Engineering Simulations is a 2 part webinar series discussing where the engineering simulation market has its roots, its current status and its future.

1. • * “Engineering Simulations, Part 1: “Where We Are and How We
Got Here” was webcast on Wednesday, February 12th.
•
Slides and recorded versions of both webcasts are/will be available
at www.TheUberCloud.com

2. Who Am I?
(my 1 minute of shameless self-promotion or your bathroom
break )
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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3. MCAE Future Trend Topics/
Comments
What is MCAE today? Beyond the Software
Overview of Key Trends
Key Near-Future Trend Themes
The Famous “V” Diagram
Dramatic Potential Expansion of Simulation Use
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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4. People
• Full-time CAE/
Simulation
Specialists
• Product
Development
Engineers
(© D. Nagy, 2011)
Training
Help
SPM
Engineering
Simulation
Processes
Simulation
Software (Tools)
• Working Environments
(pre/post)
• Computational Engines
(solvers)
• Capture
• Store
• Repeat/re-use
(templates)
SDM
KBE
Simulation Data
• Work in progress
& archiving
• Data explosion
(vs. PDM, CDM)
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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5. Overview of Key Trends in Engineering
Simulation (1)
Development continues in the most mature branch—
environments and solvers (“But how much is used?”)
Nonlinear, non-”standard” materials, materials design, multi-physics, multifidelity, multi-scale,…
More attention to the “connectors” (the keys to synergy):
Training and help: In-line and on-line
Simulation Process Management (SPM): capturing,
standardizing, and re-using best practices, linking multiple
software tools; “Intelligent Templates”
Knowledge-based Engineering (KBE): leveraging past work
on similar new projects, accessing past expertise and relevant
data; “Intelligent Templates”
Simulation Data Management (SDM):
storing, retrieving, and re-using results of simulation runs
Recognizing the differences between PDM and SDM:
temporary storage of significant (size of files) results vs.
archiving end results
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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6. Overview of Key Trends in Engineering
Simulation
(2)
Significant growth of materials research, data, use (Multiscale)
Composites, micro- and nano-materials, simulated materials testing,…
Multi-physics: different physical phenomena interacting/
affecting each other, e.g.,
Structural-thermal
Fluid-structure interaction (FSI)
CFD with chemical reactions, combustion
Structural, CFD, electromagnetics
Multi-fidelity/System Level (model/network-based):
Structural: 1-D (bars, beams), 2-D (plates, shells), 3-D (solids)
Flow: 1-D (piping networks, 3-D CFD (single-phase), 3-D CFD (multiphase)
Block-diagrammatic system modeling (MatLab, SABER, SysML, Modelica,
LabVIEW,…), connecting to 3D
Simulation Governance (SimGov):
administering enterprise-wide use of simulation as a corporate asset
“Command and Control”
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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7. Key Near-Future CAE Trend
Themes
Simulation-driven design (SDD)
Democratization (supply meets demand)
“The Cloud” (ubiquitous computing access)
Multi: Scale/Level, Fidelity, Physics
Mechatronics Convergence (MCAE meets ECAE/EDA
CAE) and beyond to requirements capture, systems
modeling and simulation (MBSE)
Continual Evolving ISV Ecosystems (acquisition,
creation)
Simulation Governance
All of these are a mixture of business and technology
trends
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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8. Simulation before Traditional
CAD
Using simulation (CAE) to drive product development and
more detailed product design features, rather than
following that step as a “verification” step.
“De-featuring” tools are proof that the CAD process has
gotten ahead of where it should be (?)
SpaceClaim, as an example, has targeted this pre-CAD
segment/need
Berlin-based FRIENDSHIP SYSTEMS (a DNV-GL
company) also sees the advantage:
“Traditional CAD tools (e.g. CATIA, NX, Pro/E, SolidWorks),
although powerful, are detail-oriented and encompass
features which may not be relevant for simulation.”
--FRIENDSHIP Framework web page
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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9. The Famous “V” Diagram
(Should it be a “W”?)
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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10. Dramatic Potential Expansion of Simulation
Use
Population of product
development engineers
who could make use of
simulation
Copyright © 2014 by Dennis A. Nagy
Population of simulation
engineers capable of using
today’s generation of CAE tools
February 27, 14
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11. Widening the Availability of
Simulation to “Design” Engineers
(“Democratization”?)
“Old” Paradigm: A CAD company purchases an FEA/CFD tool/company
and offers a CAD-embedded version of the traditional analysis process.
