Article
Thermodynamics
Peichao Li, Feilong Yue, Keyong Wang, Hengyun Zhang, Haibo Huang, Xiangyan Kong
Summary: This paper presents a fully coupled thermo-hydro-mechanical (THM) model of a fluid-saturated and compressible porous medium under local thermal non-equilibrium (LTNE) condition and carries out numerical simulations to investigate the behavior of different physical fields. The results show the impact of various parameters on the stress, pore pressure, and temperature fields, providing valuable insights into the THM coupling mechanism and the LTNE effect in fluid-saturated porous media.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Mathematics, Applied
Pramod Kumar Yadav, Amit Kumar Verma
Summary: The flow behavior of two immiscible fluids in an inclined channel made of two rigid plates is analyzed in this study, with the flow governed by Brinkman's equation. By solving the mathematical model, the effects of different parameters on linear velocity, microrotational velocity, flow rate, and stresses are evaluated and presented graphically. The results are validated against previous established results.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Review
Thermodynamics
Sukumar Pati, Abhijit Borah, Manash Protim Boruah, Pitambar R. Randive
Summary: This paper provides a comprehensive review of the use of porous media in thermal systems, discussing the effects of different modelling approaches on heat transfer and entropy generation, and critically evaluates the applicability of LTE and LTNE methods.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Water Resources
D. Hernandez, E. C. Herrera-Hernandez
Summary: This study presents different Generalized Double Porosity Models for anomalous fluid flow in fractured porous media and discusses their applications in transient production decline. It explores the effects of subdiffusive and superdiffusive flows in fracture networks, coupled with subdiffusive transport inside the matrix, and provides insights into identifying these types of flow in geological formations. Additionally, it discusses different interpretations of model parameters for estimating the length scales of system main heterogeneities and shows that superdiffusive flow regimes could result from highly heterogeneous porous systems with scale-free permeability distributions. Finally, it demonstrates that the use of non-local models discussed here allows for a novel way to construct effective single porosity models for describing double porosity systems over the long term.
ADVANCES IN WATER RESOURCES
(2021)
Article
Physics, Fluids & Plasmas
Santiago G. Solazzi, Beatriz Quintal, Klaus Holliger
Summary: This work presents a numerical approach to model the attenuation and modulus dispersion of compressional waves due to squirt flow in porous media saturated by Maxwell-type non-Newtonian fluids. The results show that wave signatures strongly depend on the Deborah number, with larger values leading to increased attenuation and a shift towards higher frequencies.
Article
Chemistry, Physical
Shanshan Yang, Mengying Wang, Sheng Zheng, Shuguang Zeng, Ling Gao
Summary: Based on the statistical self-similar fractal characteristics of porous media microstructure, a permeability analysis model of fluids in a matrix-embedded fracture network is established. The predicted values show that the permeability of rough fracture network and rough matrix pores decreases with increasing relative roughness, and is lower than experimental data. The total flow rate of rough fractured dual porous media is lower than that of a smooth fractal model and experimental data. Additionally, the relative roughness of the fracture network has a greater influence on fluid permeability than the relative roughness of matrix pores in the fractured dual porous media.
Article
Engineering, Geological
Hongwei Zhang, Mostafa E. Mobasher, Zhenzhong Shen, Haim Waisman
Summary: We propose a unified non-local damage model for hydraulic fracture processes in porous media, where damage evolves as a function of fluid pressure. This model achieves a non-local damage formulation similar to gradient-type models without additional degrees of freedom. Nonlinear anisotropic permeability is used to distinguish between fluid flow velocity in the damage zone and intact porous media, with the permeability evolving based on an equivalent strain measure controlled by the direction of principle strain. The proposed model is able to accurately capture hydraulic fracture features and is insensitive to mesh size and time step size.
Article
Geosciences, Multidisciplinary
Yi Jin, Zenghua Zhang, Rouzbeh Ghanbarnezhad Moghanloo
Summary: In this study, a harmonic oscillation equation is used to describe non-equilibrium (NE) effects in particulate flow systems. By solving coupled mass balance equations using computational fluid dynamic (CFD) techniques, the time variation of the NE effect is found to comply with the theory of stability. This research sheds light on explaining complex NE effects in porous media and provides a generalized equation to model NE in particulate flow.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Mechanics
Takshak Shende, Vahid Niasar, Masoud Babaei
Summary: The study highlights that micro-heterogeneity of porous media plays a significant role in influencing non-Newtonian two-phase flow, potentially causing flow instability. Therefore, in designing polymer solution injection, it is crucial to take into account the microscale heterogeneity of the media, in addition to considering capillary number and viscosity ratio.
