simulation projects in se europe with ansys software tools

PRACE Autumn School 2013 - Industry Oriented HPC Simulations, September 21-27, University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana, Slovenia

Simulation Projects in SE Europe

with ANSYS Software Tools

Dimitrios Sofialidis

Technical Manager, SimTec Ltd.

Mechanical Engineer, PhD

26 Sep. 2013 1

• Simulation in SE Europe: History & Trends.

• Major Simulation Fields – Multiphysics.

• Categories of Simulations by Application Area.

• Presentation of SimTec Simulation Projects.

• Presentation of SimTec Customers Projects.

Presentation Outline

26 Sep. 2013 2

• When SimTec was established in 2001, only a few

companies in SE Europe were conducting simulation.

High cost (& for hardware) – many applications not solvable.

Not a "mature" tool in many areas.

"Research culture" & "evidence proof" not fully deployed.

Lack of a "reliable solution" in the region.

• SimTec is proud for being a pioneer for more than 10

successful years and helped in the creation of an

industrial community that uses simulation methods today

as a standard tool for the design and optimization of

products and processes.

Simulation in SE Europe – History

26 Sep. 2013 3

• SimTec has trained +300 (mostly) engineers in +50

seminars, for the ANSYS software packages.

Almost half of the trained continue today to use the software as

commercial or academic users, supported technically by SimTec on a

continuous basis.

Many were/are students, which had/will soon be recruited by companies

with research activities to employ mathematical modeling with ANSYS.

At SimTec itself, Dimitris Papas is employed for 4 years now; he was

trained in Fluent as a student originally in 2002.

Simulation in SE Europe – The People

26 Sep. 2013 4

• Today:

Few companies have introduced simulation in their daily routine.

A significant number of companies have used simulation services at

some certain time in the past.

A lot of companies have shown interest in acquiring a permanent or

occasional simulation solution, either in-house or out–sourced

(consulting service).

Almost all productive companies of the region recognize that today

simulation can offer a significant competitive advantage for products and

services of high value–to–cost ratio.

Simulation in SE Europe – Trends

26 Sep. 2013 5

• Industrial simulation in engineering is divided today in the

following major categories:

CSM (Computational Structural Mechanics) or more commonly as FEA

(Finite Element Analysis).

CFD (Computational Fluid Dynamics).

EMag (ElectroMagnetic) Analysis.

• Each field has various categories: E.g. some categories of CSM are: o Static linear/non–linear analysis.

o Transient analysis.

o Modal analysis.

o Harmonic analysis.

o Static or Transient Thermal analysis.

o Fatigue & failure analysis.

o Explicit analysis.

Major Simulation Fields

26 Sep. 2013 6

• The last years significant progress and application are

observed for simulations thatr cover more than one

physical areas (multiphysics). And this because of the:

Complexity of the real physical processes.

Available computing power.

• All ANSYS solvers and supporting tools are ported in the

same simualation environment: ANSYS Workbench.

Support of Multiphysics capabilities, between all available solvers.

ANSYS Workbench is parametric, and supports persistent modeling,

reproducibility and scalability.

Live parametric connection to all major CAD systems.

Statistical tools for automatic optimization.

Multiphysics

26 Sep. 2013 7

• Aerospace & Defense.

• Automotive.

• Power Generation & RES.

• Chemical and Process.

• Industrial Equipment.

• Consumer Goods.

• Turbomachinery.

• Food & Beverages.

• Pharmaceutical & Biomedical.

• Building Environment & Constructions.

• Electronics & Semiconductors.

• Electric Motors.

• Telecommunications.

• ………..

Categories of Simulations by Application Area

26 Sep. 2013 9

2005. INSTA Consultants & Engineers. Greece.

CFD Model for the Smoke Extraction System in the National Museum of Modern Art in

Athens.

2005. LDK Consultants & Engineers. Libya.

CFD Model of the Ventilation/Cooling of a Power Generation Engine Hall.

2008. LDK Consultants & Engineers. Greece.

CFD Simulation of the Ventilation of the Publicly–Used Spaces of a Mall in the City of

Ioannina.

