Engineering Simulation: Where are we going?
- 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 2
- 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 3
- 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 4
- 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 5
- 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 6
- 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 7
- 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 8
- 9. The Famous “V” Diagram (Should it be a “W”?) Copyright © 2014 by Dennis A. Nagy February 27, 14 9
- 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 10
- 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 11
- 12. How to close this gap? Current Expertise Requirements 12
- 13. A Few Examples of Wizards & Templates Copyright © 2014 by Dennis A. Nagy February 27, 14 13
- 14. “Intelligent” Templates (COMET Solutions) Copyright © 2014 by Dennis A. Nagy February 27, 14 14
- 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 15
- 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 16
- 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 17
- 18. UberCloud Poll about Roadblocks The UberCloud, June 13, 2013 Copyright © 2014 by Dennis A. Nagy February 27, 14 18
- 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 19
- 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 20
- 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 21
- 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 22
- 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 23
- 24. MULTI- Copyright © 2014 by Dennis A. Nagy February 27, 14 24
- 25. Copyright © 2014 by Dennis A. Nagy February 27, 14 25
- 26. Mechatronics Convergence Copyright © 2014 by Dennis A. Nagy February 27, 14 26
- 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 27
- 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 29