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Ahmad H, Guedri K, Ahmad S, Ali K, Atta G, Hussain SM, Bayram M, Abd-Elmonem A. Numerical and machine learning based evaluation of ethylene glycol based hybrid nano-structured (TiO 2-SWCNTs) fluid flow. Sci Rep 2025; 15:6084. [PMID: 39971987 PMCID: PMC11840152 DOI: 10.1038/s41598-025-88789-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 01/30/2025] [Indexed: 02/21/2025] Open
Abstract
A better mechanical resistance and improved thermal conductivity, as compared to mono nano-liquids, can be attained by the ethylene glycol-based hybrid nanofluids. These fluids have substantial uses in several engineering systems. The main focus, in the recent work, is to assess the dynamics of the ethylene glycol-based hybrid nano-structured fluid via the computational fluid dynamics (CFD) and machine learning (ML) approaches. The nano-composition of single-walled carbon nanotubes (SWCNTs) and titanium dioxide (TiO2) in the ethylene glycol causes the hybrid mixture SWCNTs-TiO2/EG. A CFD model, for the simulation procedure, is developed by incorporating the similarity coordinates to the governing partial differential equations. This model comprises of a dimensionless system having prime parameters of the problem. The numerical results are appraised by means of a comparison between the present and the existing results. The levenberg marquardt (LM) technique is a powerful tool to predict the flow and thermal properties. The complex correlations between the input parameters and fluid flow properties can be interpreted with the help of CFD as well as LM neural network. The results of this work might provide a basis for the design and development of high-performance heat exchangers and thermal management systems.
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Affiliation(s)
- Hijaz Ahmad
- Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, 99138, Nicosia, Turkey
- Department of Mathematics, College of Science, Korea University, 145 Anam-ro, Seongbuk-gu, 02841, Seoul, South Korea
| | - Kamel Guedri
- Mechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, P. O. Box 5555, 21955, Makkah, Saudi Arabia
| | - Sohail Ahmad
- Department of Basic Sciences and Humanities, Muhammad Nawaz Sharif University of Engineering and Technology, Multan, 60000, Pakistan
| | - Kashif Ali
- Department of Basic Sciences and Humanities, Muhammad Nawaz Sharif University of Engineering and Technology, Multan, 60000, Pakistan
| | - Gulnaz Atta
- University of Education Lahore, DG Khan Campus, Dera Ghazi Khan, Pakistan
| | - Syed M Hussain
- Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, 99138, Nicosia, Turkey
| | - Mustafa Bayram
- Department of Computer Engineering, Biruni University, 34010, Istanbul, Turkey
| | - Assmaa Abd-Elmonem
- Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia.
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Mandal G, Pal D. Impact of gold and silver nanoparticles on the thermally radiating MHD slip blood flow within the stenotic artery using stability analysis and entropy optimisation. PRAMANA 2024; 98:157. [DOI: 10.1007/s12043-024-02840-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 07/20/2024] [Accepted: 08/13/2024] [Indexed: 01/03/2025]
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Karmakar P, Das S. EDL Induced Electro-magnetized Modified Hybrid Nano-blood Circulation in an Endoscopic Fatty Charged Arterial Indented Tract. Cardiovasc Eng Technol 2024; 15:171-198. [PMID: 38148470 DOI: 10.1007/s13239-023-00705-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 11/21/2023] [Indexed: 12/28/2023]
Abstract
PURPOSE The electrokinetic process for streaming fluids in magnetic environments is emerging due to its immense applications in medical and biochemical industrial domains. In this context, our proposed model seeks to inquire into the hemodynamic characteristics of electro-magnetized blood blended with trihybrid nanoparticles circulation induced by electro-osmotic forces in an endoscopic charged arterial annular indented tract. This steaming model also invokes the consequences of variable Lorentz attractive force, buoyancy force, heat source, viscous and Joule warming, arterial wall properties, and sliding phenomena for featuring more realistic problems in blood flows. Different shapes of suspended trihybrid nanoparticles, such as spheres, bricks, cylinders, and platelets, are included in the model formation. Electro-magnetized modified hybrid nano-blood is an electro-conductive solution comprising blood as base fluid and magnetized trihybrid nanoparticles (copper, gold, and alumina). METHODS Closed-form solution in terms of Bessel's functions is gotten for electro-osmotic potential due to the electric double layer (EDL). The homotopy perturbation methodology is implemented in order to track down the convergent series solutions of non-linear coupled flow equations being elicited. The physical attributes of distinct evolving parameters on the different dimensionless hemodynamic profiles and quantities of interest are elucidated evocatively via a sort of graphs and charts. RESULTS The ancillary outcomes proved that the Debye-Hückel parameter and Helmholtz-Smoluchowski velocity have a dual impact on the ionized bloodstream. The bloodstream rapidity is alleviated/boosted for the assisting/opposing electroosmosis process. Cooling of ionized blood in the endoscopic arterial conduit is achieved with lower Hartmann numbers. Copper-gold-alumina/blood exhibits a superior heat transmission rate across the arterial wall than copper-gold-blood, copper-blood, and pure blood. Additionally, the contour topology for the bloodstream in the flow domain is briefly elaborated. The contour distribution is significantly amended due to the variant of the Debye-Hückel parameter. CONCLUSION The model's new findings may be invaluable in electro-magneto-endoscopic operation, electro-magneto-treatment for cancer, surgical process, etc.