Examples: PTC Rasna, Solidworks SRAC (Cosmos), Autodesk Algor,
PlassoTech, Siemens PLM Femap
Vince Adams wrote recently (in DE article): “Autodesk wasn’t prepared to
accept the status quo. Per Scott Reese, the company’s senior director of
Simulation Solutions, after exhaustive research with customers and across the
market, Autodesk chose a different approach that it expects to be a game
changer…”
“Newer” Paradigms:
Creating simulation tools/wizards/e-handbooks to give non-simulation-experts
reliable answers to specific classes of difficult (simulation-dependent)
problems using simulation “under the covers.”
“Intelligent” templates for capturing, driving use of “right” simulation at the
right stage of product development (= at the right positions on the “V” diagram)
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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12. How to close
this gap?
Current Expertise Requirements
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13. A Few Examples
of Wizards &
Templates
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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14. “Intelligent” Templates (COMET
Solutions)
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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15. “The Cloud”
A lot of talk (hype?), increasing availability of remote
computing access, called “Cloud” by individual vendors
This is the subject of a whole different presentation
But still to early to predict which business model(s) will
emerge and dominate
Client-server, web/browser portals
Cloud-based simulation has some additional layers of
difficulty:
the need to more automatically locate enough powerful
computing (clusters/nodes/cores) to get the job done as fast
as possible
Software pricing/licensing models for “pay as you go”
Remote visualization of results vs. downloading very large
files for local visualization
…
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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16. Crowd-Sourced Practical
Research:
TheUberCloud HPC
Experiment
Computer Hardware
and Infrastructure
Mathematics
Researc
h
Software
Development
Application
s
Use for
Product and
Process
Improvemen
t
“Aha!” (
Insight)
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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17. TheUberCloud HPC
Experiment:
An open voluntary collaborative community
Objective:
Making HPC as a Service available, for everybody, on
demand
How?
For SMEs and their engineering applications
to explore the end-to-end process
of using remote computing resources,
as a service, on demand, at your finger tips,
and learning how to resolve the roadblocks.
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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18. UberCloud Poll about
Roadblocks
The UberCloud, June 13, 2013
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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19. Where Are We with the
Experiment?
Started August 2012: today (February 2014) 900+
participating organizations and individuals
Participants are from 48 countries
Round 5 started February 1, 2014: ~25-30 new
teams
140+ teams have been formed in Rounds 1-5
Registration at:
www.hpcexperiment.com
www.cfdexperiment.com
www.compbioexperiment.com
www.bigdataexperiment.com
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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20. Team 8: Multiphase flows
within the cement and mineral
industry
Drying moist particles with hot gas
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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21. More Details on the
25 Best Teams So Far (Rounds 1 & 2)
UberCloud HPC Experiment Compendium
25 selected use-cases from 60 teams in Rounds 1 & 2
Sponsored by Intel’s HPC Organization
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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22. Trends in Broader MCAE
Environments
The ongoing debate of “integrated, from a single supplier”
vs. “best of breed” from multiple vendors continues to this
day because, in reality, end users and end-user
companies really need a common environment where
seamless integration of best of breed is available.
Vendors of solver tools and environments focused/
oriented mainly around their own tools are opening up to
the heterogeneous tools needs that will remain for the
foreseeable future.
From captive environments to open foundations/
frameworks
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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23. “Best of Breed” Vendors in Main MCAE Application
Areas
Flexible mechanics (structural) solvers (FEA):
ANSYS, MSC.NASTRAN, SIMULIA/Abaqus
Multibody Dynamics (MBD) solvers:
MSC.ADAMS (LMS/CADSI, RecurDyn distant seconds)
Fluid/Thermal solvers (CFD):
Best-of-Breed
ANSYS/Fluent+CFX, CD-adapco STAR-CCM+, Exa
Electromagnetics solvers:
and “Integrated”
(at the macro level)
ANSYS/Ansoft
CAE GUI Environments and generic meshers/viewers
Altair Hyperworks, ANSYS/Workbench, ANSA, NX CAE, Ensight,…
Simulation Lifecycle Management
Siemens PLM Teamcenter, SIMULIA and ENOVIA, MSC SimManager
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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24. MULTI-
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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25. Copyright © 2014 by Dennis A. Nagy
February 27, 14
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26. Mechatronics Convergence
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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27. Key Associations Reacting to
Mechatronics Convergence
: the only global vendor-neutral, notfor-profit association for Mechanical Engineering
Simulation (MCAE)
Grew out of FEA use in the UK Nuclear Industry in the early
1980s
.
Started in the US but is now global (slightly larger than NAFEMS)
NAFEMS and INCOSE formed formal partnership
and first joint System Modeling and Simulation
Working Group (SMSWG) in mid-2012
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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29. PDF copies of these slides (with active hyperlinks)
available from TheUberCloud:
www.TheUberCloud.com
Dennis.Nagy@BeyondCAE.
or from me at:
com
Copyright © 2014 by Dennis A. Nagy
February 27, 14
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