Engineering Simulation: Where are we going?

•� * “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

Who Am I? (my 1 minute of shameless self-promotion or your bathroom

break � )

2 February 27, 14 Copyright © 2014 by Dennis A. Nagy

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

February 27, 14 3 Copyright © 2014 by Dennis A. Nagy

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)

February 27, 14 Copyright © 2014 by Dennis A. Nagy 4

�� 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

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”


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


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


The Famous “V” Diagram (Should it be a “W”?)


Dramatic Potential Expansion of Simulation Use


Population of product development engineers who could make use of simulation Population of simulation

engineers capable of using today’s generation of CAE tools

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)


12

Current Expertise Requirements

How to close this gap?

A Few Examples of Wizards & Templates


“Intelligent” Templates (COMET Solutions)


“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 �� …


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)


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.


UberCloud Poll about Roadblocks

The UberCloud, June 13, 2013


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


Team 8: Multiphase flows within the cement and mineral industry Drying moist particles with hot gas


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


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


“Best of Breed” Vendors in Main MCAE Application Areas

February 27, 14 23

�� 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)



MULTI-



Mechatronics Convergence

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


PDF copies of these slides (with active hyperlinks) available from TheUberCloud: www.TheUberCloud.com or from me at:

29

[email protected]

February 27, 14 Copyright © 2014 by Dennis A. Nagy

Technology

Engineering Simulation: Where are we going?