results show that the dynamic viscosity and friction factor increased due to dispersing the alumina nanoparticles in water. The MCHS with Al2O3/water nanofluid also had higher average heat transfer coefficient, lower thermal resistance, and lower wall temperature at high pumping power. Feng and Kleinstreuer  presented numerical simulations for heat transfer between parallel disks with an Al2O3/water nanofluid flow. Their results indicate that the nanofluid had smoother mixture flow fields and temperature distributions. The Nusselt number increased with higher nanoparticle volume fraction, smaller nanoparticle size, reduced disk spacing, and larger inlet Reynolds number under a realistic thermal load. They also proposed the correlation of critical radial distance and minimization of total entropy generation analysis. Jwo et al.  adopted Al2O3/water nanofluid for heat dissipation experiments in a multi-channel heat exchanger (MCHE) to simulate its application to electronic chip cooling system. Results show that the overall heat transfer coefficient ratio was higher at higher nanoparticle concentrations. In addition, when the input temperature of nanofluid flowing into MCHE was lower, the mass flow rate had a greater effect on the overall heat transfer coefficient ratio than concentration. Farajollahi et al.  performed an experimental analysis to study heat transfer of nanofluid in a shell and tube heat exchanger. They used nanofluid Al2O3/water and TiO2/water nanofluid under turbulent flow conditions to investigate the effects of the Peclet number, volume concentration of suspended particles, and particle type on heat transfer characteristics. Their results indicate that the addition of nanoparticles to the base fluid enhances heat transfer performance. Notice that heat transfer characteristics of nanofluid increased significantly with the Peclet number. TiO2/water and Al2O3/water nanofluid exhibited better heat transfer behavior at lower and higher volume concentrations, respectively. The experimental results above are also in agreement with the predicted values of available correlation at the lower volume fractions of the nanoparticle.
Firouzfar et al.  recently used a methanol/Ag nanofluid to fill a thermosyphon heat exchanger and compared its effectiveness and energy saving with that of pure methanol. Their experimental results show that methanol/Ag nanofluid achieved an energy savings of approximately 8.8-31.5% for cooling and 18-100% for reheating the supply air stream in an air conditioning system, respectively. Zamzamian et al.  investigated the effects of forced convective heat transfer coefficient with Al2O3/EG and CuO/EG nanofluid in double pipe and plate heat exchangers. Their results indicate that increasing the nanoparticle concentration and temperature could enhance the convective heat transfer coefficient of nanofluid, leading to a 2% to 50% enhancement in convective heat transfer coefficient of the nanofluid.
The literature review above clearly shows that using nanofluid can effectively improve the heat convective performance, but will also increase the pipeline pressure drop and pumping energy. Using nanofluid with a high heat convective performance for heat exchange can help reduce the volume of the heat exchanger. In addition, using nanofluid with higher heat transfer performance instead of the traditional working fluid for cooling can reduce the demand and cost of cooling system modifications. Most of the nanofluids used in previous studies were used in single pipe heat transfer, microchannel heat sinks, plate heat exchangers, double-tube heat exchangers, or heated enclosures, and seldom used in air-cooled heat exchangers. Since the ultimate goal of radiators is to discharge heat into the atmosphere, and the air-cooled heat exchanger is widely used in automotive, air conditioning, proton exchange membrane fuel cell (PEMFC) and electronic chip cooling, and is therefore a worthy research direction. This study uses a two-step synthesis method to make Al2O3/water nanofluid, which can be used as coolant in an air-cooled heat exchanger to heat dissipation. Identifying the differences in nanofluid weight fractions, mass flow rates, and temperature effects on heat exchange performance and pressure drop of the air-cooled heat exchanger makes it possible to evaluate the feasibility of applying Al2O3/water nanofluid to PEMFC heat dissipation or electronic chip cooling in the future.
Calculation for heat exchange and flow conditions
where A is the area of cross-section, and WP is the wetter perimeter (rectangle side lengths equal to a and b, then WP = 2a + 2b).
Equation 6 can be used to convert the weight fraction to volume fraction to calculate the density and specific heat of nanofluid by Equations 4 and 5. The density and specific heat of nanofluid and experimental data can then be used to calculate the Reynolds number and heat exchange capacity for the nanofluid.