JOURNAL OF NON-NEWTONIAN FLUID MECHANICS
(2021)
Article
Environmental Sciences
Senyou An, Muhammad Sahimi, Vahid Niasar
Summary: Hydrodynamic dispersion in flow through porous media is an essential phenomenon in many geosystems. However, limited studies have focused on dispersion in flow of non-Newtonian fluids. This study used pore-scale simulations to investigate the effects of rheology and flow dynamics on hydrodynamic dispersion. Surprisingly, the simulations revealed a non-monotonic relationship between injection rate and dispersivity, highlighting the need for improved theories of transport in porous materials for non-Newtonian fluids.
WATER RESOURCES RESEARCH
(2022)
Article
Thermodynamics
Chao-zhe Zhu, M. Nematipour, Rahim Bina, H. Fayaz
Summary: The current study focuses on improving the cooling performance of turbine blades by utilizing non-Newtonian fluid. The rheology of non-Newtonian behavior is introduced and a differential quadrature procedure is used to simplify the highly nonlinear equations of motion. The findings show that changing the cross-viscosity parameter and power law index has a significant impact on the cooling performance of turbine blades.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Engineering, Chemical
Kourosh Javaherdeh, Habib Karimi, Abbas Khojasteh
Summary: This study investigates the heat transfer enhancement and pressure drop in a parallel channel partially filled with porous blocks and non-Newtonian nanofluid. Increasing the Reynolds number can improve heat transfer, and using a non-Newtonian nanofluid with a power-law index of 1.5 can achieve a higher Nusselt number compared to Newtonian fluids.
Article
Physics, Multidisciplinary
H. J. Seybold, U. Eberhard, E. Secchi, R. L. C. Cisne, J. Jimenez-Martinez, R. F. S. Andrade, A. D. Araujo, M. Holzner, J. S. Andrade
Summary: Through high-resolution microfluidic experiments and extensive numerical simulations, we demonstrate how the flow patterns inside a swiss-cheese type of pore geometry can be systematically controlled by the intrinsic rheological properties of the fluid. The observed flow localization can be explained by the strong interplay between the disordered geometry of the pore space and the nonlinear rheology of the fluid, highlighting the potential enhancement of chemical reactors and chromatographic devices by controlling the channeling patterns inside disordered porous media.
FRONTIERS IN PHYSICS
(2021)
Article
Thermodynamics
Zhengwei Huang, Hongliang Dai, Yucheng Wei, Zhiwei Sun
Summary: This study establishes a heat transfer model to solve the problem of temperature distribution for heated objects in small heating equipment. An experiment is conducted to validate the model's reliability. It is found that there is a noticeable temperature difference between the inner and outer parts of a composite cylinder with thermal conductivity when heated by a centralized heat source. This problem can be effectively improved by increasing the equivalent thermal conductivity of porous media materials or changing the heating structure, and the temperature distribution of the composite cylinder can be easily controlled by adjusting the temperatures of the surrounding and centralized heat sources.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Arman Fathi-kelestani, Meysam Nazari, Yasser Mahmoudi
Summary: The study investigates the forced convection heat transfer of a pulsating flow in a porous medium, revealing that the amplitudes of unsteady temperatures for the fluid and solid phases decrease with an increase in Biot number or thermal conductivity ratio, and that increasing Biot number or thermal conductivity ratio decreases the amplitude of Nusselt number.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Mulupuri Nagapavani, Venkat Rao Kanuri, Mohammed Fareeduddin, K. Thanesh Kumar, Uma C. Kolli, M. Sunitha, Chetana Gali, Rangaswamy Naveen Kumar
Summary: This study investigates the flow of a water-based ternary hybrid nanofluid on a curved stretching sheet and explores the effects of key parameters on the temperature and velocity profiles. The results indicate that increasing the heat source/sink parameter enhances the heat transport in the nanoliquid, while increasing curvature parameter values reduce heat transport.
Article
Energy & Fuels
Pudhari Srilatha, Srinivas Remidi, Mulupuri Nagapavani, Harjot Singh, B. C. Prasannakumara
Summary: This study investigates the heat and mass transport characteristics of a liquid flow across the conical gap of a cone-disk apparatus. The effects of solar radiation and thermophoresis on heat transport and mass deposition are considered. By using appropriate similarity transformations, the three-dimensional partial differential equations are converted into a system of nonlinear ordinary differential equations. The results show that increasing Reynolds numbers and radiation parameter values significantly enhance the flow field and heat transport.
