| نویسندگان | Seyed Ali Mirbozorgi,,, |
| نشریه | International Journal for Multiscale Computational Engineering |
| شماره صفحات | 75-99 |
| شماره سریال | 23 |
| شماره مجلد | 5 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2025 |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | ISI،JCR،Scopus |
چکیده مقاله
One of the key challenges in fluid mechanics is analyzing fluid flow around moving bodies. Traditional methods like
computational fluid dynamics (CFD) require mesh generation around the body, which is especially time-consuming
and tedious for moving objects. This paper presents a comprehensive investigation into the fluid flow behavior around a
moving body across four distinct geometries. The Navier–Stokes equations were solved using the finite volume method
and the semi-implicit method for pressure-linked equations algorithm, allowing seamless coupling of velocity and
pressure fields. Additionally, the immersed boundary method (IBM) was employed to accurately represent the moving
body within the fluid domain. The study began by verifying the flow between two parallel planes using three motion
drives: mass-driven, pressure-driven, and body force–driven. Numerical simulations were conducted to verify the flow
between two parallel planes using various motion drives, and stationary body simulations were performed at Reynolds
numbers 20 and 40. Three different IBM approaches—feedback forcing, direct forcing, and the implicit velocity correction
method—were employed. Four key scenarios were investigated: the free fall of an object within a vertical water-filled
enclosure under gravity, the rotational motion of a rigid body within the fluid at a constant angular velocity, the linear
motion of a rigid body with a user-controlled constant velocity, and the constrained movement of a rigid body within an
enclosed fluid. The simulations, executed on a computer with a 3 GHz CPU and 16 GB RAM, each took approximately
10 hours. In contrast, utilizing the boundary fitting method (BFM) requires additional time to generate the mesh at each
time step, thereby increasing the overall computation time. This research underscores the advantages of IBM over BFM
in studying fluid–object interactions. By eliminating the need for gridding around the object, IBM achieves notably
faster run times than conventional CFD and BFM methods, especially when analyzing flow around moving bodies. The
proposed approach proves effective in solving flow dynamics around moving objects of arbitrary and complex shapes.
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