MHD flow of time-fractional Casson nanofluid using generalized Fourier and Fick's laws over an inclined channel with applications of gold nanoparticles
Abstract:Gold nanoparticles are commonly used as a tracer in laboratories. They are biocompatible and can transport heat energy to tumor cells via a variety of clinical techniques. As cancer cells are tiny, properly sized nanoparticles were introduced into the circulation for invasion. As a result, gold nanoparticles are highly effective. Therefore, the current research investigates the magnetohydrodynamic free convection flow of Casson nanofluid in an inclined channel. The blood is considered as a base fluid, and gold… Show more
“…The obtained solutions are visually represented through the utilization of MATLAB software, and their characteristics are further scrutinized through an in-depth discussion. The analysis for velocity and temperature profiles are influenced by significant parameters on Casson fluid, porosity, magnetic field, nanoparticle volume fraction, and Prandtl number, which are varied within the range of 0.5 ≤ 𝛽 ≤ 2, 2 ≤ 𝐾 ≤ 8, 2 ≤ 𝑀 ≤ 8, 0.01 ≤ 𝜙 ≤ 0.04, and 1 ≤ Pr ≤ 6.2 [8,10,34]. All the computational in this study involves the dispersion of water based 𝐴𝑙 2 𝑂 3 and water based 𝑆𝑖𝑂 2 with their thermophysical characteristics is referred in Table 1.…”
The feature of having a surface that can stretch has garnered attention in numerous industrial and engineering fields because of its advantages. Nevertheless, most fluid mechanics simulations for stretchable surfaces have predominantly relied on numerical solutions, with a notable lack of theoretical investigations into this matter. Consequently, the current research aims to contribute a theoretical exploration of heat transfer and boundary layer flow for Casson nanofluid on a linearly stretching sheet, considering the existence of porosity and magnetic field effects. Two distinct types of water-based nanofluids containing aluminium oxide and silicon dioxide are examined. By employing similarity transformations, the governing momentum and energy equations undergo transformation and subsequent analytical resolution using Laplace transformations. The resulting solutions are graphically presented to examine the influence of key parameters on temperature and velocity distribution. The analysis indicates that heat transfer is improved by the inclusion of nanoparticles, porosity, and a magnetic field. However, the velocity distribution slows down as a result of higher nanoparticle volume fraction, porosity, and magnetic field imposition.
“…The obtained solutions are visually represented through the utilization of MATLAB software, and their characteristics are further scrutinized through an in-depth discussion. The analysis for velocity and temperature profiles are influenced by significant parameters on Casson fluid, porosity, magnetic field, nanoparticle volume fraction, and Prandtl number, which are varied within the range of 0.5 ≤ 𝛽 ≤ 2, 2 ≤ 𝐾 ≤ 8, 2 ≤ 𝑀 ≤ 8, 0.01 ≤ 𝜙 ≤ 0.04, and 1 ≤ Pr ≤ 6.2 [8,10,34]. All the computational in this study involves the dispersion of water based 𝐴𝑙 2 𝑂 3 and water based 𝑆𝑖𝑂 2 with their thermophysical characteristics is referred in Table 1.…”
The feature of having a surface that can stretch has garnered attention in numerous industrial and engineering fields because of its advantages. Nevertheless, most fluid mechanics simulations for stretchable surfaces have predominantly relied on numerical solutions, with a notable lack of theoretical investigations into this matter. Consequently, the current research aims to contribute a theoretical exploration of heat transfer and boundary layer flow for Casson nanofluid on a linearly stretching sheet, considering the existence of porosity and magnetic field effects. Two distinct types of water-based nanofluids containing aluminium oxide and silicon dioxide are examined. By employing similarity transformations, the governing momentum and energy equations undergo transformation and subsequent analytical resolution using Laplace transformations. The resulting solutions are graphically presented to examine the influence of key parameters on temperature and velocity distribution. The analysis indicates that heat transfer is improved by the inclusion of nanoparticles, porosity, and a magnetic field. However, the velocity distribution slows down as a result of higher nanoparticle volume fraction, porosity, and magnetic field imposition.
