Fluid Mechanics Calculations - Fluid Velocity, Drag Force, Shear Stress

In summary: Plugging in the values, we get:u = 0.28 (1 - (0.02/150)^2) = 0.27999968 m/sSo the velocity at a distance of 0.02 mm from the wall is approximately 0.28 m/s.Problem #3:a) To find the shear velocity for the flow, we can use the formula:u_tau = u_max * sqrt(ν / (2 * ν * L))Where u_tau is the shear velocity, u_max is the maximum velocity (which we know is 6 m/s), ν is the kinematic viscosity, and L is the characteristic length (which is the diameter of the duct, or 30 cm).
  • #1
engineering11
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Fluid Mechanics IMP and URGENT

Can someone please help me solve these questions ASAP thnx

Problem #1
A fluid having a specific gravity of 0.6 and a viscosity of 0.00035 N∙s/m2 flows through a circular duct which is 300 mm in diameter. The average speed of fluid is 15 m/s. The duct is commercial steel. Find the velocity of the fluid at 6 mm from the wall and determine the drag force of the fluid on a 5 m length of the duct.
Problem #2
Flowing through a pipe of 30 cm diameter is 0.28 m3/s of water at 20 ◦C. The pipe is very smooth. Estimate the shear stress at the wall and the velocity at a distance of 0.02 mm from the wall.
Problem #3
Helium (ν = 1.3x 10-4 m2/s and ρ = 0.15 kg/ m3) is flowing through a 30 cm. diameter duct with an average velocity of 6 m/s. The velocity is measured to be 0.3 m/s at a distance 0.1 mm from the wall. It is known that this point is within the laminar sub-layer. Determine
a) shear velocity for the flow
b) shear stress at the wall
c) laminar sub-layer thickness
 
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  • #2


Sure, I can help you with these problems! Here are the solutions to each problem:

Problem #1:
a) To find the velocity of the fluid at 6 mm from the wall, we can use the formula for the velocity profile in a circular duct:

u = u_max (1 - (r/R)^2)

Where u is the velocity at a distance r from the center, u_max is the maximum velocity (which we know is 15 m/s), and R is the radius of the duct (which is half of the diameter, or 150 mm). Plugging in the values, we get:

u = 15 (1 - (6/150)^2) = 14.98 m/s

So the velocity at 6 mm from the wall is approximately 14.98 m/s.

b) To determine the drag force on a 5 m length of the duct, we can use the formula for drag force:

F = 0.5 * ρ * u^2 * A * C_D

Where ρ is the density of the fluid, u is the velocity, A is the cross-sectional area of the duct, and C_D is the drag coefficient (which we can assume to be 1 for a circular duct). Plugging in the values, we get:

F = 0.5 * 0.6 * 14.98^2 * π * (0.15)^2 * 5 * 1 = 21.27 N

So the drag force on a 5 m length of the duct is approximately 21.27 N.

Problem #2:
To estimate the shear stress at the wall, we can use the formula for shear stress in a pipe:

τ = 4 * μ * u / D

Where τ is the shear stress, μ is the fluid viscosity, u is the velocity, and D is the diameter of the pipe. Plugging in the values, we get:

τ = 4 * 0.00035 * 0.28 / 0.3 = 0.00131 N/m^2

So the shear stress at the wall is approximately 0.00131 N/m^2.

To find the velocity at a distance of 0.02 mm from the wall, we can use the same velocity profile formula as in Problem #1, but with a smaller radius (since we are now looking at a smaller distance from the wall).
 

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Fluid Mechanics IMP stands for "Incompressible Navier-Stokes Solver for Industrial Multiphase Problems". It is a computational fluid dynamics software package used for simulating fluid flow and heat transfer in industrial applications.

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Fluid Mechanics IMP uses the Navier-Stokes equations, which describe the motion of fluids, to calculate the flow of fluids in industrial systems. It takes into account factors such as fluid viscosity, density, and pressure to accurately simulate fluid behavior.

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Fluid Mechanics IMP is designed to solve incompressible fluid flow and heat transfer problems in industrial settings. This includes applications such as oil and gas pipelines, chemical reactors, and cooling systems.

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Fluid Mechanics IMP is useful for engineers and scientists working in the fields of fluid dynamics, heat transfer, and process engineering. It can also be helpful for industries such as oil and gas, chemical processing, and power generation to optimize their systems and improve efficiency.

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