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Page 1: Designing vessels at times of changemdx2.plm.automation.siemens.com/sites/default/... · Designing vessels at times of change Driving Product Innovation Through Simulation ... Trends

Designing vessels attimes of changeDriving Product Innovation Through Simulation

Realize innovation.Unrestricted © Siemens AG 2017

Page 2: Designing vessels at times of changemdx2.plm.automation.siemens.com/sites/default/... · Designing vessels at times of change Driving Product Innovation Through Simulation ... Trends

Unrestricted © Siemens AG 201715.05.2017Page 2 Siemens PLM Software

Agenda

What is driving the need for change

Innovation for vessel design

Trends in simulation

• Full scale approach

• Realistic conditions

• Automation

• Holistic approach

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Trends Driving Innovation in Today’s Marine Market

Stricter RegulationsMinimize environmental footprint

Global RecessionRethink business models

Growing CompetitionGo to market faster with innovative designs

In a highly competitive marketadoption of right technology andinnovation differentiates thosethat thrive from those that fail

Paris agreement on climate changesigned by 195 countries commitsworld to reversing GHG emissionsupward trend

Lack of demand, oversupply incargo tonnage and cancellation oforders disrupt establishedbusiness models

Source: Third IMO GHG Study (2014)Transport & Environment Source: Clarkson Research Services LTD Source: Clarkson Research Services LTD

Range of expected increase inGHG emissions from shipping

677 637 618 625 664 696759

808907

983

11231168

10201098

696

918

0100200300400500600700800900

100011001200

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

Num

bero

fYar

ds

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Unrestricted © Siemens AG 201715.05.2017Page 4 Siemens PLM Software

Marine Industry and Environmental regulations - Update

• IMO regulations for emissions and environment:• EEDI - covering most ship types (Effective January 2015) the level tightened incrementally every 5 years• NOX Tier III (Effective from 1st January 2016 for ECAs)• SOX – 0.10% ECA limit (1st January 2015);

• ECAs: North America, US Caribbean, North Sea and Baltic• China ECA areas (1st April 2016): Shanghai, Ningbo–Zhoushan, Suzhou, Nantong, Shenzhen

• Additional ports Tianjin, Qinhuangdao, Tangshan, Huanghua, Guangzhou and Zhuhai (1st January2017):

• Global sulphur cap 0.5% implementation date 1st Jan 2020• Mandatory fuel oil consumption data collection and reporting entry into force 1st March 2018• BWM Convention comes into force 8th Sept 2017• MARPOL part of the Polar Code (entry into force 1st January 2017; 2018 for existing ships)• IMO guidelines for reducing underwater noise from commercial ships

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Unrestricted © Siemens AG 201715.05.2017Page 5 Siemens PLM Software

Driving Innovation through Simulation

Maximize vessel efficiencyMeet IMO regulatory requirements

(EEDI, MARPOL)

Demonstrate CSR

Focus on in-demand ship typesProvide a wider range of solutions

Reduce risk of failure and cost

Build reputation as innovator andtechnology leader

Offer a unique value proposition

Deliver best-in-class performance

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Unrestricted © Siemens AG 201715.05.2017Page 7 Siemens PLM Software

Driving Innovation Through Simulation

Infeasible DesignsFeasible Designs

Improved Design

33% reduction in resistance

Baseline Design

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Unrestricted © Siemens AG 201715.05.2017Page 8 Siemens PLM Software

Example - Becker Marine Systems

Customized designs delivering fuel savings for each vessel

• Deliver 4.5% fuel savingsin 6 weeks

• Saving $500k per ship / year

• 1000+ ducts installed“The success of the Becker Mewis Duct® depends almost entirely on the CFDprocess that we use to define it. Without accurate CFD simulations, we wouldn’t beable to tune each duct to the specific flow conditions generated around each hull.”

Steve Leonard, Head of R&D

40 design parameters explored,incl. duct length & diameter

Calculate flowfield around hulland through propeller

4.5% fuel savings achieved in 6weeks

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Unrestricted © Siemens AG 201715.05.2017Page 9 Siemens PLM Software

“The cavitation prediction matched well with experimental data and enabled us tooptimize the blade tip loading on the propeller.”

