evolution, revolution, & next generation of engineering ......jan 22, 2016 · •performance...
TRANSCRIPT
Evolution, Revolution, & the Next New Generation of Engineering Simulation
Dr. Rodney L. Dreisbach Independent Consultant: Engineering Analysis & Simulation Retired: Senior Technical Fellow Computational Structures Technology The Boeing Company
Potomac, Maryland --- January 20-22, 2016
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R. L. Dreisbach
Potomac, Maryland --- January 20-22, 2016
PRELUDE Premise
• The first generation of CAx is nearing an end! • NOW, “ A New First Generation of CAx” is beginning. • We need to define collectively, a unified vision and roles to
enable the CAx revolution in the coming decades. • We must rethink the industry!
Each Attendee: Actions for Me and My Organization • Does my CAx vision support the foregoing premise? • What are the top priorities in advancing my vision? • Am I able to support a common, unified vision? • How and when shall I support a unified vision proactively?
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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Evolution of the Engineering Design Process
1920s1
21st Century: Virtual Single Design Office
1960’s: Introduction of Computers
1970’s: More Powerful Computing
1920’s: Single Design Office
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The Boeing Company - First Home (circa 1916) -
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1920’s: Single Design Office
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• Use the computer for specific engineering analysis technologies
• Make the software/hardware work
• Independent organizations
• Independent databases
1960’s: Introduction of Computers
Power Plant Group Stress Group
Production
Micro Film
Balsa Wood
Weight Group
Loft Group
Stress Group
Power Plant Group
Wing Group
Weight Group
Production Group
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The Finite Element Method is First Choice for Internal Loads Analysis
Timeframe Airplane Extent of Application
1950’s 707 None
1960’s 727, 737, 747
Verification only (after drawing release)
Early 1970’s
747SP Drawing release of selected components
Late 1970’s 757, 767 Configuration development thru airplane certification of most primary structure
1990’s to Present
777, 737X, 787,…
Configuration development thru certification for all primary structure
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The 747 Wing-Body Interaction Analysis Presented a Large Computing Problem
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Wing-Body Interaction analysis
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The 747 Wing-Body Interaction Analysis Presented a Large Computing Problem
B
A
Substructuring Entered the Scene!
B
A
D
C
Landing gear beamPressure deck
Torque box
Keel beam
Substructure Nodes Elements Equations A 1,009 2,897 1003 B 1,014 2,728 1017 C 1,060 3,546 X6000 D 894 2,526 X5000
A
B
CD
Substructure Nodes Elements Equations
A 1,009 2,897 1,003
B 1,014 2,728 1,017
C 1,060 3,546 ~ 6,000
D 894 2,526 ~ 5,000 Substructuring was born! A
B
C
l
B
A
Substructuring Entered the Scene!
B
A
D
C
Landing gear beamPressure deck
Torque box
Keel beam
Substructure Nodes Elements Equations A 1,009 2,897 1003 B 1,014 2,728 1017 C 1,060 3,546 X6000 D 894 2,526 X5000
A
B
CD
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Early CAD digital design technique!
Yeah, it’s a bit awkward . . . But Mike said I should make this drawing ON the computer!
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• Faster and larger computers are best!
• Robust software
• Focused on the design cycle
• Interfaced specialized applications
• Collocated teams
• Interfaced databases
1970’s: More Powerful Computing
CRAY
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• Automated concurrent engineering
• Integrated digital design/analysis/simulation processes
• Integrated cross-functional product teams
• Virtual collocation; geographically-distributed collaborative teaming
• Simulation of product lifecycle (conception to retirement)
21st Century: Product Lifecycle Simulation
Advanced Techniques •Clusters •Grids •Knowledge Management •Massively-Parallel •Warehousing • •
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Clients
Clients
Data & Compute
Servers
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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Major Factors Associated with a Competitive Business Advantage
Technology • Math & Physics • Engineering • Computing hardware & software • Data management • etc.
Processes • Sharing knowledge • Reusing knowledge • Best practices • etc.
People • Tacit knowledge • Collaboration • Cultures • Global • etc.
Business • Customer knowledge • Market intelligence • Strategic goals • etc.
Simulation Plays a Key Role in Each Group 15
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Data
Information
Knowledge
Innovation
Competitive
Advantage
Hig
h-Le
vera
ge
Bus
ines
s O
ppor
tuni
ties
Knowledge is the Key to Competitive Advantage Through Innovation
Wisdom
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Characteristics of Innovation --- the Interaction of the Four Groups
• Innovation – Feeds off of the knowledge of a company
– Is based on sharing knowledge across different domain groups and organizational boundaries
– Is generally associated with the development of new products and services
– Is generally the result of a series of incremental improvements
– Results from well-managed, disciplined business processes---it is not accidental!