Preparation of sample and experimental design
Preparation of alumina nanofluid
The base liquid was prepared by adding 0.2 wt.% of cationic dispersant (water-soluble chitosan) to distilled water as a dispersant to obtain good suspension for nanofluid. The Al2O3/water nanofluid produced by two-step synthesis method was then used as the experimental sample, and homogenization, electromagnetic agitation, and ultrasonic vibration were alternately used to disperse the Al2O3 nanoparticles into three weight fractions (0.5, 1.0, 1.5 wt.%) in the base liquid. The reason for using a lower concentration of nanofluid was to avoid blocking pipes and an overly high pressure drop caused by the sedimentation of nanoparticles and increased viscosity from a high concentration of nanofluid. The Al2O3/water nanofluid used in this study contains commercial nanoparticles (Al-13P, Yong-Zhen Technomaterial, Taipei, Taiwan). The real density of Al2O3 nanoparticles is approximately 3,880 kg/m3, which can be converted to be weight fraction and volume fraction by Equation 6.
Experimental procedure and design
This study investigates whether the Al2O3/water nanofluid can be used for PEMFC heat dissipation or electronic chip cooling in the future. Thus, the temperature of the test samples was set at 30°C to approximately 60°C to simulate the most common cooling temperature range in electronic cooling and PEMFC heat dissipation.
Firstly, in the thermal conductivity and viscosity experiments, a thermostatic bath (D-620, DengYng, Taipei, Taiwan) was stabilized the temperature of the sample until it reached the expected temperature (20°C to approximately 60 ± 0.5°C). A thermal properties analyzer (KD-2 Pro, Decagon Devices, Inc., Pullman, WA, USA) and rheometer (DVIII+, Brookfield, Middleboro, MA, USA) were then used to measure the thermal conductivity and viscosity in the nanofluid at various weight fractions and sample temperatures. The suspended particle size of Al2O3/water nanofluid was then measured using a dynamic light scattering (DLS) size/zeta potential analyzer (SZ-100, HORIBA, Kyoto, Japan) to determine clustering and suspension performance.
The heat exchange capacity of the liquid side was calculated based on measurements of the temperature difference and flow rate between the inlet and outlet of the liquid of heat exchanger. The air-cooled heat exchanger was made of aluminum, and its structure was of finned-tube type assembled with 11 rectangular tubes at 118 × 17.3 × 1.9 mm (L × W × H) each. The effective internal cross-sectional area was 2.17 × 10-5 m2. The pipe was covered by thermal insulation material at the thickness of 1.5 cm to reduce the influence of heat dissipation from other components. The mass flow rate of liquid side was controlled by the input voltage (GPC-6030D, GWINSTEK, Taipei, Taiwan) of circulating pump (MCP-655, Swifttech, USA). This experiment used a temperature controller to stabilize the temperature of the sample until it reached the expected temperature (30°C, 40°C, 50°C, and 60 ± 0.5°C). An environmental control system maintained the temperature and relative humidity at 25 ± 1°C and 60 ± 5% to ensure the constant environmental conditions at the air side of heat exchanger, and kept the air side conditions of each experiment the same under fixed air flow rate. A multifunction meter (Testo-400, Testo, Lenzkirch, Germany) monitored the environmental conditions to ensure the stability of the experiment. A data logger (TRM-20, TOHO, Japan), a pressure transducer (JPT-131LJ, Jetec, Taichung, Taiwan) and a flow meter (NF05, Aichi Tokei, Nagoya, Japan) were also employed to measure the temperature, pressure, and flow rate to coordinate with the relevant equations to calculate the heat exchange capacity.
Data and uncertainty analysis
The precision of the thermal property analyzer is ± 5%. The accuracy of the precise electric balance is ± 0.01 g. The precision of the RTD is ± 0.5°C Hence, the uncertainty of the thermal conductivity experiment was calculated to be less than ± 5.6%.
The precision of the rheometer is ± 1%. The accuracy of the precise electric balance is ± 0.01 g. The precision of the RTD is ± 0.5°C Hence, the uncertainty of the viscosity experiment was calculated to be less than ± 2.7%.
The accuracy of the flow meter is ± 2.0%. The precision of the rheometer is ± 1%. The accuracy of the precise electric balance is ± 0.01 g. The accuracy of the thermocouple is ± 0.5°C. Therefore, the uncertainty of the Re experiment was calculated to be less than ± 3.4%.
The accuracy of the flow meter is ± 2.0%. The accuracy of the pressure transducer is ± 0.5%. The accuracy of the precise electric balance is ± 0.01 g. The accuracy of the thermocouple is ± 0.5°C. Therefore, the uncertainty of the pressure drop experiment was calculated to be less than ± 3.3%.
