Comparative analysis of the flow of the hybrid nanofluid stagnation point on the slippery surface by the CVFEM approach

Gul, Taza; Alharbi, Sayer Obaid; Khan, Ilyas; Khan, M. Shakir; Alzahrani, Saleh H

doi:10.1016/j.aej.2023.06.025

Cited by 10 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the recent scenario, the flow of HNFs among the gap of two cylinders is focused on solving through CVFEM. In this method, the domain is divided into smaller control volumes, and the conservation equations for momentum, and energy are solved in each volume (Mukhtar and Gul, 2023; Reddy, 2019; Gul et al. , 2023a, b; Bakir and Mert, 2022).…”

Section: Solution Methodologiesmentioning

confidence: 99%

“…Novelty of the problem: The proposed model is the pioneering idea to consider for drug delivery applications and this model has not been used by researchers for drug delivery applications.The blood has been used with titanium dioxide ( TiO 2 ) and silver ( Ag ) nanoparticles to work as drug delivery agents and again this idea is new for the proposed model.The magnetic field and electric field combination also works in terms of the magnetic particle adjustment that is helpful in drug delivery to target the affected area.The combination of the CVFEM (Mukhtar and Gul, 2023; Reddy, 2019; Gul et al. , 2023a, b; Bakir and Mert, 2022) technique, RK-4 scheme (Rasheed et al.…”

Section: Introductionmentioning

confidence: 99%

“…The combination of the CVFEM (Mukhtar and Gul, 2023; Reddy, 2019; Gul et al. , 2023a, b; Bakir and Mert, 2022) technique, RK-4 scheme (Rasheed et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative analysis of the electromagnetic hybrid nanofluid flow within the gap of two tubes using deep learning neural networks

Amin,

Awwad,

Ismail

et al. 2024

MMMS

Self Cite

View full text Add to dashboard Cite

Purpose(1) A mathematical model for the Hybrid nanofluids flow is used as carriers for delivering drugs. (2) The flow conditions are controlled to enable drug-loaded nanofluids to flow through the smaller gap between the two tubes. (3) Hybrid nanofluids (HNFs) made from silver (Ag) and titanium dioxide (TiO2) nanoparticles are analyzed for applications of drug delivery. (Ag) and (TiO2) (NPs) are suitable candidates for cancer treatment due to their excellent biocompatibility, high photoactivity, and low toxicity. (4) The new strategy of artificial neural networks (ANN) is used which is machine-based and more prominent in validation, and comparison with other techniques.Design/methodology/approachThe two Tubes are settled in such a manner that the gap between them is uniform. The Control Volume Finite Element Method; Rk-4 and Artificial Neural Network (ANN).Findings(1) From the obtained results it is observed that the dispersion and distribution of drug-loaded nanoparticles within the body will be improved by the convective motion caused by hybrid nanofluids. The effectiveness and uniformity of drug delivery to target tissues or organs is improved based on the uniform flow and uniform gap. (2) The targeting efficiency of nanofluids is further improved with the addition of the magnetic field. (3) The size of the cylinders, and flow rate, are considered uniform to optimize the drug delivery.Research limitations/implications(1)The flow phenomena is considered laminar, one can use the same idea through a turbulent flow case. (2) The gap is considered uniform and will be interesting if someone extends the idea as non-uniform.Practical implications(1) To deliver drugs to the targeted area, a suitable mathematical model is required. (2) The analysis of hybrid nanofluids (HNFs) derived from silver (Ag) and titanium dioxide (TiO2) nanoparticles is conducted for the purpose of drug delivery. The biocompatibility, high photoactivity, and low toxicity of (Ag) and (TiO2) (NPs) make them ideal candidates for cancer treatment. (3) Machine-based artificial neural networks (ANN) have a new strategy that is more prominent in validation compared to other techniques.Social implicationsThe drug delivery model is a useful strategy for new researchers. (1) They can extend this idea using a non-uniform gap. (2) The flow is considered uniform, the new researchers can extend the idea using a turbulent case. (3) Other hybrid nanofluids flow, in the same model for other industrial usages are possible.Originality/valueAll the obtained results are new. The experimental thermophysical results are used from the existing literature and references are provided.

show abstract