Abstract
This study analyzes the thermal performance of a specially designed heat pipe heat exchanger (HPHE) containing distinct evaporator and condenser sections and utilizes two convective heat transfer media—deionized (DI) water and silver nanofluids. Low-grade industrial waste heat at 50–60 °C is the primary heat source. The HPHE employs a stainless steel mesh wick and copper fins to promote efficient evaporation and condensation heat transfer (background). The goal was to assess and compare the HPHE's performance in recovering this waste heat using DI water and silver nanofluids as the working fluids (purpose). A custom-built experimental setup allowed careful control and systematic variation of operating parameters, including thermal load (70-90W), and hot and cold fluid mass flow rates (0.2–0.6 kg⋅min−1 and 0.1–0.3 kg⋅min−1). The nanofluid was synthesized robustly, demonstrating remarkable uniformity and stability. The working fluids' heat exchange rates and efficiencies were analyzed and compared based on calculated thermal resistance, overall heat transfer coefficient (U), and effectiveness (ε) values (methods). The nanofluid reduced thermal resistance by 10–15% and improved U and ε by over 60% compared to DI water. A maximum effectiveness of 39.25% proved the HPHE's exceptional waste heat recovery capacity using nanofluids (results). Heat transfer performance escalated with higher thermal loads yet required optimal mass flow rates to balance turbulence and exposure time. The modified HPHE with silver nanofluids shows immense potential for harnessing industrial waste heat through substantially intensified heat exchange rates and thermal efficiency.
Similar content being viewed by others
Data Availability
No datasets were generated or analysed during the current study.
Abbreviations
- kf:
-
Thermal conductivity of the base fluid (W⋅m−1⋅K−1)
- kp:
-
Thermal conductivity of nanoparticles (W⋅m−1⋅K−1)
- φ:
-
The volume fraction of nanoparticles (–)
- knf:
-
Thermal conductivity of nanofluid (W⋅m−1⋅K−1)
- μf:
-
Viscosity of base fluid (Pa⋅s)
- μnf:
-
Viscosity of nanofluid (Pa⋅s)
- ρf:
-
Density of base fluid (kg⋅m−3)
- ρp:
-
Density of nanoparticles (kg⋅m−3)
- ρnf:
-
Density of nanofluid (kg⋅m−3)
- (ρCp)f:
-
Heat capacity of base fluid (J⋅kg−1⋅K−1)
- (ρCp)p:
-
Heat capacity of nanoparticles (J⋅kg−1⋅K−1)
- (ρCp)nf:
-
Heat capacity of nanofluid (J⋅kg−1⋅K−1)
- T:
-
Temperature (K or °C)
- Q:
-
Heat transfer rate (W)
- h:
-
Heat transfer coefficient (W⋅m−2⋅K−1)
- A:
-
Surface area (m2)
- ΔTlm:
-
Log mean temperature difference (K or °C)
- Rth:
-
Thermal resistance (K⋅W−1)
- ε:
-
Effectiveness (–)
References
P. Barnoon, Electroosmotic flow and heat transfer of a hybrid nanofluid in a microchannel: a structural optimization. Int. J. Thermofluids 20, 100499 (2023)
A. Bin Mahfouz, A. Ali, M. Mubashir, A.S. Hanbazazah, M. Alsaady, P.L. Show, Optimization of viscosity of titania nanotubes ethylene glycol/water-based nanofluids using response surface methodology. Fuel 347, 128334 (2023)
J. Cheng, H. Xu, Z. Tang, P. Zhou, Multi-objective optimization of manifold microchannel heat sink with corrugated bottom impacted by nanofluid jet. Int. J. Heat Mass Transf. 201, 123634 (2023)
J. Cui, F. Azam, U. Farooq, M. Hussain, Non-similar thermal transport analysis in entropy optimized magnetic nanofluids flow by considering effective Prandtl number model with melting heat transfer and Joule heating. J. Magn. Magn. Mater. 567, 170331 (2023)
U. Fayaz, S. Manzoor, A.H. Dar, K.K. Dash, I. Bashir, V.K. Pandey et al., Advances of nanofluid in food processing: preparation, thermophysical properties, and applications. Food Res. Int. 170, 112954 (2023)
P. Ganesh Kumar, V.S. Vigneswaran, V. Sivalingam, R. Velraj, S.C. Kim, V. Ramkumar, Enhancing heat transfer performance of automotive radiator with H2O/activated carbon nanofluids. J. Mol. Liq. 371, 121153 (2023)
A. Ghafouri, D. Toghraie, Novel multivariate correlation for thermal conductivity of SiC-MgO/ethylene glycol nanofluid based on an experimental study. Mater. Sci. Eng. B 297, 116771 (2023)
A.A. Hachicha, Z. Said, Numerical modeling and multi-objective optimization of direct absorption solar collectors using mono and hybrid nanofluids. J. Clean. Prod. 414, 137740 (2023)
