Thermal insulation and blood flow dynamics in branched channels with silver-gold hybrid nanofluids: novel radial base ANN modeling

被引:3
作者
Khalid, Nouman [1 ]
Khan, Muhammad Imran [1 ]
Zeeshan, Ahmad [1 ,2 ]
Ijaz, Nouman [3 ]
Said, Yahia [4 ]
机构
[1] Int Islamic Univ, Fac Sci, Dept Math & Stat, Islamabad, Pakistan
[2] Korea Univ, Coll Sci, Dept Math, 145 Anam Ro, Seoul 02841, South Korea
[3] Punjab Grp Coll, Dept Math & Stat, GT Rd Jada, Jhelum 49600, Pakistan
[4] Northern Border Univ, Ctr Sci Res & Entrepreneurship, Ar Ar 73213, Saudi Arabia
关键词
Blood flow; Branched channel configurations; Heat transfer simulation; CFD (computational fluid dynamics); ANN (artificial neural network); SIMULATION; NANOPARTICLES; PREDICTION;
D O I
10.1007/s41939-025-00785-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main objective of the conducted research is to present an application of computational fluid dynamics simulation technique to investigate the numerical solution of hybrid nanofluid flow in branched channel carotid arteries configurations with blood as a base fluid. This study examines blood flow across three different branched channel arteries configurations: lateral bifurcation, T-bifurcation, and Y-bifurcation. The numerical treatment of momentum and thermal boundary layer is examined using computational fluid dynamics. The significance of bifurcation shape and hybrid nanoparticles' interaction on flow behavior and thermal performance are elaborated. The primary objective of computational fluid dynamics simulation with COMSOL is to demonstrate the variations in pressure and velocity profile due to blood flow in branched channel carotid arteries configurations. The artificial neural network algorithm is applied to obtain the predicted solution velocity and flow patterns. The comparison of the predicted solution with the artificial neural network algorithm and the numerical solution with COMSOL is provided. The graphical results demonstrate that T-bifurcation exhibits the maximum pressure and velocity, however, Y-bifurcation maintains the most efficient and consistent flow. This paper combines, in a unique way, ANNs with CFD simulations to obtain high accuracy of predictions in complex geometry velocity and patterns of flow has been validated against the results by using COMSOL. This bridge between machine learning and fluid dynamics, it provides valuable insights into optimizing channel shapes for enhanced flow efficiency. Future research would pursue turbulence modeling, pulsatile flow, and variations of Silver-Gold hybrid nanofluids, leading to higher heat transfer and lower resistance. Such discoveries possess great potential in biomedical applications. These range from cardiovascular drug delivery to surgical planning and diagnostic tools.
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页数:20
相关论文
共 48 条
[1]   COMSOL Multiphysics Simulation in Biomedical Engineering [J].
Adam, Tijjani ;
Hashim, U. .
NANOSCIENCE, NANOTECHNOLOGY AND NANOENGINEERING, 2014, 832 :511-516
[2]   Spacing effects on flows around two square cylinders in staggered arrangement via LBM [J].
Ali, Ahmed Refaie ;
Abbasi, Waqas Sarwar ;
Bibi, Bakhtawar ;
Rahman, Hamid ;
Ul Islam, Shams ;
Majeed, Afraz Hussain ;
Ahmad, Irshad .
SCIENTIFIC REPORTS, 2024, 14 (01)
[3]   Enhancing hydrodynamic forces through miniaturized control of square cylinders using the lattice Boltzmann method [J].
Ali, Ahmed Refaie ;
Abbasi, Waqas Sarwar ;
Younus, Rabia ;
Rahman, Hamid ;
Nadeem, Sumaira ;
Majeed, Afraz Hussain ;
Ahmad, Irshad .
SCIENTIFIC REPORTS, 2024, 14 (01)
[4]   Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing [J].
Asghar, Atif ;
Mahmood, Rashid ;
Majeed, Afraz Hussain ;
Alotaibi, Hammad ;
Ali, Ahmed Refaie .
AIP ADVANCES, 2024, 14 (12)
[5]   Computational study of endothelial-mediated vascular responses at Y-bifurcation: when occlusion does not reduce the total flow [J].
Avtomonov, Yuri N. ;
Stiukhina, Elena S. ;
Postnov, Dmitry E. .
SARATOV FALL MEETING 2018: COMPUTATIONS AND DATA ANALYSIS: FROM NANOSCALE TOOLS TO BRAIN FUNCTIONS, 2019, 11067
[6]   Recent progress in emerging hybrid nanomaterials towards the energy storage and heat transfer applications: A review [J].
Azim, M. K. Muhamad ;
Arifutzzaman, A. ;
Saidur, R. ;
Khandaker, M. U. ;
Bradley, D. A. .
JOURNAL OF MOLECULAR LIQUIDS, 2022, 360
[7]   Electro-osmotic transport and thermal energy dynamics of tetra-hybrid nano fluid in complex peristaltic flows [J].
Ben Khedher, Nidhal ;
Ijaz, Nouman ;
Medani, Mohamed ;
Barghout, Kamal ;
Abu-Libdeh, Nidal .
CASE STUDIES IN THERMAL ENGINEERING, 2024, 57
[8]   Numerical investigation of the non-Newtonian blood flow in a bifurcation model with a non-planar branch [J].
Chen, J ;
Lu, XY .
JOURNAL OF BIOMECHANICS, 2004, 37 (12) :1899-1911
[9]  
Choi S. U., 1995, Technical Report
[10]   Finite Element Modeling and simulation of arteries in the human arm to study the aortic pulse wave propagation [J].
Choudhari, Pranali ;
Panse, M. S. .
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS, 2016, 93 :721-727