2009–2011. AKTOR. Qatar.

CFD Simulation of the Ventilation & Air–Conditioning of the Heavy–Maintenance

Hangar Bay of the New Doha International Airport.

CFD Simulation of the Foam Spraying System of the Light–Maintenance Hangar Bay

Floor of the New Doha International Airport.

2011. J&P AVAX. Cyprus.

CFD Model of the Ventilation of the Steam Turbine Hall of Vassilikos Power Plant.

2011. MELAMIN. Slovenia.

CFD Simulation of the Mixing Process Inside a Batch Reactor.

2011. TERNA Energy. Greece.

Wind Power Production Evaluation in an Existing Wind Farm.

2012. ELPEN. Greece/Germany.

CFD Simulation of the Air Flow and Particle Tracks Inside Elpenhaler DPIs.

1. Finished Consulting Projects by SimTec

26 Sep. 2013 10

1a. Smoke Propagation in N.M.M.A.

26 Sep. 2013 11


• 7–storey old brewery. Six fire scenarios. Only public

spaces.

• Transient gases, heat and smoke release.

• Sprinkler activation and fire–suppression.

• Evacuation modeling through change of BCs.

• Pressurization modeling (temperature increase and

gases release).

• Modeling of the smoke extraction system (supply

and sucking of air from dedicated vents).

• Turbulent flow, temperature-dependent properties,

buoyant forces.

• Calculation of visibility, lethality due to poisonous

gases and heat stroke.

• Calculation of smoke propagation.

26 Sep. 2013 12


γραμμικό στόμιο

Δ.Ε.4

Δ.Ε.1

Ι.S.2

H.Ε.2

I.Ε.2

στόμια τύπου jet

γραμμικό στόμιο

Δ.Ε.4

Δ.Ε.1

Ι.S.2

H.Ε.2

I.Ε.2

στόμια τύπου jet

χαραμάδες

Ι.S.2

χαραμάδες

Ι.S.2

1 42 3

5 86 7

9 1410 11 12 13

15 2116 17 18 2019 25242322 2726 2928

30 3531 32 33 34 3736 3938

40 4541 42 43 44 4746

1 42 3

5 86 7

9 1410 11 12 13

15 2116 17 18 2019 25242322 2726 2928

30 3531 32 33 34 3736 3938

40 4541 42 43 44 4746

26 Sep. 2013 13


0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

0 200 400 600 800 1000

t [s]

Q(t

) [M

W]

εκλυόμενη

απορροφημένη από τα αέρια

-0.15

-0.10

-0.05

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0 200 400 600 800 1000

t [s]

Μα

ζικ

ή Π

αρ

αγ

ωγ

ή [

kg

/s]

τοξικά αέρια

αέρας

σύνολο

Stoichiometry (molar) CnHmOo ΔΗc [MJ/kg] - net (complete) AW [kg/kmol] N2-to-O2 molar ratio of air

C (n): 6 17.5 C: 12 3.76

H (m): 10 H: 1

O (o): 5 O: 16 CO--> CO2 [MJ/kmol]

N: 14 282.99

CO--> CO2 [MJ/kg]

% of C conversion to CO2 F (=CO/CO2 molar) MW [kg/kmol] 10.11

80 0.2500 CnHmOo 162

O2 32

N2 28

Reactants (molar) Reactants (mass) 1129.50 per 1 [kg] fuel Vol. Fract. Mass Fract. CO2 44

CnHmOo 1.25 CnHmOo 202.50 1.0000 - - CO 28

O2 6.75 O2 216.00 1.0667 0.2100 0.2330 H2O 18

N2 25.39 N2 711.00 3.5111 0.7900 0.7670

Products (molar) Products (mass) 1129.50 (yields)

CO2 6.00 CO2 264.00 1.3037 0.1533 0.2337

CO 1.50 CO 42.00 0.2074 0.0383 0.0372 "gases" PROPERTIES

H2O 6.25 H2O 112.50 0.5556 0.1597 0.0996 MW [kg/kmol] 40.80

N2 25.39 N2 711.00 3.5111 0.6487 0.6295

ΔΗc [MJ/kg_fuel] - net (incomplete)

