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Trusted to deliver excellence © 2014 Rolls-Royce plc The information in this document is the property of Rolls-Royce plc and may not be copied or communicated to a third party, or used for any purpose other than that for which it is supplied without the express written consent of Rolls-Royce plc. This information is given in good faith based upon the latest information available to Rolls-Royce plc, no warranty or representation is given concerning such information, which must not be taken as establishing any contractual or other commitment binding upon Rolls-Royce plc or any of its subsidiary or associated companies. Computational Science and Engineering Grand Challenges in Rolls-Royce Leigh Lapworth Networkshop42, 1-3 April 2014, University of Leeds Rolls-Royce Proprietary Information

Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Page 1: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

Trusted to deliver excellence

© 2014 Rolls-Royce plc The information in this document is the property of Rolls-Royce plc and may not be copied or communicated to a third party, or used for any purpose other than that for which it is supplied without the express written consent of Rolls-Royce plc. This information is given in good faith based upon the latest information available to Rolls-Royce plc, no warranty or representation is given concerning such information, which must not be taken as establishing any contractual or other commitment binding upon Rolls-Royce plc or any of its subsidiary or associated companies.

Computational Science and Engineering Grand Challenges in Rolls-Royce Leigh Lapworth

Networkshop42, 1-3 April 2014, University of Leeds

Rolls-Royce Proprietary Information

Page 2: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

Trusted to deliver excellence

Rolls-Royce – 5 key sectors

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Civil Aerospace

Power Systems Marine

Defence Aerospace Energy & Nuclear

Page 3: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

Trusted to deliver excellence

Trent XWB

The most efficient engine flying in the world today The Trent XWB is 10% more fuel efficient than the engines it is designed to replace This will save airlines operating the A350 around US $2.5M per aircraft per year in fuel costs.

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http://www.rolls-royce.com/Images/trent-xwb-infographic.html

Page 4: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Trent XWB – Scope of simulation

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http://www.rolls-royce.com/Images/trent-xwb-infographic.html

1. Ultra efficient swept fan (CFD, FEA & impact)

2. Advanced compressor aerodynamics (CFD)

4. Improved efficiency 2-stage IP turbine (CFD)

3. Improved sealing air requirements (CFD & FEA)

6. Single skin combustion casing (FEA)

5. Intelligent air system management

Page 5: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Investment in R&D

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http://www.rolls-royce.com/Images/2013_Full_Year_Appendices_Data_Pack_tcm92-54901.pdf * Includes Tognum R&D of £165m

Page 6: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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University Technology Centres History

•  In the late 1980s, Rolls-Royce adopted policy of focusing academic research with selected university partners

•  First formal UTC collaborations signed in 1990 •  UTCs now in UK, Germany, USA, Norway, Sweden, Italy, S.Korea,

Singapore

Philosophy •  Each UTC addresses a key technology •  Collectively they tackle a wide range of cross sector challenges –

from combustion and aerodynamics to noise and manufacturing •  Consistent strategy of developing long-term relationships with

selected universities

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Page 7: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

Trusted to deliver excellence

Rolls-Royce University Technology Centres An increasingly global network

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NORTH AMERICA UTC at Purdue

Strategic Partnerships with Virginia Tech & the University of Virginia

Research programmes with Illinois, Georgia Tech, MIT and others Research programmes at NRC in Canada

EUROPE 19 UTCs in the UK

UTCs in Sweden, Norway and Italy 4 UTCs in Germany, plus partnerships with DLR and the Fraunhofer Institutes

ASIA UTC at Pusan in Korea

UTC at Nanyang in Singapore Research Partnerships in Japan, Singapore, China

29 Rolls-Royce University Technology Centres worldwide

Page 8: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

Trusted to deliver excellence Rolls-Royce Proprietary Information

NCC Bristol

MTC Midlands

Rolls-Royce Academic Partnerships include:

Solid Mechanics Oxford

Performance Cranfield

Performance in a Seaway Trondheim

High-Mach Propulsion Purdue Multidisciplinary Process

Integration Cottbus

Hydrodynamics Chalmers, Gothenberg

Lightweight Structures and Materials Dresden

Aerospace Materials NIMS Japan

Combustor and Turbine Aerothermal Interactions Darmstadt

Thermal management PNU Korea

Turbines Madrid (ITP)

UTCs

Fuel Cell Systems Genoa

Vibration Imperial College

Combustion System Aerothermal Processes

Loughborough

University Gas Turbine Partnership (UGTP) Cambridge

Materials Partnership Cambridge, Birmingham & Swansea

Noise Southampton

Manufacturing Technology Nottingham

Control & Systems Engineering Sheffield

Advanced Manufacturing Research Centre Sheffield AMRC

Advanced Electrical Machines and Drives Sheffield

Combustion, Noise, Aerothermal Methods DLR Cologne/Stuttgart

CCAPS UVa & Virginia Tech

Cooling and secondary flow Karlsruhe

Heat Transfer and Aerodynamics Oxford (Osney lab)

