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November 11, 2014 Use of StarCCM+ for Marine applications at ABB Marine Oil, Gas and Chemical CFD Conference, November 2014, Houston Dr. Pasi Miettinen ABB Marine, Helsinki, Finland © ABB Group | Slide 1

Dr. Pasi Miettinen Marine and Cranes Use of StarCCM+ for ...mdx2.plm.automation.siemens.com/sites/default/files... · ABB Marine and Cranes overview Global leader in power and automation

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Marine and CranesThe font colors must reflect the colors of the picture or illustration

Name, department/event, date

November 11, 2014

Use of StarCCM+ for Marine applications at ABB Marine

Oil, Gas and Chemical CFD Conference, November 2014, Houston

Dr. Pasi MiettinenABB Marine, Helsinki, Finland

© ABB Group | Slide 1

Content

Introduction

Definitions

Range of simulation approaches

Our workflow within StarCCM+1. CAD design (3D-CAD)

2. Model set up

3. Meshing

4. Solving

5. Post processing and analyzing the results

Conclusions

Acknowledgements

© ABB Group November 11, 2014 | Slide 2

ABB Marine and Cranes overviewGlobal leader in power and automation

Leading supplier of

Electric power plant & propulsion

Azipod@ propulsors and thrusters

Drives for offshore oil drilling process

Automation and electrification for Harbor cranes

Market leader

Cruise ships

Ice breakers

Offshore supply vessels

LNG carriers

Oil drilling vessels

Global operations

Presence in > 20 countries

Main business centers in Finland, Norway, China

and Singapore

© ABB Group November 11, 2014 | Slide 3

Azipod® - The most environmental friendly propulsion system

Azimuthing electricpropulsion and thrustersystem

Electric motor inside a submerged pod

Speed controlled fixed pitchpropeller

Propulsion module can berotated 360 degrees aroundits vertical axis

Azipod® is a registeredtrade mark of ABB

© ABB Group November 11, 2014 | Slide 4

November 11, 2014© ABB Group

| Slide 5

My background

First cluster experience in 1998 Creep and strength of paperboard packages, Abaqus

Master Thesis, Applied Physics in 1999 University of Jyväskylä, Finland

Modeling airflows of calender nip of a papermachine, Fluent in 2D

PhD, Applied Physics in 2009 University of Jyväskylä, Finland

Simulation of the structure and rheology of wet webs

Fortran code, origin from the University of Wisconsin-Madison

Regular user of StarCCM+ from 2008 Solid Oxide Fuel Cells, heat transfer at elevated temperatures

(> 750degC) and fluid flows at Wärtsilä

Azipod, unsteady sliding mesh and multiphase, free surface flows at ABB Marine from 2012

© ABB Group November 11, 2014 | Slide 6

Definition of dimensionless parameters

Advance number 𝐽𝐽 = 𝑉𝑉𝑛𝑛𝑛𝑛

Velocity V, Propeller rotation speed n, Propeller diameter D

Thrust coefficient of the propeller 𝐾𝐾𝐾𝐾 = 𝑇𝑇𝜌𝜌𝑛𝑛2𝑛𝑛4

Water density ρ, Propeller thrust T

Torque coefficient of the propeller 𝐾𝐾𝐾𝐾 = 𝑄𝑄𝜌𝜌𝑛𝑛2𝑛𝑛5

Propeller torque Q

Thrust coefficient of the pod unit 𝐾𝐾𝐾𝐾𝑢𝑢𝑛𝑛𝑢𝑢𝑢𝑢 = 𝑇𝑇𝑢𝑢𝑢𝑢𝑢𝑢𝑢𝑢𝜌𝜌𝑛𝑛2𝑛𝑛4

Pod unit thrust T_unit

Open water efficiency of the propeller 𝑒𝑒𝑒𝑒𝑒𝑒 = 𝐽𝐽𝐽𝐽𝑇𝑇2𝜋𝜋𝐽𝐽𝑄𝑄

Open water efficiency of the pod unit 𝑒𝑒𝑒𝑒𝑒𝑒_𝑢𝑢𝑢𝑢𝑢𝑢𝑢𝑢 = 𝐽𝐽𝐽𝐽𝑇𝑇_𝑢𝑢𝑛𝑛𝑢𝑢𝑢𝑢2𝜋𝜋𝐽𝐽𝑄𝑄

© ABB Group November 11, 2014 | Slide 7

Range of simulation approachesPeriodic single propeller blade using movingreference frame (MRF)

Multiphase, free surface flow with Azipod propulsor at fullscale using unsteady sliding mesh approach

© ABB Group November 11, 2014 | Slide 8

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

pod_unit

© ABB Group November 11, 2014 | Slide 9

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

1. pod_unit geometry imported2. Surrounding simulation domain (box) generated3. Rotating cylinder generated4. Part for mesh refinement (vol ctrl) generated

© ABB Group November 11, 2014 | Slide 10

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

1. Bodies from 3D-CAD exported to Parts2. Mesh operations used for creating rotating and

stationary regions

© ABB Group November 11, 2014 | Slide 11

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

1. Automated mesh operations used for rotatingand stationary regions

2. Physics continua generated or existingtemplates are used

3. Rotating and stationary parts assigned to regions or existing templates are used

© ABB Group November 11, 2014 | Slide 12

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

1. External cluster and java macros are used for speeding up the design cycle

2. Wait…

© ABB Group November 11, 2014 | Slide 13

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

© ABB Group November 11, 2014 | Slide 14

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

Reynolds scalingAssumption of turbulenceRANS approach

© ABB Group November 11, 2014 | Slide 15

Our workflow within StarCCM+CAD design (3D-CAD)

Model set up Meshing Solving Post processing and analyzing the results

Velocity fields, nonzero steering angle

Average pressure per one propeller revolution

Strength analysis• Now third party software• 2015 StarCCM+ v10

© ABB Group November 11, 2014 | Slide 16

Conclusions

High Performance Computing (HPC) combined with automated meshing operations and java macros hasaccelerated the design cycle significantly

Parts-based meshing is one of the best improvements I have seen within StarCCM+

Next year inclusion of the stress solver with FEA approachwill further speed up the the design cycle

© ABB Group November 11, 2014 | Slide 17

Acknowledgements

Gridcore cluster was utilized

CD-adapco support is fully acknowledged

© ABB Group November 11, 2014 | Slide 18

© ABB Group November 11, 2014 | Slide 19