15.4038

ΔΗc [MJ/kg_O2] - net (incomplete)

14.4410

CO yield [kgCO/kg_fuel]

0.2074

CO/gases [kgCO/kg_gases]

0.1373

"gases" yield [kg"gases"/kg_fuel]

1.5111

Fire Combustion Model

26 Sep. 2013 14


Air Average Space Temperature

23

25

27

29

31

33

35

37

39

41

43

0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750

χρόνος [s]

Θερ

μο

κρ

ασ

ία [

οC

]

IΣ

HM

1os

2os

3os

4os

0.000

0.005

0.010

0.015

0.020

0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750

χρόνος [s]

Συ

γκ

έντρ

ωσ

η [

kg

/m3

]

IΣ

HM

1os

2os

3os

4os

Average CO2 & CO Concentration

8000

9000

10000

11000

12000

13000

14000

15000

16000

17000

18000

0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750

χρόνος [s]

V [

m3

/h]

ΔE4

Air Flow at Exhaust Vents

23

25

27

29

31

33

35

37

39

41

0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750

χρόνος [s]

θ [

oC

]

IE2

HE2

ΔE1

ΔE4

Temperature at Exhaust Vents

23

25

27

29

31

33

35

37

39

41

0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750

χρόνος [s]

θ [

oC

]

IE2

HE2

ΔE1

ΔE4

Temperature at Exhaust VentsAir Temperature at Exhaust Vents

26 Sep. 2013 15


26 Sep. 2013 21

1b. CFD for the Ventilation of Public Spaces of a Mall

26 Sep. 2013 22

• Modes: A/C (summer) and Underfloor

Heating (winter).

• Calculation of heating/cooling loads for

the public spaces.

• Calculation of solar load at the model

envelope.

• Radiation modeling.

• Thermal loads from the shops, mall

entrances and visitors.

• Turbulent flow, temperature-dependent

properties, buoyant forces.

shop

shopcorridor

tend

2.2

[m]

3.5

[m]

6.0

[m]

7.5

[m]

4.2

[m]

5.0

[m]

0.2 [m]

door

girder

glass

roof slab & insulation

10 [m]


26 Sep. 2013 23

+1.0 [m] +1.5 [m]

[W/m2] Cooling Mode


26 Sep. 2013 24

+1.0 [m] +1.5 [m]

[W/m2]

Heating Mode


26 Sep. 2013 25

1c. CFD for Ventilation & A/C of HVH of NDIA

Dimensions:

Length=220 [m]

Width=120 [m]

Height=45 [m]

Volume

~1.1×106 [m3]

26 Sep. 2013 26

• Steady Thermal Conditions.

• Transient coolling of an Α380 aircraft

after hours under the desert sun.

• Thermal comfort conditions, sufficient

air penetration through the large height.

• Solar load calculation at the building

envelope (2.9 [MW]). Worst day/hour, air

temperature 46 οC.

• Radiation modeling.

• Heat released by Α380 (1.5 [MW]),

lighting, equipment, personnel (0.55

[MW]).




26 Sep. 2013 27

• Fabric ducts (D=2.1 [m]). Cooling air

106 [m3/h]. Recirculation air 1.8×106

[m3/h]. Entrainment air 0.15×106 [m3/h].

• Momentum sources to reproduce the

(measured by the duct manufacturer)

air velocities at various radial

distances.

• 4 large extract vents (return air to

AHUs).

• The Α380 was "naturally" modeled as

solid body with reference to the

individual properties (density, Cp,

thermal conductivity) of fuselage/wings

and engines.


26 Sep. 2013 28


26 Sep. 2013 29


26 Sep. 2013 30


26 Sep. 2013 31


26 Sep. 2013 32

1d. CFD of Floor Fire Suppression of HVH of NDIA

26 Sep. 2013 33

1e. CFD Model for Ventilation of Steam Turbine Hall

26 Sep. 2013 34

• Expansion of Phase III, in the same building

(PhaseIV).

