Effect of ternary hybrid nanoparticles (GO-MgO-TiO2) and radiative heat transfer on the solidification process of PCM inside a triplex tube with hollow fins

Hosseinzadeh, Khashayar; Faghiri, Shahin; Akbari, Shahin; Kermani, Javad Ranjbar; Jafari, Bahram; Shafii, Mohammad Behshad

doi:10.1016/j.ijft.2023.100443

Cited by 26 publications

(4 citation statements)

References 35 publications

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“…The governing equations were solved using Least Square Method (LSM), fourth order Runge-Kutta method (NUM) and Collocation Method (CM). Hosseinzadeh et al, [22] numerically examined the solidification process characteristics of PCM within triplex tube LHTESS featuring innovative hollow fins in ternary hybrid nanoparticles (THNPs) by solving the governing equation using GFE method. Gireesha et al, [23] analysed the thermal performance of moving longitudinal fin in hybrid nanofluid (MgO-Ag/water) and illustrated the effect graphically.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Wet Porous Moving Fin under the Influence of Spherical Shaped TiO2- Ag Hybrid Nanoparticles in a Water Based Fluid

Ammembal Gopalkrishna Pai,

Rekha G. Pai,

Lavanya B

et al. 2024

CFDL

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The study investigates the flow characteristics of spherical shaped TiO2 –Ag hybrid nanofluid with water as a base fluid passing through a wet porous rectangular moving fin with a focus on understanding the effects of nanoparticle concentration on the heat transfer rate. The fin under consideration are subjected to boundary conditions, insulated and convective tips. Hybrid nanofluid that combine nanoparticles with conventional base fluids have potentially enhanced thermal conductivity and heat transfer properties in engineering applications. The energy balance equation containing the parameters that effect the flow of heat transfer rate is non- dimensionalized and solved numerically using 3-stage Lobatto - IIIa formula with appropriate boundary conditions. The simulation result shows the impact of different parameters on the flow and heat transfer properties of the hybrid nanofluid obtained by mixing spherical shaped TiO2 –Ag hybrid nanoparticles with water as base fluid. It is observed that the fin shows significant heat transfer rate in a convective tip relative to an insulated tip. The findings contribute to the understanding of hybrid nanofluid flow and its potential application in the design and optimization of thermal management system. It also facilitates the ground work for research in the field of nano fluid based cooling system. The observation from the graphical illustration shows that the rise in the thermal conductivity of the base fluid by 23% increases the conduction heat transfer as well as the temperature distribution by 10%. The natural convection and radiation are the key parameters that determines the heat transfer rate from the surface to the surrounding. In our investigation, enhancing the Nc,Nr parameters by 50% and 25%, the temperature distribution profile is reduced by about 13% and 6% respectively. The increase in the Pe number by 100% results in a rise in the temperature distribution by 8%.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Wet Porous Moving Fin under the Influence of Spherical Shaped TiO2- Ag Hybrid Nanoparticles in a Water Based Fluid

Ammembal Gopalkrishna Pai,

Rekha G. Pai,

Lavanya B

et al. 2024

CFDL

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“…The increase in thermal conductivity, especially of organic phase-change materials, is one of the leading scientific issues related to their use in construction. In different contributions, conventional thermal conductors, such as copper or aluminium enclosures or foams [ 21 , 22 ], nano-mixes of carbon or graphite glass fibres, fullerenes, activated carbon [ 23 , 24 ], nanoparticles of transition metal oxides, e.g., titanium oxides TiO 2 , as described in [ 25 ], or using nano-liquid PCM systems, as described in [ 26 , 27 ], are used to enhance heat distribution within a solid PCM. An interesting example of increasing the efficiency of heat transfer within the PCM is the bionic system discussed in [ 28 ], based on the hierarchical arrangement of convective heat transfer channels between PCM granules.…”

Section: Introductionmentioning

confidence: 99%

“…The solution is dedicated to heat storage capacity at approximately 84 °C, and the composite itself featured a heat capacity of 173.11 J/g with an increase in thermal conductivity relative to pure nonadecane by up to 3.81 times. In [ 25 ], a hybrid composite (GO-MgO-TiO 2 ) that increased radiated heat transfer by 23% when in contact with PCM relative to pure PCM was presented. An interesting way of increasing heat transfer within the PCM is the use of hypergravity, as presented in [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

Musiał,

Lichołai

2024

Materials

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This paper presents the long-term, holistic results of research into an innovative heat accumulator based on an organic phase-change material in the form of a mixture of aliphatic alkanes, molecular silica sieves, carbon recyclate and epoxy and cement matrices. The research included chemical testing of vacuum soaking of molecular silica sieves with a liquid phase-change material. The results proved an improvement in the heat storage efficiency of the heat accumulators due to the addition of carbon recyclate by 28%, while increasing the heat storage time by 134 min, and a reduction in PCM leakage due to the use of molecular silica sieves. In addition to its cognitive scientific value, another research objective of the work achieved was to obtain response functions in the form of approximating polynomials. They provide a useful, validated and verified tool to predict the physical and chemical characteristics of heat accumulators with different contents of individual components. As part of the ongoing research, technical problems related to leak-proofing assurance and matrix selection for organic phase-change materials were also solved. The solution presented is in line with the issues of efficient use of renewable energy, low-carbon and energy-efficient circular economy.

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“…Ramzan et al [23] and Riasat et al [24] studied the heat transfer analysis on the different extended surface profiles with wet conditions. Hosseinzadeh et al [25] inspected the radiative heat transport in a hollow fin wetted with ternary nanoliquids. The radiation impact on the thermal behavior of the dovetail fin was deliberate by Nimmy et al [26].…”

mentioning

confidence: 99%

A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions

Kumar,

Srilatha,

Karthik

et al. 2024

Z Angew Math Mech

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The present research is focused on the inspection of unsteady heat dissipation through a radiative‐convective concave profiled fin along with the periodic boundary conditions. Additionally, the long‐short‐term memory machine learning (LSTM‐ML) approach is used in this study to examine the periodic fluctuation in the temperature of the fin. The current research is devoted to solving the highly non‐linear equation using a physics‐informed neural network (PINN) approach. Using the proper dimensionless terms, the associated fin problem is transformed into a non‐dimensional system, and the resulting partial differential equation (PDE) is then numerically solved using the finite difference method (FDM). Using the data‐driven LSTM‐ML technique, the time‐dependent periodic heat transmission in the concave fin is also examined. The impact of various factors on the temperature profile of the concave extended surface is explained, and the results are visually displayed. The temperature distribution in the concave fin diminishes as the convection‐conduction parameter and radiation‐conduction parameter rise. As the amplitude and thermal conductivity parameters improve, so does the temperature of the concave fin. Furthermore, it is demonstrated that although LSTM‐ML and PINN closely matched the FDM findings during the training domain, only PINN with designed characteristics has the potential to predict accurately beyond the trained region by capturing the physics of the problem.

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Effect of ternary hybrid nanoparticles (GO-MgO-TiO2) and radiative heat transfer on the solidification process of PCM inside a triplex tube with hollow fins

Cited by 26 publications

References 35 publications

Performance Analysis of Wet Porous Moving Fin under the Influence of Spherical Shaped TiO2- Ag Hybrid Nanoparticles in a Water Based Fluid

Performance Analysis of Wet Porous Moving Fin under the Influence of Spherical Shaped TiO2- Ag Hybrid Nanoparticles in a Water Based Fluid

Multi-Faceted Analysis of Phase-Change Composite Intended for Autonomous Buildings

A physics‐informed machine learning prediction for thermal analysis in a convective‐radiative concave fin with periodic boundary conditions

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