Article
Materials Science, Multidisciplinary
R. J. Punith Gowda, R. Naveen Kumar, Raman Kumar, B. C. Prasannakumara
Summary: This study investigates the three-dimensional laminar flow of a magnetic liquid over a stretching sheet with the influence of thermal radiation and Cattaneo-Christov heat flux. The equations are transformed into non-linear ordinary differential equations (ODEs) and solved numerically. Various factors affecting velocity and temperature profiles are examined through graphs.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Physics, Multidisciplinary
Sami Ullah Khan, Ali Raza, B. C. Prasannakumara, Y. Dharmendar Reddy, M. Ijaz Khan
Summary: This article investigates the thermodynamic and fluid flow aspects of second-grade fluid with a porous medium using a fractional model. The study also considers mixed convection and an inclined directional magnetic force. Convective thermal constraints are applied to assess heat transfer properties. The flow is induced by the porous medium in the vertical direction. Two fractional approaches, the Caputo-Fabrizio (CF) and Caputo-time algorithms, are used for analytical computations. The Laplace technique facilitates integration, while Stehfest and Tzou's techniques are employed for Laplace inverse transformation. The impact of physical parameters on velocity and temperature profiles is analyzed, showing that non-singular parameters lead to a decrease in these profiles, with the Caputo-time model exhibiting a higher degree of decrement.
WAVES IN RANDOM AND COMPLEX MEDIA
(2023)
Article
Mathematics
R. S. Varun Kumar, M. D. Alsulami, I. E. Sarris, B. C. Prasannakumara, Saurabh Rana
Summary: This article focuses on the transient thermal dispersal within a moving plate using the non-Fourier heat flux model. An innovative artificial neural network strategy with the Levenberg-Marquardt backpropagation scheme is proposed for determining the transient temperature. The energy model is simplified into a non-dimensional form, and the partial differential equation is numerically solved using the finite difference method.
Article
Mathematics
M. D. Alsulami, Amal Abdulrahman, R. Naveen Kumar, R. J. Punith Gowda, B. C. Prasannakumara
Summary: The current study investigates the swirling flow of a titania-ethylene glycol-based nanofluid over a stretchable cylinder with torsional motion, considering heat source/sink. The research utilizes a titania-ethylene glycol-water-based nanofluid and examines the impact of nanoparticle aggregation on thermal conductivity. A mathematical model based on PDEs is developed and solved using the finite element method. The study demonstrates that nanoparticle aggregation significantly enhances the temperature field and reveals the effects of Reynolds number and heat source/sink parameter on heat transport rate. Swirling flows are widely observed in various industrial processes and understanding nanofluid behavior in these flows can contribute to the development of more efficient industrial processes.
Article
Thermodynamics
R. S. Varun Kumar, R. Naveen Kumar, Samia Ben Ahmed, J. Madhu, Anjali Verma, R. J. Punith Gowda
Summary: The purpose of this research is to investigate the impact of heat source or sink on the unsteady three-dimensional flow of ternary-hybrid nanofluid through a rotating disk. The study also discusses the magnetohydrodynamic flow of ternary-hybrid nanofluid under the influence of radiative heat transfer and uniform suction. Numerical solutions are obtained using the Runge-Kutta Fehlberg method, and the effects of various nondimensional parameters on velocity and thermal profiles are illustrated using graphs. A neural network model is employed to determine the Nusselt number and skin friction, and the results show that it is a reliable tool for estimating heat transfer and surface drag force models.
NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS
(2023)
Article
Physics, Multidisciplinary
J. Madhu, Jamel Baili, R. Naveen Kumar, B. C. Prasannakumara, R. J. Punith Gowda
Summary: This paper investigates the three-dimensional flow of an Oldroyd-B liquid with the impact of a magnetic dipole caused by stretching a flat surface placed in the plane and containing motile gyrotactic microorganisms. The efficiency of the suggested backpropagated neural networks methodology is demonstrated by analyzing heat transport, mass transport, and micro-organism's density profile.
Article
Mathematics
Pudhari Srilatha, Hanaa Abu-Zinadah, Ravikumar Shashikala Varun Kumar, M. D. Alsulami, Rangaswamy Naveen Kumar, Amal Abdulrahman, Ramanahalli Jayadevamurthy Punith Gowda
Summary: This study examines the time-dependent Maxwell nanofluid flow with thermophoretic particle deposition, taking into account the solid-liquid interfacial layer and nanoparticle diameter. The governing partial differential equations are simplified to ordinary differential equations using suitable similarity transformations. These reduced equations are then solved using the Runge-Kutta-Fehlberg method, and an artificial neural network is used as a surrogate model to predict nanofluid flow behavior. The results show the impact of dimensionless parameters on flow, heat, and mass transport, with changes in velocity, temperature, and concentration profiles.
Article
Chemistry, Multidisciplinary
Pudhari Srilatha, J. Madhu, Umair Khan, R. Naveen Kumar, R. J. Punith Gowda, Samia Ben Ahmed, Raman Kumar
Summary: This study investigates the flow and heat transfer characteristics of Maxwell nanofluid on a rotating rough disk under the influence of a magnetic field. Numerical methods are used to analyze the effects of different parameters on fluid flow and temperature distribution. Additionally, artificial neural networks are employed to calculate the rate of heat transfer and surface drag force, and their predictive capabilities are validated.
NANOSCALE ADVANCES
(2023)