• Confirmation of temperatures &

overpressure.

• Solar load calculation at the building

envelope.

• Specific weather conditions (38 οC).

• Heat release from equipment (turbines,

generators, etc.) of 307 [kW].

• Cool air supply from 24 nozzles at low

height, extraction by 14 roof fans and 9 free

vents at the floor level.




26 Sep. 2013 35


26 Sep. 2013 36


26 Sep. 2013 37


26 Sep. 2013 38

1f. CFD Analysis of a Batch Reactor

• Scale–Up of an existing reactor 10 [m3]

to one of 30 [m3].

• Evaluation of 3 alternative impellers for

faster mixing.

• Fluid injection into a water solution from

the top. Injection duration 20 [s].

• Free surface modeled as symmetry

plane. Injection modeled as mass and

momentum sources.

• Rotation speed 44 [rpm].

• Turbulent flow, mixture of 2 liquids

(equivalent to water).

• Simplification of the solution by 4

solution stages.

3 Blades in 90o Staggered

Configuration

26 Sep. 2013 39

Impeller #1 Impeller #2 Impeller #3

2.2M cells 2.1M cells 3.0M cells

26 Sep. 2013 40

Impeller #3


26 Sep. 2013 41

Impeller #1 Impeller #2

Impeller #3

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

0 50 100 150 200 250 300

Un

ifo

rmit

y

Time [s]

Max

Min

time [s] Min Uniformity Max Uniformity

20 0.0000 301.3778

40 0.2691 2.3427

60 0.8759 1.3261

80 0.9489 1.1261

100 0.9643 1.0281

120 0.9866 1.0063

140 0.9970 1.0014

160 0.9996 1.0008

180 0.9997 1.0004

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

2.2

0 50 100 150 200 250 300

Un

ifo

rmit

y

Time [s]

Max

Min

Torque 8.3 [Nm] Torque 8.0 [Nm]

Torque 6.6 [Nm]

C

)t(CC1)t(U

Uniformity


26 Sep. 2013 42

Impeller #1 Impeller #2 Impeller #3

Red: U=0.95 Green: U=0.97 Blue: U=1.00


26 Sep. 2013 43

1g. Power Assessment of an Operating Wind Farm.

• Operating farm with 18 W/T in operation.

• Available measurements at mast and power

production for 1 year.

• Domain radius=6000 [m], height=4000 [m]. Outer

radial extend=1500 [m].

• First cell at 2 [m], 1.42Μ cells. Automatic

refinement around the W/T.

• Division in 16 sectors (wind directions). Automatic

alignment of W/T with the wind.

• W/T modeled as negative momentum sources. W/T

shadowing effects included.

• Terrain roughness and forest model (porous

medium).

• Atmospheric boundary layer conditions at inlet,

zero or no thermal gradient.

26 Sep. 2013

Data collected at mast

Wind conditions predicted at WTG

Wind data transposition module

44

Transposition Method


26 Sep. 2013 45

• 64 automatically performed simulations (scripting) for 4 wind speeds (5, 10, 15

& 20 [m/s] at mast top height=60 [m]) and for 16 wind directions.

• Self–correlation of the mast measurements.

• W/T capacity factors were calculated, with reference to the predictions at the 4

mast heights, with statistical projection for the whole year of operation.

• The same procedure was performed without shadowing effect. The difference

of the two calculations is an estimate of the shadowing losses.

Wake Losses


26 Sep. 2013 46

• Annual and monthly averages for the wind speed at the W/T hub height.

• Annual averages of the capacity factors per wind direction for each W/T.

• Annual averages κfor each wind speed range of the turbulence intensity at the

W/T hub height.

• Wind speed, wind angle, turbulence intensity, shear factor at the W/T hub

height per wind direction and wind speed range

• Power in [kW] in 10 [min] intervals for each W/T for the whole year of operation.


26 Sep. 2013 47

WT1

Automatic Production of Graphs.


