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CFD
This post is a simple understanding of
CFD. Don’t skip anything and read the post fully.
CFD is said to be Computational Fluid
Dynamics. CFD comprises of fluid dynamics, physics and maths.
It is the computational representation
of fluid flow and numerical aspects of the given component.
Who can learn CFD?
The
person who is interested in understanding the fluid around environment effects
the pressure, velocity of any particular component and strong in fluid dynamics,
thermodynamics, and heat transfer.
Applications of CFD:
It
is mainly used in the following streams:
·
Aerospace analysis.
·
IC engine stimulation.
·
Weather stimulation.
·
Marine design and offshore
analysis.
·
Medical fields.
·
Structural analysis (construction
of buildings, dams etc.)
·
Refrigeration and
airconditioning.
Job roles in CFD:
·
CFD Analyst/ CFD Engineer (Meshing
& Solver roles).
·
CFD Software developer.
CFD tools:
Some
of the common CFD tools are ANSYS fluid, Star CCM+, Converge. The high level
way or tools used for governing problems are MATLAB & Python.
Why CFD is very important?
CFD
is the very cheap stimulation method compare to other method. It is the most
important technique to stimulate fluid flows using a computer and analyse data
structures of the model. It helps for undergoing research and further
understanding the surface boundary conditions. More complex equations can be
solved by CFD accurately by using super computers with high speed.
The
companies perform more experiments and validate the design and analyse the test
results.
But
the disadvantage of CFD is, the obtained result can be 70% accurate.
Important equations in CFD:
Special
equation Navier–Stokes can be solved easily.
NavierStokes
equation for Conservation of Momentum for a fluid element is expressed below:
Continuity: ∂ρ/∂t+∂ (ρu)/∂x+∂ (ρv)/∂y+∂ (ρw)/∂z
=0
XMomentum:
∂(ρu)/∂t+∂(ρu^2)/∂x+∂(ρuv)/∂y+∂(ρuw)/∂z =−∂p/∂x+∂/∂x(𝜆 𝛥 ·𝑉⃗ +2𝜇 𝜕𝑢/𝜕𝑥)+∂/∂y[μ(∂v/∂x+∂u/∂y)]+∂/∂z[μ(∂u/∂z+∂w/∂x)]+ρfx
YMomentum:
∂(ρv)/∂t+ ∂(ρuv)/∂x+∂(ρv^2)∂y+∂(ρvw)/∂z =−∂p/∂y+∂/∂x[μ(𝜕𝑣/𝜕𝑥+∂u/∂y)]+∂∂y(𝜆 𝛥 ·𝑉⃗ +2𝜇∂v/∂y)+∂/∂z[μ(∂w/∂y+∂v/∂z)]+ρfy
ZMomentum:
∂(ρw)/∂t+ ∂(ρuw)/∂x+∂(ρvw)/∂y+∂(ρw^2)/∂z =−∂p/∂z+∂/∂x[μ(𝜕𝑢/𝜕𝑧+∂w/∂x)]+∂/∂y[μ(∂w/∂y+∂v/∂z)]+∂/∂z(𝜆 𝛥 ·𝑉⃗ +2𝜇∂w/∂z)+ρfz
Energy:
ρ𝐷/Dt(𝑒+𝑉^2/2)=ρq+∂/∂x(𝑘∂T/∂x)+∂/∂y(𝑘∂T/∂y)+∂/∂z(𝑘∂T/∂z)−∂(up)/∂x−∂(vp)/∂y−∂(wp)/∂z+∂(uτxx)/∂x+ ∂(uτyx)/∂y+∂(uτzx)/∂z+∂(vτxy)/∂x+∂(vτyy)/∂y+∂(vτzy)/∂z+ ∂(wτxz)/∂x+∂(wτyz)/∂y+∂(wτzz)/∂z+ρ𝑓 ·V
These
equations are set of partial differential equations coupled and nonlinear.These
equations are written in the form of matrix and the values for U,V,W,P and T
are obtained.
The above figure represents the solution
of NavierStokes equation by CFD method.
Guest blogger :
I'm harish, a mechanical engineer by profession and a blogger by passion.
