2022
DOI: 10.48048/tis.2022.5693
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Mathematical Modeling of LDL-C and Blood Flow through an Inclined Channel with Heat in the Presence of Magnetic Field

Abstract: This investigation revealed that LDL-C and blood flow through an inclined channel with heat in the presence of magnetic field. In this study,mathematical models were formulated for LDL-C and blood flow and energy transfer as a coupled system of partial differential equations (PDEs), the PDEs were scaled using the dimensionless quantities to dimensionless partial differential equations, they are further reduced to an ordinary differential equations (ODEs) using the perturbation method involving the oscillatory … Show more

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Cited by 3 publications
(2 citation statements)
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“…Since the pressure is generated by the ventricular action and in the axial direction, in order to obtain the various profiles according to Kubugha and Amos [12], let us consider the equations ( 10)-( 13) to be in the following form: In order to reduce equations ( 10)-( 13) to an ordinary differential equation, we apply equation ( 14), which reduces them to: The corresponding boundary conditions are…”
Section: Energy Equationmentioning
confidence: 99%
“…Since the pressure is generated by the ventricular action and in the axial direction, in order to obtain the various profiles according to Kubugha and Amos [12], let us consider the equations ( 10)-( 13) to be in the following form: In order to reduce equations ( 10)-( 13) to an ordinary differential equation, we apply equation ( 14), which reduces them to: The corresponding boundary conditions are…”
Section: Energy Equationmentioning
confidence: 99%
“…The model analysis and results are presented graphically with the help of the software Mathematica. Kubugha and Amos [18] used a mathematical model to investigate LDL-C and blood flow through an inclined channel with heat in the presence of a magnetic field. In their research, mathematical models were formulated to represent LDL-C and blood flow and energy transfer as a coupled system of partial differential equations (PDEs).…”
Section: Introductionmentioning
confidence: 99%