The accuracy of the flow meter is ± 2.0%. The accuracy of the precise electric balance is ± 0.01 g. The accuracy of the thermocouple is ± 0.5°C. Therefore, the uncertainty of the heat exchange capacity experiment was calculated to be less than ± 3.3%.
Results and discussion
Figure 7 also reveals an underestimation between the Pak and Cho's model  and the current experimental results. The nanoparticle volume fraction was transformed into the nanoparticle weight fraction using the true density of nanoparticles to unify the concentration of units (Equation 6). Pak and Cho's model  was originally obtained with a temperature of 300 K, a particle size of 13 nm, and a concentration range of 1.34-4.33 vol.%. Because this model does not incorporate changes of temperature and particle size, it originally obtained at a higher concentration, and its deviation is a little higher. However, considering the uncertainty of the experiment in this study, this deviation is within an acceptable range under 20°C to 30°C.
Figures 10, 11, and 12 reveal that ERhe decreases with increasing temperature of nanofluid at different mass flow rates, but the concentration of nanofluid increases with increased ERhe. These results show that the enhanced ratio of heat exchange decreases at higher temperature. This seems to contradict the statement above that a high temperature increases the probability of collision between nanoparticles and liquid molecules, which can increase heat exchange. This contradictory phenomenon is mainly because the heat exchanger used in this study is a rectangular tube with a great cross-section aspect ratio (W/H = 17.3/1.9). The flow rate distribution of the fluid with higher viscosity is relatively uneven in such cross-section. Thus, the effective cross-sectional area of the pipe for heat exchange was decreased to decrease the enhanced ratio of heat exchange. Figure 8 shows that the decrease rate of viscosity of the nanofluid is lower than water at higher temperatures. This means that the viscosity of water is much lower than nanofluid at high temperatures. This strengthens the phenomenon of uneven flow rate distribution in the rectangular tube with a great aspect ratio, which in turn enhances the ratio of heat exchange at higher temperatures lower than the lower temperature for nanofluid. The maximum enhanced ratio of heat exchange was obtained at 30°C and 1.5 wt.% for various mass flow rates, and are about 33-39% compared with water. In addition, under various experimental conditions, a higher concentration of nanofluid led to an enhanced ratio of heat exchange increases.
This study analyzes the characteristics of Al2O3/water nanofluid to determine the feasibility of its application in an air-cooled heat exchanger under laminar flow. Results confirm that Al2O3/water nanofluid offers a higher heat exchange capacity than water, and a higher concentration of nanoparticles provides an even greater enhancement ratio of the heat exchange. At higher temperature, however, the nanofluid does not provide greater enhanced ratio of the heat exchange due to rectangular tube with a large cross-section aspect ratio and enhanced viscosity ratio. In the whole range of experimental parameters in this study, the maximum enhanced ratio of heat exchange and pressure drop was approximately 39% and 5.6%, respectively. The air-cooled heat exchanger operating at 30-40°C had the best overall efficiency. Therefore, the temperature and mass flow rate of the working fluid can affect the enhanced ratio of heat exchange and pressure drop of nanofluid in addition to the nanoparticle concentration. The cross-section aspect ratio of the tube in the heat exchanger is also an important factor to be taken into consideration.
The authors would like to thank National Science Council of the Republic of China (Taiwan) and National Taiwan Normal University for their financial support to this research under contract no.: NSC-99-2221-E-003-008- and NTNU-99091008, respectively.