26 Sep. 2013 48

Contours of critical

terrain (>16.7o) along

the wind direction.

292ο


26 Sep. 2013 49

Contours of the shear

factor at the W/T hub

height, per wind

speed range and wind

direction.

270ο

15 [m/s]


26 Sep. 2013 50

Pathlines at W/T hub

height, per wind


direction.

247ο

10 [m/s]


26 Sep. 2013 51

Pathlines on the

ground , per wind


direction.

247ο

10 [m/s]


26 Sep. 2013 52

All graphs available on GoogleEarth!

247ο

10 [m/s]


26 Sep. 2013 53

1h. CFD Study of a Drag Inhaler (Elpenhaler)

“Mouthpiece"

"Base"

unused blisters storage

compartment (2 parts)

Double Blister

"Distributor"

"Diaphragm"

"Cone"

separator

CFD modelregion

26 Sep. 2013 54

• Confirmation of efficient operation.

• Further optimization.

• Underpressure from patient's inhaling.

• Turbulent, compressible air flow, which carries

the particles to the exit.

• Very small gaps, mesh of 7.7Μ cells.

• Steady conditions (assumption).

• Particle tracking without effect on the air flow

(uncoupled) for specific size distribution.


26 Sep. 2013 55

32.71[g/min]

33.05[g/min]

29.76[g/min]

65.76[g/min]

65.76[g/min]

5.00[g/min]

5.19[g/min]

25.81[g/min]


26 Sep. 2013 56

Turbulence

Intensity


26 Sep. 2013 57

Results for the

path and fate of

the particles.


26 Sep. 2013 58

Residual time of

particles vs

diameter


26 Sep. 2013 59


26 Sep. 2013 60

2α. Military Technical Institute of Serbia

26 Sep. 2013 61


Modeling the Aerodynamic Behavior of a High–Lift Airfoil (HLA)

AOA=10o

Ma=0.14

Flap

leading

edge gap

26 Sep. 2013 62


Static Pressure [Pa]

Stream Function [kg/s] Mach Number [–]

Static Temperature [K]

separation

26 Sep. 2013 63


Surface Pressure Coefficient Profiles

26 Sep. 2013 64

2a. Military Technical Institute of Serbia

Time–averaged contours from

the transient LES solution.

Static Pressure [Pa]

Velocity Magnitude [m/s]

Static Temperature [K]

26 Sep. 2013 65

2a. Military Technical Institute of Serbia

Static Pressure Stream Function

26 Sep. 2013 66

2b. Bulgarian Ship Hydrodynamics Center

26 Sep. 2013 67


Ι. Steady–State Sheet Cavitation over a 2D hydrofoil

Pressure

Coefficient

Cavity

Extent

26 Sep. 2013 68


ΙI. Flow about the ITTC Test Screw Propeller No.4119

Thrust & Torque

Coefficients

26 Sep. 2013 69


ΙII. Flow about a model 6000t cement carrier

Bow Stern

26 Sep. 2013 70


ΙV. Hydrodynamic Study of an UUV

26 Sep. 2013 71


V. Store Separation in Water

U=5 [m/s]

Vinit=10 [m/s]

U=5 [m/s]

Vinit=5 [m/s]

26 Sep. 2013 72

2c. Gorenje d.d.

26 Sep. 2013 73

I. Refrigerators – Freezers

2c. Gorenje d.d.

26 Sep. 2013 74


2c. Gorenje d.d.

• Target: to reduce the energy consumption for A+ class certification.

• 4 different configuration of evaporator channels were simulated.

• A prediction of 5% energy consumption for the best evaporator design was

confirmed by measurements in the prototype.

26 Sep. 2013 75


2c. Gorenje d.d.

• Initial design was exhibiting high temperatures on the surfaces around the

lamp.

• After simulating 3 different designs, the problem was solved.

26 Sep. 2013 76


2c. Gorenje d.d.

• The analysis target was to optimize the cold air recirculation in the

refrigerator.

• A few alternative designs were simulated in FLUENT.

• A prototype was constructed and measured.