“Invention is 1% inspiration versus 99% perspiration” --- Thomas Edison
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How to Think like Leonardo da Vinci* --- Seven da Vincian Principles
• Curiosita: An insatiably curious approach to life and an unrelenting quest for continuous learning
• Dimonstrazione: Tests knowledge through experience, persistence, and willing to learn from mistakes
• Sensazione: Continually refines the senses, especially sight, as a means to enliven experience
• Sfumato (literally "Going up in smoke"): Willing to embrace ambiguity, paradox, and uncertainty
• Arte/Scienza: Develops a balance between art and science, imagination and logic. "Whole-Brain" thinking
• Corporalita: Cultivates grace, ambidexterity, fitness, and poise • Connessione: Recognizes and appreciates the interconnectedness of all
things and phenomena - systems thinking * Book by Michael J. Gelb
Not Bad For A Man Who Was Born In 1452!
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Innovation & Competitive Advantage
• People, Processes and Technology define the foundation for creativity and innovation
– Technology makes it feasible
– People and their Processes make it successful!
• Balancing and aligning these elements with the Business Strategy results in a Competitive Business Advantage
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Simulation Roles & Their Elements
Simulation Plays a Key Role in Each Group
Technology • Math & Physics • Engineering • Computing hardware & software • Data management • etc.
Processes • Sharing knowledge • Reusing knowledge • Best practices • etc.
People • Tacit knowledge • Collaboration • Cultures • Global • etc.
Business • Customer knowledge • Market intelligence • Strategic goals • etc.
Where the Elements of Simulation include: • Modeling • Visualization • Analysis & Optimization • Knowledge Lifecycle Management
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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Simulation and Test Correlation
Functional
Requirements
Logical
Physical
System
Subsystems
Components
Voice of Customer
High Fidelity
Low Fidelity
Customer Experience
System Acceptance
Integration Test
Subsystem test
Simulation Drives Decisions Throughout the Product Lifecycle
FEOB Conceptual Preliminary Detailed Validation
(Test) Manufacture In Use
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Continued Progress in Design Paradigm Change
Traditional Engineering:
• Limited functional integration during PD
• Iteration is slow and results in significant schedule delays and cost overruns
• Manufacturing, assembly, and certification criteria are brought into development at detailed design
• Rapid Iteration >>> Concurrent Engineering
• Multidisciplinary simulation
• Robust design architecture for rapid trade capability and risk assessment
• Manufacturing and certification criteria included to optimize design for weight, cost, and rate
• Promote standards such as MoSSEC
Evolving
Verify & Validate
System Requirements
Preliminary Design
Detailed Design
Manufacturing Trials
Assembly & Tooling
Operations & Support
Implementation
Time
Integration & Test
Configuration Definition
Configuration Definition
Fabrication Simulation
Certification&
Qualification Criteria
Materials Definition and
Simulation
Performance Model Cost/Weight/Rate/Risk
Multidisciplinary Simulation Framework Assembly &
Tooling
Integrated System Requirements
Structural Design & Analysis
Increased Focus on Concurrent Engineering Up Front
Production Plan and
Optimization
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Model-Based Engineering
1st Generation 2nd Generation 3rd Generation
• 2D Drawing Based Design
• Paper Based Master
• Multidiscipline Collaboration via Engineering Bullpen
• Functional Management Organization
• Performance Driven Design Requirements
• 3D Wireframe Design
• Electronic Drafting
• Data Stored by Discipline
• Introduction of CAD /CAM
• First-Generation Integrated Product Team Development Approach
• Performance & Cost Based Requirements
• 3D Solids Design
• Model Based Design
• Model Based Work Instructions
• Introduction of PDM
• Full IPT Implementation including Suppliers
• CAIV Philosophy to Requirements
1990’s 1970’s 2000’s Paper Drawings Electronic Drawings Electronic Engineering
Model Based Development (MBD) or Model Based Engineering (MBE) is a paradigm shift for Systems/Software design, in much the same way that CAD was for hardware design.
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• Provides a common modeling and simulation environment • Requirements, functional, logical, and physical inter-relationships • 3D CAx parametric, cross-discipline functions • Virtual design, build, test, and certify • Multi-physics modeling & simulation • Common meta-model • Knowledge capture
What?
Model-Based Engineering
Why? • Allows for Rapid Prototyping and Architecture Optimization • Leads to Early Integration and Requirements Validation • Creates a Truly Representative Simulation of the Product • Supports Model-Based Requirements to Suppliers • Increased Overall Fidelity of the Simulations • Reduced Development Time and Cost
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Decision Support
Results
Process Management
Scenarios
Data Management
Models
Collaboration
Simulation Management in a Collaborative Engineering Environment
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The EU CRESCENDO Project and its Multiple Platforms for Collaboration
Standard specification of BDA Functions supporting collaboration across companies
Specialised BDA Engineering Methods for M&S => Functions/Tools supporting different company roles
Enterprise Collaboration Functions
Model Store Functions
Quality Lab Functions
Simulation Factory Functions
Modelling & Simulation Tools
Generic BDA Platform Specification
Company A : OEM Company B: Partner Company C: Supplier
Collaboration Standard • Connect & control global processes • To be formalised as “SE” DEX mapped to AP233 & AP239/PLCS
Technical Standard(s) enabling exchange of detailed data e.g., AP209, AP242, neutral & vendor formats, ...
e.g. e.g. e.g.