Keun Woo Shin, Research Engineer, Mechanics and Hydrodynamics

MAN Diesel & TurboPropeller blade design exploration improves fuel efficiency and reduces noise

• Reduce cloud cavitation

• Reduce propulsive efficiency loss from tipvortex

• Reduce noise and risk of erosion

A modern process for design exploration usingmultidisciplinary simulation

Calculate flow field around hull andthrough propeller: include actual ship

wake and rudder interaction

Vary blade pitch and vertical inclination to improveblade tip loading

ReferenceHigh tiploading

Low tiploading

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Automate

VALU

E

Validate Troubleshoot Design Explore

Redefining Strategy for Innovation

SIMULATION PURPOSE

Most companies operate hereto reduce time and cost

Business pressures force companies tooperate here to design better products

PREDICTIVE ENGINEERING EARLY IN DEVELOPMENT PROCESSREACTIVE ENGINEERING LATE IN DEVELOPMENT PROCESS

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Ship design methods - Timeline

150 years ago

TTm

odel

test

s

25 years ago

TTm

odel

test

s

10 years ago today future

TTm

odel

test

s

TTm

odel

test

s

Potentialflow

Model scaleRANS CFD

Full scaleRANS CFD

TT model tests

Full scale CFD

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Unrestricted © Siemens AG 201715.05.2017Page 12 Siemens PLM Software

Scale effects: Axial wake

Model scale Ship scale Model scale Ship scale

Courtesy of Lloyd’s Register

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Influence of scale on design exploration

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Influence of scale on design exploration

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Unrestricted © Siemens AG 201706.07.2017Page 16 Siemens PLM Software

Hull particularsLength overall to beam ratio Loa/B 5.776Waterline length to beam ratio Lwl/B 5.619Length between PP to beam ratio Lpp/B 5.496Beam to design draught ratio B/T 2.927Block coefficient Cb 0.802Prismatic coefficient Cp 0.805Midship coefficient Cm 0.995Water plane coefficient Cw 0.921Propeller particularsNumber of blades Z 4Diameter to design draught ratio D/T 0.601Expanded Blade Area ratio Ae/A0 0.463Pitch coefficient P0.7/D 0.787Rudder particularsArea to WL length and draught A/Lwl*T 0.025

Validation case – Medium Range Tanker – Lloyd’s Register

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Validation case – Medium Range Tanker – Lloyd’s Register

Self-Propulsion Model tests vs CFD

The Froude number for CFD was selected to be identical to sea trials run.Model test results were interpolated for this Froude number.

EXP CFD Δ, %

n/(V0/D) 1.3610 1.3908 2.19

Fr=V0/(gLWL)0.5 0.1933 0.1933 -

Kt=T/(ρnref2D4) 0.1964 0.1965 0.05

10Kq= 10Q/(ρnref2D5) 0.2496 0.2413 -3.32

CtSP=RSP/(0.5ρV2HWET) 4.8205 4.8133 -0.15

1-Wt 0.5960 0.5895 -1.09

1-t 0.7794 0.7895 1.30

ηr 1.0040 1.0190 1.49

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Trials ITTC Δ, % CFD Δ, %

n/(VMean/D) 1.4048 1.3428 -4.41 1.4183 0.96

Kt 1st gauge 0.16850.1632

-3.140.1660

-1.47

Kt 2ndgauge 0.1787 -8.70 -7.12

10 Kq 1stgauge 0.18980.2064

8.750.1932

1.78

10 Kq 2ndgauge 0.1897 8.82 1.84

Power 1stgauge 0.11930.1240

3.960.1225

2.75

Power 2ndgauge 0.1192 4.02 2.82

Ship scale Sea trials vs CFD

CFD agreed with Sea trials results better than ITTC predictionsFr = 0.1993

Validation case – Medium Range Tanker – Lloyd’s Register

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Unrestricted © Siemens AG 201715.05.2017Page 19 Siemens PLM Software

Ship scale CFD – First ever public initiative

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Workshop on Ship Scale Hydrodynamic Computer SimulationLloyd’s Register (LR), 25th November, 2016

The objective of the workshop is to compare results ofmodern numerical methods with sea trialsmeasurements completed by LR (16.9k DWT Generalcargo vessel REGAL), to assess and develop thecapabilities of the numerical tools in ship scale and toincrease confidence in ship scale Computational FluidDynamics (CFD).

