4.7 Article

Investigation into the effects of slip boundary condition on nanofluid flow in a double-layer microchannel

期刊

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
卷 131, 期 3, 页码 2975-2991

出版社

SPRINGER
DOI: 10.1007/s10973-017-6813-3

关键词

Double-layer microchannel; Slip velocity coefficient; Nusselt number; Friction coefficient; Thermal resistance; Pressure drop

向作者/读者索取更多资源

In this research, the laminar flow and heat transfer of kerosene/MWCNT nanofluid in a novel design of a double-layer microchannel under the influence of oscillating heat flux and slip boundary condition have been studied. This research has been investigated in the dimensionless lengths of (lambda (1)) 1/3, 2/3 and 3/3 and dimensionless slip velocity coefficients ranging from 0.001 to 0.1. The suspension of nanoparticles in kerosene as the base fluid has been studied in Reynolds numbers of 1-100 and volume fractions of 0-8%. The results indicate that, by using novel design of double-layer microchannel in lambda (1) = 1/3, the maximum rate of performance evaluation criterion is obtained and by increasing the slip velocity coefficient, the amount of PEC becomes significant. Among the studied cases, in all Reynolds numbers and volume fractions, the dimensionless length of 1/3 has the maximum amount of friction coefficient. Also, by enhancing the volume fraction of nanoparticles, slip velocity coefficient, Reynolds number and significant reduction in thermal resistance of solid wall, Nusselt number enhances.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Automation & Control Systems

Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling

J. S. Xia, Mohamad Khaje Khabaz, Indrajit Patra, Imran Khalid, Jose Ricardo Nunez Alvarez, Alireza Rahmanian, S. Ali Eftekhari, Davood Toghraie

Summary: This paper uses an Artificial Neural Network (ANN) to investigate the influence of rolling parameters on the rolling force, rolling power, and slip of tandem cold rolling. Real data collected from a practical tandem rolling line is used to train and test the network. The best topology of the ANN is determined, and the results show accurate prediction of the cold rolling parameters considered in this study.

ISA TRANSACTIONS (2023)

Article Engineering, Multidisciplinary

Removal of chromium (VI) from aqueous solution using Eggshell/poly pyrrole composite

Saied Ehsanpour, Majid Riahi Samani, Davood Toghraie

Summary: In this study, eggshell/poly pyrrole composites were used to remove chromium (VI) from water. The experimental factors included contact time, pH of the solution, adsorbent dosage, and adsorption isotherms. The results showed that the composites had a favorable effect on chromium removal, especially when prepared with 2g/L Poly Ethylene glycol in a mixture of water and ethanol solvents. The optimum removal time was 30 minutes, and the highest removal percentage was observed at pH 5. The adsorption process followed Langmuir and Freundlich isotherms, and the maximum chromium adsorption capacity was 175.5 mg/g.

ALEXANDRIA ENGINEERING JOURNAL (2023)

Article Nuclear Science & Technology

Second law analysis of a 3D magnetic buoyancy-driven flow of hybrid nanofluid inside a wavy cubical cavity partially filled with porous layer and non-Newtonian layer

Aissa Abderrahmane, Abed Mourad, Sahnoun Mohammed, Ghassan Fadhil Smaisim, Davood Toghraie, Aimad Koulali, Kamel Guedri, Obai Younis

Summary: This study investigates the buoyancy-driven flow of a hybrid nanofluid in a cubical cavity in the presence of a magnetic field. The numerical results demonstrate that the geometrical parameters, non-Newtonian properties, and magnetic field have significant effects on the heat exchange in the cavity.

ANNALS OF NUCLEAR ENERGY (2023)

Article Chemistry, Physical

Separation of SiO2 nanoparticles from H2O vapour using graphene nano-pores in the presence of an external electric field: A molecular dynamics approach

Ashkan Bahadoran, Massimiliano Galluzzi, Basim Al-Qargholi, Mohammad Hosein Sabzalian, Farag M. A. Altalbawy, Ibrahem Waleed, Salema K. Hadrawi, Ali Abdul Kadhim Ruhaima, Wael dheaa Kadhim, Davood Toghraie

Summary: Air pollution is a major cause of death worldwide, and reducing pollution for clean air has gained attention. This study investigates the effect of the number of graphene nano-pores on the separation of SiO2 from H2O vapor in the presence of an electric field. The results show that increasing the number of graphene nano-pores increases the passage of water molecules, while the electric field prevents the passage of SiO2 nanoparticles, suggesting potential applications for efficient air purification and monitoring.