K. Afsari, M.R. Sarmasti Emami, S. Zahmatkesh, J. Jaromír Klemeš, A. Bokhari, Optimizing the thermal performance of the thermosyphon heat pipe for energy saving with graphene oxide nanofluid. Energy 274, 127422 (2023)
A. Aghaei, Thermal-hydraulic analysis of Syltherm 800 thermal oil / γ-AlOOH nanofluid in a baffled shell and tube heat exchanger equipped with corrugated helical tube with two-phase approach. Eng. Anal. Bound. Elem. 146, 668–694 (2023)
A.M. Ajeena, I. Farkas, P. Víg, A comprehensive experimental study on thermal conductivity of ZrO2-SiC /DW hybrid nanofluid for practical applications: characterization, preparation, stability, and developing a new correlation. Arab. J. Chem. 16, 105346 (2023)
A.H. Aref, S. Shahhosseini, Investigation and optimization of ultrasound-assisted process of carbon dioxide absorption into amine-based nanofluids. J. Environ. Chem. Eng. 11, 111364 (2023)
D.Y. Aydın, E. Aydin, M. Gürü, The effects of particle mass fraction and static magnetic field on the thermal performance of NiFe2O4 nanofluid in a heat pipe. Int. J. Therm. Sci. 183, 107875 (2022)
K. Hosseinzadeh, M.A. Erfani Moghaddam, S.K. Nateghi, M. Behshad Shafii, D.D. Ganji, Radiation and convection heat transfer optimization with MHD analysis of a hybrid nanofluid within a wavy porous enclosure. J. Magn. Magn. Mater. 566, 170328 (2023)
S. Islam, M.M. Islam, B.M.J. Rana, M.S. Islam, S. Reza-E-Rabbi, M.S. Hossain et al., Numerical investigation with sensitivity study of MHD mixed convective hexagonal heat exchanger using TiO2–H2O nanofluid. Results Eng. 18, 101136 (2023)
A. Jahanbin, G. Semprini, B. Pulvirenti, Performance evaluation of U-tube borehole heat exchangers employing nanofluids as the heat carrier fluid. Appl. Therm. Eng. 212, 118625 (2022)
P.K. Kanti, M.P. Maiya, Rheology and thermal conductivity of graphene oxide and coal fly ash hybrid nanofluids for various particle mixture ratios for heat transfer applications: experimental study. Int. Commun. Heat Mass Transfer 138, 106408 (2022)
H. Ma, B. He, L. Su, D. He, Heat transfer enhancement of nanofluid flow at the entry region of microtubes. Int. J. Therm. Sci. 184, 107944 (2023)
S.R. Madas, R. Narayanan, P. Gudimetla, Single and multi-objective optimization of PVT performance using response surface methodology with CuO nanofluid application. Sol. Energy 263, 111952 (2023)
P. Martínez-Merino, P. Estellé, R. Alcántara, I. Carrillo-Berdugo, J. Navas, Thermal performance of nanofluids based on tungsten disulphide nanosheets as heat transfer fluids in parabolic trough solar collectors. Sol. Energy Mater. Sol. Cells 247, 111937 (2022)
A.H. Milyani, M.A. Al-Ebrahim, E.T. Attar, N.H. Abu-Hamdeh, M.E. Mostafa, O.K. Nusier et al., Artificial intelligence optimization and experimental procedure for the effect of silicon dioxide particle size in silicon dioxide/deionized water nanofluid: preparation, stability measurement and estimate the thermal conductivity of produced mixture. J. Market. Res. 26, 2575–2586 (2023)
M. Mohammadi, Thermo-hydrodynamical optimization of direct absorption solar collector from Stokes to low Reynolds numbers regimes of nanofluid flow. Therm. Sci. Eng. Prog. 46, 102220 (2023)
R.M. Mostafizur, M.G. Rasul, M.N. Nabi, Effect of surfactant on stability, thermal conductivity, and viscosity of aluminium oxide–methanol nanofluids for heat transfer applications. Therm. Sci. Eng. Prog. 31, 101302 (2022)
S.K. Pathak, R. Kumar, V. Goel, A.K. Pandey, V.V. Tyagi, Recent advancements in thermal performance of nano-fluids charged heat pipes used for thermal management applications: a comprehensive review. Appl. Therm. Eng. 216, 119023 (2022)
P. Rana, Heat transfer optimization and rheological features of Buongiorno nanofluid in a convectively heated inclined annulus with nonlinear thermal radiation. Propul. Power Res. (2023). https://doi.org/10.1016/J.JPPR.2023.10.002
S. Sonawane, Investigation of turbulent heat transfer performance of aviation turbine fuel multi-wall carbon nanotube nanofluid. Adv. Powder Technol. 34, 104079 (2023)
Z. Su, L. Yang, N. Zhao, J. Song, X. Li, X. Wu, Steady flow properties and spectral absorption potential of supercritical carbon dioxide nanofluids: experimental comparison and machine learning optimization. Powder Technol. 434, 119315 (2023)