- Xuan Y, Li Q: Heat transfer enhancement of nanofluids. Int J Heat Fluid Flow 2000, 21: 58. 10.1016/S0142-727X(99)00067-3View ArticleGoogle Scholar
- Eastman JA, Choi SUS, Li S, Yu W, Thompson LJ: Anomalously increased effective thermal conductivity of ethylene glycol-based nanofluids containing copper nanoparticles. Appl Phys Lett 2001, 78: 718. 10.1063/1.1341218View ArticleGoogle Scholar
- Xie H, Wang J, Ai F: Thermal conductivity enhancement of suspensions containing nanosized alumina particles. J Appl Phys 2002, 91: 4568. 10.1063/1.1454184View ArticleGoogle Scholar
- Das SK, Putra N, Thiesen P, Roetzel W: Temperature dependence of thermal conductivity enhancement of nanofluids. J Heat Transf-Trans ASME 2003, 125: 567. 10.1115/1.1571080View ArticleGoogle Scholar
- Wen D, Ding Y: Effective thermal conductivity of aqueous suspensions of carbon nanotubes (carbon nanotube nanofluids). J Thermophys Heat Transf 2004, 18: 481. 10.2514/1.9934View ArticleGoogle Scholar
- Li CH, Peterson GP: Experimental investigation of temperature and volume fraction variations on the effective thermal conductivity of nanoparticle suspensions (nanofluids). J Appl Phys 2006, 99: 084314. 10.1063/1.2191571View ArticleGoogle Scholar
- Ma SEB, Nguyen CT, Galanis N, Roy G: Heat transfer behaviours of nanofluids in a uniformly heated tube. Superlattices Microstruct 2004, 35: 543. 10.1016/j.spmi.2003.09.012View ArticleGoogle Scholar
- Yang Y, Zhang ZG, Grulke EA, Anderson WB, Wu G: Heat transfer properties of nanoparticle-in-fluid dispersions (nanofluids) in laminar flow. Int J Heat Mass Transf 2005, 48: 1107. 10.1016/j.ijheatmasstransfer.2004.09.038View ArticleGoogle Scholar
- Lai WY, Duculescu B, Phelan PE, Prasher RS: Convective heat transfer with nanofluids in a single 1.02-mm tube. Proceedings of ASME International Mechanical Engineering Congress and Exposition (IMECE 2006) 2006.Google Scholar
- Zeinali Heris S, Nasr Esfahany M, Etemad SGh: Experimental investigation of convective heat transfer of Al 2 O 3 /water nanofluid in circular tube. Int J Heat Fluid Flow 2007, 28: 203. 10.1016/j.ijheatfluidflow.2006.05.001View ArticleGoogle Scholar
- Williams W, Buongiorno J, Hu LW: Experimental investigation of turbulent convective heat transfer and pressure loss of alumina/water and zirconia/water nanoparticle colloids (nanofluids) in horizontal tubes. J Heat Transf-Trans ASME 2008, 130: 1.Google Scholar
- Sharma KV, Syam Sundar L, Sarma PK: Estimation of heat transfer coefficient and friction factor in the transition flow with low volume concentration of Al 2 O 3 nanofluid flowing in a circular tube and with twisted tape insert. Int Commun Heat Mass Transf 2009, 36: 503. 10.1016/j.icheatmasstransfer.2009.02.011View ArticleGoogle Scholar
- Syam Sundar L, Sharma KV: Heat transfer enhancements of low volume concentration Al 2 O 3 nanofluid and with longitudinal strip inserts in a circular tube. Int J Heat Mass Transf 2010, 53: 4280. 10.1016/j.ijheatmasstransfer.2010.05.056View ArticleGoogle Scholar
- Suresh S, Chandrasekar M, Chandra Sekhar S: Experimental studies on heat transfer and friction factor characteristics of CuO/water nanofluid under turbulent flow in a helically dimpled tube. Exp Therm Fluid Sci 2011, 35: 542. 10.1016/j.expthermflusci.2010.12.008View ArticleGoogle Scholar
- Palm SJ, Roy G, Nguyen CT: Heat transfer enhancement with the use of nanofluids in radial flow cooling systems considering temperature-dependent properties. Appl Therm Eng 2006, 26: 2209. 10.1016/j.applthermaleng.2006.03.014View ArticleGoogle Scholar
- Nguyen CT, Roy G, Gauthier C, Galanis N: Heat transfer enhancement using Al 2 O 3 -water nanofluid for an electronic liquid cooling system. Appl Therm Eng 2007, 27: 1501. 10.1016/j.applthermaleng.2006.09.028View ArticleGoogle Scholar
- Chein RY, Chuang J: Experimental microchannel heat sink performance studies using nanofluids. Int J Therm Sci 2007, 46: 57. 10.1016/j.ijthermalsci.2006.03.009View ArticleGoogle Scholar