CARBON (2023)

Article Construction & Building Technology

Multi-objective optimization of Venetian blinds in office buildings to reduce electricity consumption and improve visual and thermal comfort by NSGA-II

Mohammadreza Baghoolizadeh, Mohammad Rostamzadeh-Renani, Reza Rostamzadeh-Renani, Davood Toghraie

Summary: Because the building sector consumes a large amount of energy, providing effective methods is crucial. Windows play a significant role in buildings as they provide natural light. Improper window design and shading can lead to overheating, increased energy consumption, and discomfort for occupants. This paper presents a new approach for optimizing the architectural specifications and control parameters of a smart shadow curtain, resulting in reduced energy consumption and improved thermal and visual comfort.

ENERGY AND BUILDINGS (2023)

Article Chemistry, Physical

Molecular dynamics simulation of thermal behavior of nanofluid flow in a nanochannel with Cetryltrimethylammoniu Bromide surfactant molecules

Qibing Yu, Ameer A. Alameri, As'ad Alizadeh, Maboud Hekmatifar, Mohsin O. AL-Khafaji, Kianoush Ramezani Shabolaghi, Nafis Ahmad, A. M. Alshehri, Navid Nassajpour-Esfahani, Davood Toghraie, Salema K. Hadrawi

Summary: This study investigated the thermal properties of water-copper nanofluids with or without surfactant molecules in a rectangular nanochannel using molecular dynamics simulation. The results showed that decreasing the wall temperature and increasing the size of copper nanoparticles led to a decrease in thermal conductivity and an increase in heat flux. Therefore, these findings are significant for enhancing the efficiency of thermal industries.

JOURNAL OF MOLECULAR LIQUIDS (2023)

Article Engineering, Mechanical

A novel integrated model to improve the dynamic viscosity of MWCNT-Al2O3 (40:60)/Oil 5W50 hybrid nano-lubricant using artificial neural networks (ANNs)

Mohammad Hemmat Esfe, Reza Esmaily, Mohamad Khaje Khabaz, As'ad Alizadeh, Mostafa Pirmoradian, Alireza Rahmanian, Davood Toghraie

Summary: In this study, an integrated version is proposed to enhance the dynamic viscosity of MWCNT-Al2O3 (40:60)/Oil 5W50 hybrid nanofluid. The relationship between energy consumption and key parameters such as temperatures, solid volume fractions, and shear rates is established. ANNs are used to develop a data analysis model for predicting the dynamic viscosity of the hybrid nanofluid. The study finds that the highest dynamic viscosity values are observed at temperatures below 5 degrees C, and the dynamic viscosity decreases with increasing shear rates.

TRIBOLOGY INTERNATIONAL (2023)

Article Computer Science, Artificial Intelligence

Optimization of accuracy in estimating the dynamic viscosity of MWCNT-CuO/oil 10W40 nano-lubricants

Mohammad Hemmat Esfe, Davood Toghraie, Fatemeh Amoozadkhalili, Soheyl Alidoust

Summary: In this study, the viscosity of MWCNT-CuO (10-90)/Oil 10W40 nano-lubricant is modeled by artificial neural network (ANN) using experimental data. The accuracy of the predicted data by ANN is verified through mean square error (MSE), regression coefficient, and margin of deviation (MOD) analysis.

EGYPTIAN INFORMATICS JOURNAL (2023)

Article Thermodynamics

Comparison of thermal conductivity of water-based nanofluids with various combinations of MWCNT, CuO, and SiO2 nanoparticles for using in heating systems

Mohammad Hemmat Esfe, Soheyl Alidoust, Davood Toghraie

Summary: This research aims to find an optimal nanofluid for industrial applications by comparing two water-based nanofluids. The first nanofluid showed a higher thermal conductivity enhancement of 37.10% compared to the second nanofluid, which only had a 16.20% increase.