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Affiliation(s)
- Poly Karmakar
- Department of Mathematics, University of Gour Banga, Malda, 732 103, India
| | - Sanatan Das
- Department of Mathematics, University of Gour Banga, Malda, 732 103, India.
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Sharma BK, Khanduri U, Mishra NK, Albaijan I, Pérez LM. Entropy generation optimization for the electroosmotic MHD fluid flow over the curved stenosis artery in the presence of thrombosis. Sci Rep 2023; 13:15441. [PMID: 37723188 PMCID: PMC10507105 DOI: 10.1038/s41598-023-42540-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/12/2023] [Indexed: 09/20/2023] Open
Abstract
The present study deals with the entropy generation analysis on the flow of an electrically conductive fluid (Blood) with [Formula: see text]-suspended nanoparticles through the irregular stenosed artery with thrombosis on the catheter. The fluid flow can be actuated by the interactions of different physical phenomena like electroosmosis, radiation, Joule heating and a uniform radial magnetic field. The analysis of different shapes and sizes of the nanoparticle is considered by taking the Crocine model. The velocity, temperature, and concentration distributions are computed using the Crank-Nicholson method within the framework of the Debye-Huckel linearization approximation. In order to see how blood flow changes in response to different parameters, the velocity contour is calculated. The aluminium oxide nanoparticles employed in this research have several potential uses in biomedicine and biosensing. The surface's stability, biocompatibility, and reactivity may be enhanced by surface engineering, making the material effective for deoxyribonucleic acid sensing. It may be deduced that the velocity profile reduces as the nanoparticle's size grows while depicts the reverse trend for the shape size. In a region close to the walls, the entropy profile decreases, while in the region in the middle, it rises as the magnetic field parameter rises. The present endeavour can be beneficial in biomedical sciences in designing better biomedical devices and gaining insight into the hemodynamic flow for treatment modalities.
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Affiliation(s)
- Bhupendra K Sharma
- Department of Mathematics, Birla Institute of Technology and Science Pilani, Rajasthan, India.