• Good temperature control was achieved, as well as temperature stability

inside the refrigerator.

26 Sep. 2013 77

II. Cookers

2c. Gorenje d.d.

26 Sep. 2013 78

II. Cookers

2c. Gorenje d.d.

Path Lines Pressure Contours

Temperature (heater) Temperature (blades)

26 Sep. 2013 79

II. Cookers

2c. Gorenje d.d.

26 Sep. 2013 80

2d. EL.K.E.ME.

26 Sep. 2013 81

I. Modeling a Furnace for the Annealing of Aluminum Rolls

2d. EL.K.E.ME.

• Thermal power of 1.2 MW (12 direct U–tube burners).

• Convection heat transfer (N2 flow driven by 2 fans).

• 6 aluminum rolls of different diameter and sheet thickness.

• The burners operate in on/off mode (with pilot) and the fans in two speeds (low/high).

• Anisotropic thermal resistance and thermal conductivity, dependent on the sheet

thickness.

26 Sep. 2013 82

I. Modeling a Furnace for the Annealing of Aluminum Rolls

2d. EL.K.E.ME.

26 Sep. 2013 83

II. Modeling the Heating of a

Metal Slab

in a Furnace of Continuous Flow

III. Modeling of Continuous

Casting of Aluminum/Steel

(Melting/Solidification)

2d. EL.K.E.ME.

26 Sep. 2013 84

2e. HIDRIA d.d.

26 Sep. 2013 85

2e. HIDRIA d.d.

I. Modeling of Axial/Centrifugal Fans for A/C Units

26 Sep. 2013 86

2e. HIDRIA d.d.


0.5 [m]

0.5 [m]

• 1/7th modeled.

• 700k cells.

26 Sep. 2013 87

2e. HIDRIA d.d.


Pressure

26 Sep. 2013 88

2e. HIDRIA d.d.


0

5

10

15

20

25

30

35

40

45

50

0 5000 10000 15000 20000 25000

Flow Rate, Q [m3/h]

To

tal E

ffic

ien

cy [

%]

experiment

FLUENT

0

50

100

150

200

250

300

0 5000 10000 15000 20000 25000

Flow Rate, Q [m3/h]

Sta

tic P

ressu

re D

iffe

ren

ce

[Pa]

experiment

FLUENT

Total Efficiency

Static Pressure Rise

26 Sep. 2013 89

2e. HIDRIA d.d.

IΙ. HVAC Studies

26 Sep. 2013 92

2f. DANFOSS Trata d.o.o.

District Heating Equipment

26 Sep. 2013 93


District Heating Hydraulic Valve Modeling

• Calculation of flow rate, as a function of valve opening and differential pressure.

• Minimization of cavitation, noise and vibrations.

1.5M cells

26 Sep. 2013 94


District Heating Hydraulic Valve Modeling

Pressure Velocity

Magnitude

Turbulence

Intensity

26 Sep. 2013 100

2g. DOMEL d.o.o.

Dry

Vacuum

Motors

Wet

Vacuum

Motors

DC Motors

Commutator

Motors

Brushless

Pumps &

Fans

EC Drives

& Fans

26 Sep. 2013 101

2g. DOMEL d.o.o.

Ι. Dry Vacuum Motor CFD Model

600k cells

26 Sep. 2013 102

2g. DOMEL d.o.o.

Ι. Dry Vacuum Motor CFD Model

p [Pa]

ΤΙ [%]

Mach

26 Sep. 2013 103

2g. DOMEL d.o.o.

ΙI. Modeling Smooth (2D) and Twisted (3D) Impellers

2D, 1/9

0.6M cells

3D, 1/9

1.9M cells

26 Sep. 2013 104

2g. DOMEL d.o.o.

ΙI. Modeling Smooth (2D) and Twisted (3D) Impellers

3D

2D

Pressure Wall Shear Stress Temperature

26 Sep. 2013

2h. NV–FLUID d.o.o.