- Kulkarni DP, Vajjha RS, Das DK, Oliva D: Application of aluminum oxide nanofluids in diesel electric generator as jacket water coolant. Appl Therm Eng 2008, 28: 1774. 10.1016/j.applthermaleng.2007.11.017View ArticleGoogle Scholar
- Pantzali MN, Kanaris AG, Antoniadis KD, Mouza AA, Paras SV: Effect of nanofluids on the performance of a miniature plate heat exchanger with modulated surface. Int J Heat Fluid Flow 2009, 30: 691. 10.1016/j.ijheatfluidflow.2009.02.005View ArticleGoogle Scholar
- Jung JY, Oh HS, Kwak HY: Forced convective heat transfer of nanofluids in microchannels. Int J Heat Mass Transf 2009, 52: 466. 10.1016/j.ijheatmasstransfer.2008.03.033View ArticleGoogle Scholar
- Nnanna AGA, Rutherford W, Elomar W, Sankowski B: Assessment of thermoelectric module with nanofluid heat exchanger. Appl Therm Eng 2009, 29: 491. 10.1016/j.applthermaleng.2008.03.007View ArticleGoogle Scholar
- Duangthongsuk W, Wongwises S: Heat transfer enhancement and pressure drop characteristics of TiO 2 -water nanofluid in a double-tube counter flow heat exchanger. Int J Heat Mass Transf 2009, 52: 2059. 10.1016/j.ijheatmasstransfer.2008.10.023View ArticleGoogle Scholar
- Abu-Nada E, Chamkha AJ: Effect of nanofluid variable properties on natural convection in enclosures filled with a CuO-EG-Water nanofluid. Int J Therm Sci 2010, 49: 2339. 10.1016/j.ijthermalsci.2010.07.006View ArticleGoogle Scholar
- Ho CJ, Wei LC, Li ZW: An experimental investigation of forced convective cooling performance of a microchannel heat sink with Al 2 O 3 /water nanofluid. Appl Therm Eng 2010, 30: 96. 10.1016/j.applthermaleng.2009.07.003View ArticleGoogle Scholar
- Feng Y, Kleinstreuer C: Nanofluid convective heat transfer in a parallel-disk system. Int J Heat Mass Transf 2010, 53: 4619. 10.1016/j.ijheatmasstransfer.2010.06.031View ArticleGoogle Scholar
- Jwo CS, Jeng LY, Teng TP, Chen CC: Performance of overall heat transfer in multi-channel heat exchanger by alumina nanofluid. J Alloy Compd 2010, 504S: 385.View ArticleGoogle Scholar
- Farajollahi B, Etemad SG, Hojjat M: Heat transfer of nanofluids in a shell and tube heat exchanger. Int J Heat Mass Transf 2010, 53: 12. 10.1016/j.ijheatmasstransfer.2009.10.019View ArticleGoogle Scholar
- Firouzfar E, Soltanieh M, Noie SH, Saidi SH: Energy saving in HVAC systems using nanofluid. Appl Therm Eng 2011, 31: 1543. 10.1016/j.applthermaleng.2011.01.029View ArticleGoogle Scholar
- Zamzamian A, Oskouie SN, Doosthoseini A, Joneidi A, Pazouki M: Experimental investigation of forced convective heat transfer coefficient in nanofluids of Al 2 O 3 /EG and CuO/EG in a double pipe and plate heat exchangers under turbulent flow. Exp Therm Fluid Sci 2011, 35: 495. 10.1016/j.expthermflusci.2010.11.013View ArticleGoogle Scholar
- Pak BC, Cho YL: Hydrodynamics and heat transfer study of dispersed fluids with submicron metallic oxide particles. Exp Heat Transf 1998, 11: 151. 10.1080/08916159808946559View ArticleGoogle Scholar
- Liu ZH, Zhu QZ: Application of aqueous nanofluids in a horizontal mesh heat pipe. Energy Conv Manag 2011, 52: 292. 10.1016/j.enconman.2010.07.001View ArticleGoogle Scholar
- JCPDS-ICDD: The International Centre for Diffraction Data. 2003. PCPDFWIN 2.4 PCPDFWIN 2.4Google Scholar
- Keblinski P, Phillpot SR, Choi SUS, Eastman JA: Mechanisms of heat flow in suspensions of nano-sized particles (nanofluids). Int J Heat Mass Transf 2002, 45: 855. 10.1016/S0017-9310(01)00175-2View ArticleGoogle Scholar
- Buongiorno J, Venerus DC, Prabhat N, McKrell T, Townsend J, Christianson R, Tolmachev YV, Keblinski P, Hu LW, Alvarado JL, Bang IC, Bishnoi SW, Bonetti M, Botz F, Cecere A, Chang Y, Chen G, Chen H, Chung SJ, Chyu MK, Das SK, Paola RD, Ding Y, Dubois F, Dzido G, Eapen J, Escher W, Funfschilling D, Galand Q, Gao J, et al.: A benchmark study on the thermal conductivity of nanofluids. J Appl Phys 2009, 106: 094312. 10.1063/1.3245330View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.