| | - Umesh Khanduri
- Department of Mathematics, Birla Institute of Technology and Science Pilani, Rajasthan, India
| | - Nidhish K Mishra
- Department of Basic Science, College of Science and Theoretical Studies Saudi Electronic University, Riyadh, Saudi Arabia
| | - Ibrahim Albaijan
- Mechanical Engineering Department, College of Engineering at Al Kharj, Prince Sattam Bin Abdulaziz University, Al Kharj, 16273, Saudi Arabia
| | - Laura M Pérez
- Departamento de Física, FACI, Universidad de Tarapacá, Casilla 7D, Arica, 1000000, Chile
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Dolui S, Bhaumik B, De S. Combined effect of induced magnetic field and thermal radiation on ternary hybrid nanofluid flow through an inclined catheterized artery with multiple stenosis. Chem Phys Lett 2022. [DOI: 10.1016/j.cplett.2022.140209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Tripathi J, Vasu B, Subba Reddy Gorla R, Chamkha AJ, Murthy PVSN, Anwar Bég O. Blood Flow Mediated Hybrid Nanoparticles in Human Arterial System: Recent Research, Development and Applications. JOURNAL OF NANOFLUIDS 2021. [DOI: 10.1166/jon.2021.1769] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Blood flow dynamics contributes an elemental part in the formation and expansion of cardiovascular diseases in human body. Computational simulation of blood flow in the human arterial system has been widely used in recent decades for better understanding the symptomatic spectrum of
various diseases, in order to improve already existing or develop new therapeutic techniques. The characteristics of the blood flow in an artery can be changed significantly by arterial diseases, such as aneurysms and stenoses. The progress of atherosclerosis or stenosis in a blood vessel
is quite common which may be caused due to the addition of lipids in the arterial wall. Nanofluid is a colloidal mixture of nanometer sized (which ranges from 10–100 m) metallic and non-metallic particles in conventional fluid (such as water, oil). The delivery of nanoparticles is an
interesting and growing field in the development of diagnostics and remedies for blood flow complications. An enhancement of nano-drug delivery performance in biological systems, nanoparticles properties such as size, shape and surface characteristics can be regulated. Nanoparticle offers
remarkably advantages over the traditional drug delivery in terms of high specificity, high stability, high drug carrying capacity, ability for controlled release. Highly dependency has been found for their behavior under blood flow while checking for their ability to target and penetrate
tissues from the blood. In the field of nano-medicine, organic (including polymeric micelles and vesicles, liposomes) and inorganic (gold and mesoporous silica, copper) nanoparticles have been broadly studied as particular carriers because as drug delivery systems they delivered a surprising
achievement as a result of their biocompatibility with tissue and cells, their subcellular size, decreased toxicity and sustained release properties. For the extension of nanofluids research, the researchers have also tried to use hybrid nanofluid recently, which is synthesized by suspending
dissimilar nanoparticles either in mixture or composite form. The main idea behind using the hybrid nanofluid is to further improve the heat transfer and pressure drop characteristics. Nanoparticles are helpful as drug carriers to minimize the effects of resistance impedance to blood flow
or coagulation factors due to stenosis. Discussed various robust approaches have been employed for the nanoparticle transport through blood in arterial system. The main objective of the paper is to provide a comprehensive review of computational simulations of blood flow containing hybrid-nanoparticles
as drug carriers in the arterial system of the human body. The recent developments and analysis of convective flow of particle-fluid suspension models for the axi-symmetric arterial bodies in hemodynamics are summarized. Detailed existing mathematical models for simulating blood flow with
nanoparticles in stenotic regions are reviewed. The review focuses on selected numerical simulations of physiological convective flows under various stenosis approximations and computation of the temperature, velocity, resistance impedance to flow, wall shear stress and the pressure gradient
with the corresponding boundary conditions. The current review also highlights that the drug carrier nanoparticles are efficient mechanisms for reducing hemodynamics of stenosis and could be helpful for other biomedical applications. The review considers flows through various stenoses and
the significances of numerical fluid mechanics in clinical medicine. The review examines nano-drug delivery systems, nanoparticles and describes recent computational simulations of nano-pharmacodynamics.
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Affiliation(s)
- Jayati Tripathi
- Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, U.P., India
| | - B. Vasu
- Department of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, U.P., India
| | - Rama Subba Reddy Gorla
- Department of Aeronautics and Astronautics, Air Force Institute of Technology, Wright Patterson Air Force Base, Dayton, Ohio, 45433, USA
| | - Ali J. Chamkha
- Faculty of Engineering, Kuwait College of Science and Technology, Doha District, 35004, Kuwait
| | - P. V. S. N. Murthy
- Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
| | - O. Anwar Bég
- Department of Mechanical and Aeronautical Engineering, Salford University, Salford, M54WT, UK
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Changdar S, Saha S, De S. A smart model for prediction of viscosity of nanofluids using deep learning. SMART SCIENCE 2020. [DOI: 10.1080/23080477.2020.1842673] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Satyasaran Changdar
- Department of Information Technology, Institute of Engineering & Management, Kolkata, India
| | - Susmita Saha
- Department of Applied Mathematics, University of Calcutta, Kolkata, India
| | - Soumen De
- Department of Applied Mathematics, University of Calcutta, Kolkata, India
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