Fuel Tankers

Bitumen/Heavy Oil Tankers

Chemicals TankersLiquified Gases Tankers

Special Tankers

Aircraft Refuelers

106

26 Sep. 2013


107

Structural Analysis of a Road Tanker

patch

sides

ribs

ribs

ribs

sides

foot

foot

• Check for ADR2007 certification.

• Combination of loading conditions.

26 Sep. 2013


108


The following loading scenarios were solved:

I. Only the weight of the structure (19 [kN]) & fluid (110 [kN]).

II. Only the gas pressure (18 [bar]).

III. Weight of structure/fluid & gas pressure, i.e. W+P load.

IV. W+P load & accelerating with 2g.

V. W+P load & breaking with 2g.

VI. W+P load & turning with 1g.

VII. W+P load & dropping with 2g.

VIII. W+P load & rising with 1g.

IX. W+P load & accelerating by 2g & temperature 40oC.

X. W+P load & accelerating by 2g & temperature 60oC.

XI. W+P load & breaking by 2g & temperature 40oC.

XII. W+P load & breaking by 2g & temperature 60oC.

26 Sep. 2013


109


Only P W+P & turning (1g)

W+P & dropping (2g) W+P & accelerating 2g

& 40oC

Equivalent Stress

26 Sep. 2013


110


Equivalent Stress

Only P W+P & turning (1g)

W+P & dropping (2g) W+P & accelerating 2g & 40oC

26 Sep. 2013

2i. TŽV–GREDELJ d.o.o.

111

26 Sep. 2013


112

Structural Analysis of a Wagon Base

1/4 of real model (2 symmetries)

solid model, 53k elements

26 Sep. 2013


113


safety

factor

equivalent

stress

26 Sep. 2013


114


Equivalent Elastic Strain

26 Sep. 2013

2j. KOLEKTOR ETRA d.o.o.

115

Power Transformers

26 Sep. 2013


116

I. Modellling of an Oil-Cooled Transformer

• 1/4 of the model simulated, due to symmetry.

• Oil, air & steel materials, with temperature–

dependent properties.

• Heat (3.1 [kW]) is dissipated from the transformer.

• Calculate heat drawn by the oil (buoyant flow).

13M cells.

26 Sep. 2013


117

I. Modeling of an Oil–Cooled Transformer

Air Pressure Oil Pressure

Air

Velocity

26 Sep. 2013


118

I. Modeling of an Oil–Cooled Transformer

Oil Temperature

Air Temperature

26 Sep. 2013


119

II. Structural Modeling of the Frame of a Transformer

• 1/4 of the model simulated, due to

symmetry.

• Shell model.

• Material: Structural steel.

• Load: Vacuum.

• 95k elements.

26 Sep. 2013


120

II. Structural Modeling of the Frame of a Transformer

Deformation Equivalent Stress

Safety

Factor

26 Sep. 2013

2k. KOLEKTOR LIV d.o.o.

121

26 Sep. 2013


122

CFD Model of a Cavitating Valve

400k cells

26 Sep. 2013


123


0

200

400

600

800

1000

0.0 0.2 0.4 0.6 0.8 1.0

Pressure Differece, dp [MPa]

Vo

lum

etr

ic F

low

Ra

te [

lt/h

]

FLUENT

EXPERIMENT

• Multiphase flow (liquid–vapor).

• Predict flow rate vs dp.

• Evaluate cavitation rate, as a function

of dp.

Path lines (colored with

time) for dp=8 [bar].

26 Sep. 2013


124


Pressure Velocity Magnitude Turbulence Intensity

dp=8 [bar]

dp=8 [bar] dp=10 [bar]

26 Sep. 2013

2n. Brodarski Institut d.o.o.

134

I. CFD Analysis of an Azimuth Pushing Type Thruster

26 Sep. 2013

2n. Brodarski Institut d.o.o.

135

II. Modeling the Operation of CO2 Fire Extinguish System

in a Ship Engine Room

t=240 [s]

t=320 [s]

t=190 [s]

26 Sep. 2013

Extending the limits...

141

Unconventional simulations

SimTec 12 Years

simulation projects in se europe with ansys software tools

Documents