W.W. Wang, Y.J. Song, C.Y. Zhang, H.L. Zhang, Y. Cai, F.Y. Zhao et al., Fluid hydrodynamics and thermal transports in nanofluids pulsating heat pipes applied for building energy exploitations: experimental investigations and full numerical simulations. Energy Build 290, 113067 (2023)
R.I. Yahaya, M.S. Mustafa, N. Md Arifin, I. Pop, F. Md Ali, S.S.P. Mohamed Isa, Hybrid nanofluid flow past a biaxial stretching/shrinking permeable surface with radiation effect: Stability analysis and heat transfer optimization. Chin. J. Phys. 85, 402–420 (2023)
M.S. Yılmaz, M. Ünverdi, H. Kücük, N. Akcakale, F. Halıcı, Enhancement of heat transfer in shell and tube heat exchanger using mini-channels and nanofluids: an experimental study. Int. J. Therm. Sci. 179, 107664 (2022)
F. Zakeri, M.R.S. Emami, Experimental and numerical investigation of heat transfer and flow of water-based graphene oxide nanofluid in a double pipe heat exchanger using different artificial neural network models. Int. Commun. Heat Mass Transfer 148, 107002 (2023)
R. Zhang, S. Qing, X. Zhang, J. Li, Y. Liu, X. Wen, Experimental investigation and machine learning modeling of heat transfer characteristics for water based nanofluids containing magnetic Fe3O4 nanoparticles. Mater Today Commun 36, 106798 (2023)
Z. Zhang, M. Al-Bahrani, B. Ruhani, H. Heybatian Ghalehsalimi, N. Zandy Ilghani, H. Maleki et al., Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids. Chem. Eng. J. 471, 144362 (2023)
M. Milanese, F. Micali, G. Colangelo, A. del Risi, Experimental evaluation of a full-scale HVAC system working with nanofluid. Energies 15, 2902 (2022)
G. Colangelo, N.F. Diamante, M. Milanese, G. Starace, A. de Risi, A critical review of experimental investigations about convective heat transfer characteristics of nanofluids under turbulent and laminar regimes with a focus on the experimental setup. Energies 14, 6004 (2021)
G. Colangelo, B. Raho, M. Milanese, A. de Risi, Numerical evaluation of a HVAC system based on a high-performance heat transfer fluid. Energies 14, 3298 (2021)
M. Milanese, F. Iacobazzi, G. Colangelo, A. de Risi, An investigation of layering phenomenon at the liquid–solid interface in Cu and CuO based nanofluids. Int. J. Heat Mass Transf. 103, 564–571 (2016)
G. Colangelo, E. Favale, P. Miglietta, M. Milanese, A. de Risi, Thermal conductivity, viscosity and stability of Al2O3-diathermic oil nanofluids for solar energy systems. Energy 95, 124–136 (2016)
F. Iacobazzi, M. Milanese, G. Colangelo, A. de Risi, A critical analysis of clustering phenomenon in Al 2 O 3 nanofluids. J. Therm. Anal. Calorim. 135, 371–377 (2019)
G. Colangelo, E. Favale, M. Milanese, A. de Risi, D. Laforgia, Cooling of electronic devices: Nanofluids contribution. Appl. Therm. Eng. 127, 421–435 (2017)
F. Iacobazzi, M. Milanese, G. Colangelo, M. Lomascolo, A. de Risi, An explanation of the Al2O3 nanofluid thermal conductivity based on the phonon theory of liquid. Energy 116, 786–794 (2016)
G. Colangelo, M. Milanese, A. De Risi, Numerical simulation of thermal efficiency of an innovative Al2O3 nanofluid solar thermal collector influence of nanoparticles concentration. Therm. Sci. 21, 2769–2779 (2017)
Acknowledgements
Thanks to Kalasalingam Academy of Research and Education, Kalasalingam University, Krishnan koil, Tamilnadu, for providing lab facilities and technical support for the smooth conduct of this research work.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Author information
Authors and Affiliations
Contributions
R.S. conceived and designed the study, conducted the experimental work, and analyzed the data. T.M. contributed to the literature review, assisted in experimental design, and performed data interpretation. S.M. provided guidance in the experimental setup, reviewed and validated the data, and contributed to the theoretical framework. R.D. facilitated the experimental setup, conducted simulations, and contributed to the manuscript's preparation. All authors participated in manuscript writing and editing, providing critical feedback, and approved the final version for submission.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Sethuraman, R., Muthuvelan, T., Mahadevan, S. et al. Maximizing Thermal Performance of Heat Pipe Heat Exchangers for Industrial Applications Using Silver Nanofluids. Int J Thermophys 45, 55 (2024). https://doi.org/10.1007/s10765-024-03343-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10765-024-03343-1