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STAR Global Conference 2017 – selected highlights

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STAR Global Conference 2017 – selected highlights

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Unrestricted © Siemens AG 201715.05.2017Page 23 Siemens PLM Software

smp’17 conference – selected highlight

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STAR Global Conference 2017 – selected highlights

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Unrestricted © Siemens AG 201715.05.2017Page 26 Siemens PLM Software

Vessel in waves – validation example

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Vessel in waves – validation example

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Vessel in waves – validation example

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Vessel in waves – validation example

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Vessel in waves – validation example

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Hull A Hull B Hull C

Realistic conditions – performance in irregular waves

Project resultsResistance comparison

• Average resistances were compared• Lower average resistance of Hull C

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Realistic conditions – performance in irregular waves

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Unrestricted © Siemens AG 201706.07.2017Page 35 Siemens PLM Software

Realistic conditions – Cargo ship transiting an ice channel

Video is in real time for aperiod of 30 secondsAppendages are forreference only

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STAR-CCM+ Designed with Automation at its core

AutomationEHP (Estimating

Hull Performance)MDX (Design

eXploration andoptimization)

Geometry3D-CAD

CAD ImportSurface

WrappingMeshingAutomated,

Fast, Robust,Accurate

PhysicsWave BC’s

WaveDampingMotion

DFBIOverset Mesh

RBM,MRFVirtual DiskCatenaryDevices

SolverFast, robust,

accurate VOFmethod

validated byclients

MultiphysicsFEA

IntegrationDEM

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Automation to drive Product Innovation

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STAR-CCM+ Marine Application Areas for Holistic approach

Hydrodynamic optimization• Hull resistance and R&P• Bow shape• Hull efficiency (incl. air

lubrication• Wake optimization• Appendage shape and

alignment• Seakeeping• Roll decay analyses• Manoeuvring• Minimum power requirement

SloshingMoon pool dynamicsLaunch & Rescue

Engine combustionEngine room ventilationBattery simulation

Exhaust emissionsScrubbers and silencersBallast Water Treatment

Propulsion systems• Propeller and strut

optimization with FSI• Propeller-hull interaction• DP• Noise and vibration• Cavitation and erosion

Aerodynamic optimization• Superstructure drag• Wind loading• Exhaust gas dispersion• Helicopter landing• Wind power generation

HVACRefrigerationPumps & compressors

Ice-interactionFSI (bow slamming,whipping, greenseas, etc)ICCP - ImpressedCathodic CorrosionProtection

RiskMitigation

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STAR-CCM+ Computational Solid Mechanics (CSM)

Introduced in STAR-CCM+ v10.06New features added each versionOrthotropic material properties in v12.04

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CSM – propeller stresses/deformation

Propeller deformation

Stresses – centrifugal load von Mises stress in the propeller

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The Simcenter Portfolio - Flow-Induced-Noise for Marine propeller

Environmental Noise pollution

3D FEA Acoustics STAR-CCM+ Multiphysics CFDEngineeringServices

CFD Simulation

3D Simulation

1D Simulation

Test Solutions

DesignExploration

Man

aged

with

Team

cent

er

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CFD Simulation

EngineeringServices

The Simcenter Portfolio – System level modelling(Combining 1D and CFD)

Realism at each stage of development

3D Simulation

1D Simulation

Test Solutions

DesignExploration

Hydraulics

Pneumatics

Thermal

Electrical

Mechanical

Signals

Controls

Man

aged

with

Team

cent

er

1- Ship resistance

2- Both propellers

3- Electric motors

4- Four Gensets

5- The Batteries

6- The consumption strategy

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In Conclusion

Designing vessels at times of change has introduced foursignificant trends in the simulation approach

• Full scale under realistic operating conditions

• Design exploration

• Automation

• Holistic approach in simulating vessel performance

Page 39: Designing vessels at times of changemdx2.plm.automation.siemens.com/sites/default/... · Designing vessels at times of change Driving Product Innovation Through Simulation ... Trends

Thank You!Unrestricted © Siemens AG 2016 Realize innovation.