CFD
This post is a simple understanding of
CFD. Don’t skip anything and read the post fully.
CFD is said to be Computational Fluid
Dynamics. CFD comprises of fluid dynamics, physics and maths.
It is the computational representation
of fluid flow and numerical aspects of the given component.
Who can learn CFD?
The
person who is interested in understanding the fluid around environment effects
the pressure, velocity of any particular component and strong in fluid dynamics,
thermodynamics, and heat transfer.
Applications of CFD:
It
is mainly used in the following streams:
·
Aerospace analysis.
·
IC engine stimulation.
·
Weather stimulation.
·
Marine design and offshore
analysis.
·
Medical fields.
·
Structural analysis (construction
of buildings, dams etc.)
·
Refrigeration and
airconditioning.
Job roles in CFD:
·
CFD Analyst/ CFD Engineer (Meshing
& Solver roles).
·
CFD Software developer.
CFD tools:
Some
of the common CFD tools are ANSYS fluid, Star CCM+, Converge. The high level
way or tools used for governing problems are MATLAB & Python.
Why CFD is very important?
CFD
is the very cheap stimulation method compare to other method. It is the most
important technique to stimulate fluid flows using a computer and analyse data
structures of the model. It helps for undergoing research and further
understanding the surface boundary conditions. More complex equations can be
solved by CFD accurately by using super computers with high speed.
The
companies perform more experiments and validate the design and analyse the test
results.
But
the disadvantage of CFD is, the obtained result can be 70% accurate.
Important equations in CFD:
Special
equation Navier–Stokes can be solved easily.
NavierStokes
equation for Conservation of Momentum for a fluid element is expressed below:
Continuity: ∂ρ/∂t+∂ (ρu)/∂x+∂ (ρv)/∂y+∂ (ρw)/∂z
=0
XMomentum:
∂(ρu)/∂t+∂(ρu^2)/∂x+∂(ρuv)/∂y+∂(ρuw)/∂z =−∂p/∂x+∂/∂x(𝜆 𝛥 ·𝑉⃗ +2𝜇 𝜕𝑢/𝜕𝑥)+∂/∂y[μ(∂v/∂x+∂u/∂y)]+∂/∂z[μ(∂u/∂z+∂w/∂x)]+ρfx
YMomentum:
∂(ρv)/∂t+ ∂(ρuv)/∂x+∂(ρv^2)∂y+∂(ρvw)/∂z =−∂p/∂y+∂/∂x[μ(𝜕𝑣/𝜕𝑥+∂u/∂y)]+∂∂y(𝜆 𝛥 ·𝑉⃗ +2𝜇∂v/∂y)+∂/∂z[μ(∂w/∂y+∂v/∂z)]+ρfy
ZMomentum:
∂(ρw)/∂t+ ∂(ρuw)/∂x+∂(ρvw)/∂y+∂(ρw^2)/∂z =−∂p/∂z+∂/∂x[μ(𝜕𝑢/𝜕𝑧+∂w/∂x)]+∂/∂y[μ(∂w/∂y+∂v/∂z)]+∂/∂z(𝜆 𝛥 ·𝑉⃗ +2𝜇∂w/∂z)+ρfz
Energy:
ρ𝐷/Dt(𝑒+𝑉^2/2)=ρq+∂/∂x(𝑘∂T/∂x)+∂/∂y(𝑘∂T/∂y)+∂/∂z(𝑘∂T/∂z)−∂(up)/∂x−∂(vp)/∂y−∂(wp)/∂z+∂(uτxx)/∂x+ ∂(uτyx)/∂y+∂(uτzx)/∂z+∂(vτxy)/∂x+∂(vτyy)/∂y+∂(vτzy)/∂z+ ∂(wτxz)/∂x+∂(wτyz)/∂y+∂(wτzz)/∂z+ρ𝑓 ·V
These
equations are set of partial differential equations coupled and nonlinear.These
equations are written in the form of matrix and the values for U,V,W,P and T
are obtained.
The above figure represents the solution
of NavierStokes equation by CFD method.
Guest blogger :
Recommended
2 comments
Good content harish
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