Thermo-Fluid Systems Surrey

Computational Engineering Southampton

Electrical Systems for Extreme Environments Manchester

Electrical Power Systems Strathclyde

Composites Bristol

High power Computing Illinois

Nuclear Engineering Manchester

Nuclear Engineering Imperial College

Advanced Forming Research Centre Strathclyde AFRC

Gas Turbine Transmission Systems Nottingham

CCAM UVa & VTech

A*Star Singapore

Design Georgia

Tech

Rolls-Royce Lab@NTU Singapore

Research centres & other partnerships

NAMRC Sheffield

Remanufacturing Technology

Centre Singapore

NUS Singapore

Page 9: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Global Network of Manufacturing Research Centres

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Page 10: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Design Systems Engineering Rolls-Royce uses a wide variety of analysis techniques for design verification from whole engine to component

Design Systems Engineering

Finite element structural analysis is used for vibration, lifing and thermal analysis, both linear and non-linear at component and sub-system level.

Computational fluid dynamics is used to understand the aerodynamics of engines in order to maximise performance.

Combined CFD and Structural analysis is used to study forced vibration on turbomachinery

Cost modelling is used to identify cost drivers and maximise value

Multi-disciplinary Whole Engine Design Systems predict the behaviour of the integrated product

Materials designed for required properties

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Page 11: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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High fidelity virtual engine simulation and design •  > 1 trillion degrees of freedom (DOF) •  > 1 billion core hours per calculation (Whole of ARCHER for 20

months)

Our Vision

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Page 12: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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The challenge of turbomachinery

The challenge •  Adjacent rows of rotating and stationary aerofoils •  Computationally, we put a sliding plane between them •  Each update to the rotor position changes the SP connectivity

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Stators

Rotors

Sliding Plane

Page 13: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Steady state modelling

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Making design tractable •  Circumferentially average sliding plane à steady state model

(no dynamic topology) •  Single passage per row (small number of passages in the

model) •  10-100M degrees of freedom

Page 14: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Unsteady modelling

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The cliff edges •  Large number of passages •  Single shaft has simple periodicity •  O(109) DOF but single revolution •  Multi-shaft periodicity is lowest common

multiple •  O(1010) DOF and multiple revolutions •  Above is all for RANS - LES, DNS to come

The benefits •  Greater physical accuracy à better

products with higher confidence in design •  Design for operability

Page 15: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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The scalability problem The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again.

Coverplate hook Stator bolt

Sliding plane

Sliding plane

0 250 500 750 1000 12500

2 .5

5

7 .5

10

12 .5

15

17 .5

20

22 .5

25

27 .5

30

32 .5

35

Ideal

Original

C urrent

No.  of  Proc e s sors

Spee

d-­‐Up

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(Hills ,Aeronautical Journal, 2007)

The computer science challenge •  Codes don’t always go faster on bigger computers

HPT Stage: 8 vanes, 14 blades, 9 bolts. 72o sector, 19 Million nodes - 24 hours on 256 processors

Page 16: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Our approach Fundamental Physical Research

•  Continue to utilise national and regional HPC via our UTCs

Computational Science and Engineering Research •  Develop new CSE network working with CS specialists at

the national and regional centres •  Access to national HPC for scalability work and capability

demonstration

Networking •  Aim to engage Rolls-Royce directly with the network of

HPC and CSE centres •  Fill the TRL 5 valley.

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Page 17: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Technology Transfer

Basic principles : TRL 1

Technology concept : TRL 2

proof of concept : TRL 3

validation in laboratory : TRL 4

Component v. in relevant environment : TRL 5

Full system v. in relevant environment : TRL 6

System prototype its operating environment : TRL 7

Actual system qualified through test : TRL 8

System “qualified” through service : TRL 9

Equipment Programme

Advanced / Applied Research

Basic / Fundamental Research Time

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Direct network access requires appropriate controls, e.g. secure access, data security, export controls etc.

Page 18: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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HPC partnerships National centres

•  Hartree and EPCC (EPSRC) in UK •  NCSA in US, iHPC in Singapore

Regional centres •  HPC Midlands (Loughborough)

•  Discussions with other regional HPC centres Local offload

•  ASRC in UK (Bristol) •  CPU247 in Germany (Berlin) •  NCSA in US (Illinois)

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Page 19: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Building a network HPC Midlands (Loughborough)

•  Secure access and data storage approved by RR •  17 miles from Derby •  Loughborough is also a UTC

Direct Connectivity •  Application to Janet Reach to establish direct connection •  RR connection security to be approved by RR

Follow-on •  The above is a pilot and will provide the template for direct

access to other centres

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Page 20: Computational Science and Engineering Grand Challenges in Rolls-Royce · 2014-07-29 · Computational Science and Engineering Research • Develop new CSE network working with CS

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Summary Grand challenges

•  The next level of physical complexity in our design tools introduces cliff edges in our simulation roadmaps

•  Preparing ourselves and our codes for the world of the virtual engine is an immense task – we cannot do this alone

The network solution •  Build on our long track record of working with universities •  Direct collaboration using the national infrastructure •  New research opportunities and more immediate research

impact.

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