“…For t > 0, the left plate starts oscillations with velocity U 0 sin 𝜔t and the temperature of the left plate rises with Newtonian heating while the right plate is still stationary with surrounding temperature T a as given in Figure 1. By utilizing the Boussinseq's approximation [47] and Roseland approximations [48], the physical governing equations that govern the flow and partially coupled with the thermal field given as [30] 𝜌 hn𝑓 𝜕u 𝜕t…”
Section: Mathematical Formulation Of the Problemmentioning
confidence: 99%
“…By utilizing the Boussinseq's approximation [47] and Roseland approximations [48], the physical governing equations that govern the flow and partially coupled with the thermal field given as [30] …”
Section: Mathematical Formulation Of the Problemmentioning
confidence: 99%
“…For instance, Ramzan et al [29] studied the mixed convective fluid flow of Casson fluid through an inclined plate with chemical reaction and thermal radiation along a perpendicular magnetic field. Shah et al [30] examined the Casson fluid flow between two parallel plates through fractional derivatives of singular power law kernel with the use of gold nanoparticles. Dash et al [31] analyzed the Casson fluid flow through a pipe which is filled with porous material by considering blood as a base fluid.…”
Fractional calculus expands the idea of differentiation to fractional/non‐integer orders of the derivatives. It includes the memory‐dependent and non‐local system's behaviors while fractal–fractional derivatives is the generalization of fractional‐order derivatives which refers to a combination of fractional calculus and fractal geometry. In this article, we have considered the magnetohydrodynamic (MHD) flow of Casson hybrid nanofluid through a vertical open channel with the effect of viscous dissipation and Newtonian heating. The problem is modeled in terms of non‐linear and coupled integer‐order PDEs which is further generalized through fractal–fractional derivative of power law kernel. Due to non‐linearity and complexities, we have adopted the numerical procedure as it is used when the analytical solutions of PDEs are frequently difficult or impossible for complicated situations. We have established the numerical algorithms for both the classical and fractal–fractional‐order model and compared the results. The existence and uniqueness of the model's solution has been shown theoretically. The effect of various embedded parameters on the heat transfer and fluid flow has been simulated and presented through various figures while skin friction and Nusselt number are tabulated. The effect of fractional and fractal parameter is also shown. As the present model is taken for the hybrid nanofluid flow and for the heat transfer applications, we have considered mineral transformer oil as a base fluid while titania and cadmium telluride nanoparticles are dispersed in it. From the results, it is observed that hybrid nanofluid have a better heat transfer enhancement up to 19.71% while the unitary nanofluids are only capable to enhance the heat transfer up to 9%.
“…Mu et al [12] investigated multi-attribute DM (MADM) relying on interval-valued Pythagorean FS. Researchers can expand the theory of FS, IvFS to various other theories such as [13][14][15][16].…”
In this study, we investigate a novel conception called complex interval-valued hesitant fuzzy set (CIvHFS) as the modification of some prevailing conceptions such as interval-valued complex fuzzy set (IvCFS) and interval-valued hesitant fuzzy set (IvHFS), to tickle the data or information which have intricate and haziness in the genuine life dilemmas. The CIvHFS carries the membership grade in the model of a finite subset of numerous interval values which contains in the unit disc of a complex plane. We also propound the operational laws of the investigated conception. Further, we establish certain vector similarity measures (VSMs) and weighted VSMs (WVSMs) in the setting of CIvHFS, including the Jaccard similarity measure (JSM), Dice similarity measure (DSM), and Cosine SM (CSM), et al. Along with this, we also investigate hybrid VSM and weighted hybrid VSM relying on the CIvHFS. Moreover, we present some CIvHFS generalized exponential and non-exponential based SMs. To portray the usefulness and advantages of the developed SMs in genuine life, we employ these SMs to solve pattern recognition and medical diagnosis. Finally, to assess the dependability and rationality of the developed SMs, we compare the investigated SMs with certain prevailing SMs.INDEX TERMS Complex interval-valued hesitant fuzzy set; similarity measures; pattern recognition; medical diagnosis.
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