Exam Questions Flashcards

(50 cards)

1
Q

What are the different engineering approaches available to analuse a fluid problem and which approach is the most useful one?

A

Pure theory; pure experiment; CFD

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2
Q

What is CFD

A

Combination of Applied Maths, ComSci, Fluid Mechanics (Physcis).

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3
Q

5 steps of CFD analysis

UMN SP

A

Understand the physics

Mathematical model

Numerical model

Solution

Post-processing

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4
Q

What are the physcial principles that can be used to analyse any fluid flow problem?

A

Conservation of mass

Conservation of energy

Conservation of momentum

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5
Q

What is a closed (analytical) solution of a set of equations?

A

A solution that is expressed explicity using mathematical functions and formulae.

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6
Q

What is the difference between a mathematical and numerical model?

A

Mathematical models are from physical principles to mathematical equations.

Numerical models are from mathematical equations to numerical/algebraic equations through use of a mesh.

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7
Q

Why is CFD considered a “compromise” between having, or not having, a solution of the Navier-Stokes equations?

A

CFD provides an approximate, numerical solution to equations that are too complex to solve analytically.

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8
Q

What is the difference between a Eulerian and Lagrangian approach when selecting a model of the flow?

A
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9
Q

What is the physical meaning of the total derivative when quantifying a change in a fluid variable such as temperature? In this context, what is the physical meaning of the local and convective derivatives?

A

Substantial derivative: physically the time rate of change following a moving fluid element

Local derivative: physically the time rate of change at a fixed point

Convective derivative: physically the time rate of change due to the movement of the fluid

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10
Q

What do the various terms in the continuity equation mean physically?

A
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11
Q
A

(a), (c) are correct ((b) is wrong because it is 2D and unsteady, (d) is wrong because it is incompressible)

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12
Q
A

(b) is correct ((a) is wrong because density is constant in the incompressible case, (c) is wrong because it is 2D, (d) is wrong because density is constant in the incompressible case)

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13
Q
A

(a), (b), (c) are correct ((d) wrong because density is constant in the incompressible case)

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14
Q
A

(b), (c), (d) are correct ((a) is wrong because it is steady)

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15
Q

What types of forces can act on a fluid element?

A

Body/Volume forces: act on the volumetric mass of the fluid element “at a distance”. Eg. gravitational, electric, magnetic.

Surface forces: act on the surface of the fluiod element. Two types: pressure and viscous (shear/normal) stress.

Pressure imposed by outside fluid surrounding the fluid element (“thermodynmic pressure” associated with particle collision at microscopic level).

Viscous imposed by outside fluid “tugging” or “pushing” on surface by means of friction.

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16
Q

Stokes’ hypothesis?

A

Relation between viscous stresses and velocity gradients.

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17
Q

In a fully developed flow within a straight cylinder with its axis along the x direction, is du/dx significant or not? Is du/dy significant or not?

A

du/dx = 0

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18
Q

Can you solve the Navier-Stokes equations analytically?

A

Only for a limited number of simple flow problems.

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19
Q

What does “flow is fully developed” mean?

A

du/dx = 0

Shape of velocity profile is constant

Flow is steady in terms of velocity distribution

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20
Q
A
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21
Q

Role of viscous/inertial in laminar and turbulent flow

A

Laminar: viscous forces are sufficient to eliminate effect of any deviation.

Turbulent: viscous forces are inadequate and inertial forces are dominant.

22
Q

What other factors influence turbulence other than inertial and viscous forces?

23
Q

What are the main features of turbulent flow?

DRLE

A

Diffusivity

Rotational

Large and small eddies

Energy dissipation

24
Q

What are the main differences between DNS, LES and RANS methods? What are the potential limitations when using empirical turbulence models as in RANS and LES?

A

DNS solves exact NS equations

LES solves filtered NS equations

RANS solves RANS equation

25
What is the Law of the Wall?
Average velocity of a turbulent flow at a certain point is proportional to the logarithm of the distance from that point to the wall or boundary of fluid region.
26
What are u and y plus and equations?
U+ represents the local velocity normalised by the wall shear. It tells you how fast the flow is moving at a given point relative to the shear-induced velocity scale near the wall.
27
What are the differences between Navier-Stokes and Reynolds Averaged Navier-Stokes equations (RANS)?
RANS equations include additional unknowns (Reynolds stresses) which need modelling. Uses averaged velocity.
28
What do we mean by linear and non-linear terms in the momentum equations?
Order of magnitude of a variable is greater than 1. Doesn't include ordered derivatives.
29
Where do the Reynolds stresses come from?
Non-linear convection terms
30
What is Boussinesq hypothesis?
31
What is eddy viscosity based on?
Analogy between viscous and turbulent stresses.
32
Can you describe how each term of the k-equation is treated in turbulence models (i.e., modelled or in exact form)? Also their meanings.
∂k/∂t - exact - time change Uj(∂k/∂xj) - exact - advection Pk - modelled - production by shear Epsilon - modelled - dissipation by viscosity ∂/∂xj[(v+(vt/σk))∂k/∂xj] - spread of turbulence
33
Meaning of each term in epsilon equation
34
In theory, one can develop a turbulence model based on any two turbulence variables. Can you write down the expression of eddy viscosity based on k and tau, and the latter is a turbulence time scale?
35
Can you describe the general ideas about how model constants are determined using a couple of sentences?
They are tuned using various typical flows. Using simple flows, where equations will have fewer terms so only one or two constants appear in the equation, which can be tuned to experimental data.
36
8. Calculate eddy viscosity for the pipe flow using the DNS dataset provided.
37
38
What are the differences between eddy viscosity turbulence models and Reynolds stress models?
Eddy viscosity models use 1-2 governing equations; Reynolds use 6 stress equations. EVMs are simpler, more efficient, and work well for many practical flows. RSMs are more complete and accurate, especially for complex turbulent behaviour. Higher complexity and computational power.
39
Compare k-omega and k-epsilon
epsilon - dissipation rate of turbulent kinetic energy omega - specific dissipation rate (per unit of turbulent kinetic energy)
40
What are the reasons that RSMs are not widely used?
Computationally expensive Tough to converge
41
Wall function vs wall resolved y+
function y+>30 resolved y+ < 1
42
Difference between enhanced wall treatment and standards, non-equilibrium wall functions
EWT: combines a two-layer model with an enhanced wall function EWT: first node placed anywhere in theory
43
4. Why are low-Reynolds number turbulence models not necessarily for flows of low Reynolds number?
Low-Re models are for wall-resolved modelling, not necessarily low-Re models
44
What is the requirement on the mesh when the Enhanced Wall Treatment of FLUENT is used?
1 < Y+ < 30
45
What is a truncation error?
Arises because we truncate (cut off) a Taylor series expansion.
46
What is the order of accuracy?
How fast numerical error decreases with mesh refinement. A method is said to be n-th order accurate. 2nd order: halving grid size reduces error by factor of 4, etc...
47
Why is interpolation needed in the context of the FVM?
48
What is the advantage of the first order upwind scheme?
It's always bounded.
49
What does boundedness mean?
Values preducted by the scheme should be within realistic/physcial bounds
50
Compare finite difference and finite volume methods?
FD most basic: Taylor series used to dicretise PDEs, allows schemes of higher orders of accuracy readily developed. Easy to apply for simple flow geometry, using structured mesh. Conservation not guarenteed. FV: flow domain divided into large number of small control volumes of any shape. PDEs then integrated over these CVs, before discretisation. Suitable for complex geometries using structured or unstructured mesh.