CASE STUDIES IN THERMAL ENGINEERING (2023)

Article Automation & Control Systems

Using Gaussian Process Regression (GPR) models with the Mat?rn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach

Xiaohong Dai, Hamid Taheri Andani, As'ad Alizadeh, Azher M. Abed, Ghassan Fadhil Smaisim, Salema K. Hadrawi, Maryam Karimi, Mahmoud Shamsborhan, D. Toghraie

Summary: This research studies the effect of volume fraction, shear rate, and temperature on the dynamic viscosity and torque of SiO2 nanoparticles/ethylene glycol nanofluid using an artificial neural network. The Gaussian Process Regression model with Matern covariance function provides the best results in predicting the rheological properties. The correlation results show high accuracy and power in predicting the dynamic viscosity and torque.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)

Article Chemistry, Multidisciplinary

Evaluation of the effects of the presence of ZnO- TiO2 (50%-50%) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications

Asad Alizadeh, Khidhair Jasim Mohammed, Ghassan Fadhil Smaisim, Salema K. Hadrawi, Hussein Zekri, Hamid Taheri Andani, Navid Nasajpour-Esfahani, Davood Toghraie

Summary: The study predicted the thermal conductivity (knf) of ZnO-TiO2 (50% - 50%)/ Ethylene Glycol hybrid nanofluid using Artificial Neural Networks (ANNs). The nanofluid was prepared at different volume fractions (u) of nanoparticles (u = 0.001 to 0.035) and temperatures (T = 25 to 50 degrees C). The study introduced an algorithm to determine the optimal number of neurons in the hidden layer and used a surface fitting method for knf prediction. The results showed that ANN method outperformed the fitting method in terms of knf prediction, with better MAE and correlation coefficient.

JOURNAL OF SAUDI CHEMICAL SOCIETY (2023)

Article Energy & Fuels

Molecular dynamics study of the effects of the porosity and initial pressure on phase transition of porous phase change materials

Huanlei Wang, Duaa Abdul Rida Musa, Nafis Ahmad, Farag M. A. Altalbawy, Nawras Ali Salman, Waleed Mohammed Khazaal, Noor Abd Alkhudhur Salman, Munther Abosaooda, Navid Nasajpour-Esfahani, Maboud Hekmatifar, Davood Toghraie

Summary: This study explores the use of phase change materials (PCMs) in thermal energy storage (TES) systems for renewable energy. The study focuses on the use of paraffin as PCM and copper oxide nanoparticles in a porous carbon matrix. Molecular dynamics simulation is used to study the phase transition process and the effects of atomic porosity and initial pressure on thermal performance.

JOURNAL OF ENERGY STORAGE (2023)

Article Chemistry, Multidisciplinary

Correlation and thermal conductivity sensitivity analysis of ternary hybrid nanofluids containing CuO and TiO2 nanoparticles and multi-walled carbon nanotubes

Mohammad Hemmat Esfe, Soheyl Alidoust, Davood Toghraie

Summary: This study aims to improve the performance of industrial equipment by preparing and examining a special hybrid nanofluid. The results show that temperature and solid volume fraction have a direct impact on thermal conductivity enhancement. The experiment provides a very accurate correlation relationship and the maximum deviation for the studied THNF is only 0.95%.

KOREAN JOURNAL OF CHEMICAL ENGINEERING (2023)

Article Engineering, Multidisciplinary

MHD natural convection of Fe3O4-MWCNT/Water hybrid nanofluid filled in a porous annulus between a circular cylinder and Koch snowflake

Abed Mourad, Abderrahmane Aissa, Azher M. Abed, Davood Toghraie, Omid Ali Akbari, Kamel Guedri, Obai Younis, Riadh Marzouki

Summary: This work numerically investigates the MHD natural convection and entropy generation characteristics of water-based hybrid nanofluid in a porous annulus. The influence of parameters such as nanoparticle volume fraction, Rayleigh number, Hartman number, Darcy number, and the position of the Koch snowflake on the flow and heat transfer is examined. Applying a Lorentz force affects the flow velocity and facilitates fluid circulation in the cavity.

ALEXANDRIA ENGINEERING JOURNAL (2023)

Article Entomology

An application of dielectric barrier discharge treatment to control gray mold growth on cut rose flowers

Amirhosein Kazemiyan Jahromi, Ali Esehaghbeygi, S. Mohammad Sajadi, Ali Nikbakht, Washington da Silva, Bahram Sharifnabi, D. Toghraie

Summary: In this study, the effect of cold plasma treatment on controlling gray mold in cut roses was evaluated. The results showed that cold plasma irradiation effectively suppressed gray mold growth without affecting the quality indices of rose petals.

JOURNAL OF STORED PRODUCTS RESEARCH (2023)

暂无数据