engineering simulation: where are we going?
DESCRIPTION
Engineering Simulations is a 2 part webinar series discussing where the engineering simulation market has its roots, its current status and its future.TRANSCRIPT
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•� * “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
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Who Am I? (my 1 minute of shameless self-promotion or your bathroom
break � )
2 February 27, 14 Copyright © 2014 by Dennis A. Nagy
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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
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Simulation Software (Tools) •� Working Environments
(pre/post) •� Computational Engines
(solvers)
People •� Full-time CAE/
Simulation Specialists
•� Product Development Engineers
Simulation Data •� Work in progress
& archiving •� Data explosion
(vs. PDM, CDM)
Engineering Simulation Processes •� Capture •� Store •� Repeat/re-use
(templates)
SDM
Training Help
KBE
SPM
(© D. Nagy, 2011)
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�� Development continues in the most mature branch—environments and solvers (“But how much is used?”) �� Nonlinear, non-”standard” materials, materials design, multi-physics, multi-
fidelity, 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
February 27, 14 5
Overview of Key Trends in Engineering Simulation (1)
Copyright © 2014 by Dennis A. Nagy
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Overview of Key Trends in Engineering Simulation (2)
�� Significant growth of materials research, data, use (Multi-scale) �� 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”
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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
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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
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The Famous “V” Diagram (Should it be a “W”?)
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Dramatic Potential Expansion of Simulation Use
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Population of product development engineers who could make use of simulation Population of simulation
engineers capable of using today’s generation of CAE tools
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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)
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Current Expertise Requirements
How to close this gap?
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A Few Examples of Wizards & Templates
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“Intelligent” Templates (COMET Solutions)
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“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 �� …
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Research
Software Development
Applications
Use for Product and
Process Improvemen
t
Mathematics
Com
puter Hardw
are and Infrastructure
Crowd-Sourced Practical Research: TheUberCloud HPC Experiment
February 27, 14 16
“Aha!” (Insight)
Copyright © 2014 by Dennis A. Nagy
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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.
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UberCloud Poll about Roadblocks
The UberCloud, June 13, 2013
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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
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Team 8: Multiphase flows within the cement and mineral industry Drying moist particles with hot gas
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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
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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
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“Best of Breed” Vendors in Main MCAE Application Areas
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�� 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): �� ANSYS/Fluent+CFX, CD-adapco STAR-CCM+, Exa
�� Electromagnetics solvers: �� 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
Best-of-Breed and “Integrated” (at the macro level)
Copyright © 2014 by Dennis A. Nagy
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MULTI-
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Mechatronics Convergence
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Key Associations Reacting to Mechatronics Convergence
�� : the only global vendor-neutral, not-for-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
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PDF copies of these slides (with active hyperlinks) available from TheUberCloud: www.TheUberCloud.com or from me at:
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