designing vessels at times of changemdx2.plm.automation.siemens.com/sites/default/... · designing...
TRANSCRIPT
Designing vessels attimes of changeDriving Product Innovation Through Simulation
Realize innovation.Unrestricted © Siemens AG 2017
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
Unrestricted © Siemens AG 201715.05.2017Page 3 Siemens PLM Software
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
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
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
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
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
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
Unrestricted © Siemens AG 201715.05.2017Page 10 Siemens PLM Software
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
Unrestricted © Siemens AG 201715.05.2017Page 11 Siemens PLM Software
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
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
Unrestricted © Siemens AG 201715.05.2017Page 14 Siemens PLM Software
Influence of scale on design exploration
Unrestricted © Siemens AG 201715.05.2017Page 15 Siemens PLM Software
Influence of scale on design exploration
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
Unrestricted © Siemens AG 201715.05.2017Page 17 Siemens PLM Software
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
Unrestricted © Siemens AG 201715.05.2017Page 18 Siemens PLM Software
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
Unrestricted © Siemens AG 201715.05.2017Page 19 Siemens PLM Software
Ship scale CFD – First ever public initiative
Unrestricted © Siemens AG 201715.05.2017Page 20 Siemens PLM Software
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).
Unrestricted © Siemens AG 201715.05.2017Page 21 Siemens PLM Software
STAR Global Conference 2017 – selected highlights
Unrestricted © Siemens AG 201715.05.2017Page 22 Siemens PLM Software
STAR Global Conference 2017 – selected highlights
Unrestricted © Siemens AG 201715.05.2017Page 23 Siemens PLM Software
smp’17 conference – selected highlight
Unrestricted © Siemens AG 201715.05.2017Page 25 Siemens PLM Software
STAR Global Conference 2017 – selected highlights
Unrestricted © Siemens AG 201715.05.2017Page 26 Siemens PLM Software
Vessel in waves – validation example
Unrestricted © Siemens AG 201715.05.2017Page 27 Siemens PLM Software
Vessel in waves – validation example
Unrestricted © Siemens AG 201715.05.2017Page 28 Siemens PLM Software
Vessel in waves – validation example
Unrestricted © Siemens AG 201715.05.2017Page 29 Siemens PLM Software
Vessel in waves – validation example
Unrestricted © Siemens AG 201715.05.2017Page 30 Siemens PLM Software
Vessel in waves – validation example
Unrestricted © Siemens AG 201715.05.2017Page 31 Siemens PLM Software
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
Unrestricted © Siemens AG 201715.05.2017Page 33 Siemens PLM Software
Realistic conditions – performance in irregular waves
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
Unrestricted © Siemens AG 201715.05.2017Page 36 Siemens PLM Software
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
Unrestricted © Siemens AG 201715.05.2017Page 37 Siemens PLM Software
Automation to drive Product Innovation
Unrestricted © Siemens AG 201715.05.2017Page 38 Siemens PLM Software
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
Unrestricted © Siemens AG 201706.07.2017Page 40 Siemens PLM Software
STAR-CCM+ Computational Solid Mechanics (CSM)
Introduced in STAR-CCM+ v10.06New features added each versionOrthotropic material properties in v12.04
Unrestricted © Siemens AG 201706.07.2017Page 41 Siemens PLM Software
CSM – propeller stresses/deformation
Propeller deformation
Stresses – centrifugal load von Mises stress in the propeller
Unrestricted © Siemens AG 201715.05.2017Page 44 Siemens PLM Software
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
Unrestricted © Siemens AG 201706.07.2017Page 45 Siemens PLM Software
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
Unrestricted © Siemens AG 201706.07.2017Page 46 Siemens PLM Software
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
Thank You!Unrestricted © Siemens AG 2016 Realize innovation.