Multiple BDA Platforms Deployed 27
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The NAFEMS/INCOSE Systems Modeling and Simulation Working Group (SMSWG)
Objective: NAFEMS and INCOSE agreed to a mutually beneficial strategy to develop a collaborative relationship that would benefit both the organizations and their members (kick-off agreement on August 18, 2011)
Mission:
• Develop a vendor-neutral, end-user driven consortium
• Promote advancement of the technology and practices associated with co-simulation of systems engineering and engineering analysis
• Act as the governing body of standards in this space
• Drive strategic direction for technology development in this space
Includes education, communication, promotion of standards, and developing requirements having general benefits to the simulation and analysis communities.
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MBE Example: Mechatronics Simulation
Coupling of disciplines: Mechanical, Electronics, Controls and Software
Control Systems
Software
Mechanical Systems
Mechanical
CAD
Digital Control
Systems
Electro-
Mechanics
Control
Electronics
Electronic Systems
Mechatronics
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“Intuitive Simulation” Real Time Comprehension
--- versus ---
“Realistic Simulation” Batch Computation Synthesis
The Opportunity Realistic Simulation in Real Time!
What did we just see???
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Conceptual System Development Virtual Test & Validation
Process for Developing Multibody Systems
Hybrid MBD/FEM
Static Analysis
Animation in Context
Product Development
Product Development and Solution Method Relationship
MBS Modeling Complexity & Solution Time Required
Rea
l-Tim
e An
imat
ion
Rea
listic
Phy
sics
Mod
elin
g
Spatial Integration
Detailed FEM Kinematic Analysis
Swept Volume
Inverse Dynamic Analysis
Dynamic Analysis
Hydraulics/Controls
Inverse Kinematic Analysis
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Airplane Flap Design: An Art & a Science!
Kinematic synthesis determines the configuration and size of the mechanical elements that direct power flow in a mechanism.
A flap mechanism is a mechanical system that transforms a power source into a desired application of forces and movement.
“Mechanism design is the process of determining how to put 10 lbs of mechanism in a 2 lb bag”
To put it more succinctly...
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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The Aerospace Industry Building-Block Test Approach
Airplane and Major Components Validate analyses & verify product
performance; optimize via large-scale
optimization tools
Details and Subcomponents Develop design values; optimize
manually or automatically
Materials and Processes Develop material properties
via theory, experiment, &
empirical methods
Component tests
Sub-component tests
Structural elements tests
Allowables development
Material specification development
Material screening and selection
Full- scale tests
Tier 1
Tier 3
Tier 2
The test plan
integrates all levels!
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Computational Materials
Material Models
Process and Manufacturing Simulation for Quality Aspects
of Full Size Parts
Tolerances & Assembly Simulation
Processing and Quality Simulation
Advanced computational structural mechanics
Constituent Design
Material System & Forms
Vehicle
Process Development
Scale Up Assembly
Multiscale Modeling & Simulation --- Structures Example
Quantum & Molecular Mechanics
Simulation, Manufacturing & Testing Integrate all Levels of Product Creation
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Current – Notional Material Development and Certification Cycle
Material Properties ~4 yrs
Material Development & Producibility ~9 yrs
~ 18 Years
Material Performance Frozen
Product Design Cycle Begins
• Trial & Error
• Disconnected from Requirements
Design Value Devel ~3 yrs
Analysis Validation ~4 yrs
New Product Development Cycle ~5-9 yrs
It can take longer to develop an all-new structural material than it takes to
develop a new airplane – So designers have to rely on last-generation materials.
Material Development & Certification Timeliness
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When you compress most materials, you squash their atoms or molecules up against each other, shortening the bonds between them. But a new kind ultra-compressible material acts like a set of gears and springs that shrink in size. Researchers from the Molecular Materials Group at the University of Sydney have created a series of new materials that deform using a kind of torsional mechanism. The material’s made up from two different metallic molecules—one lanthanide-based (LnN6) and the other iron-based (FeC6)—which are connected by cyanide bridges. When exposed to pressure, they collapse in on themselves. The LnN6 units acting like torsion springs are synchronised by rigid Fe(CN)6 units acting like gears. The LnN6 twists away from its original trigonal prismatic geometry becoming octahedral. These LnN6 units act as torsional centres that coil dramatically under pressure and enable extreme compressibility in combination with chemical and thermal stability for the first time. The material compresses by around 20 percent in volume at 1GPa (~145,000 psi)
Example Material Simulation: --- An Ultra-Compressible Material ---
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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Ongoing Efforts Related to the Internet of Things • Cognitive Computing
• Dialog with Humans (cyber-physical) • Interpret Large Unstructured Data Sets • Learn & Help Make Decisions
• Digital Intelligence Embedded in Software • Interpreted Analytical Results Based on Math and Physics
• Extreme Computing (smartphones now have more processing power than the 1960’s supercomputers)
• On-Demand Computing (e.g., exaflop clouds) • Desktop Supercomputers • Quantum Computing (in 5 to 25 years)
• Exploitation of International Standards • FMI, OPM, Model-Based Engineering • ISO, OSLC, etc.
• Connecting Software Internally via Biomimetic Programming • Synchronous (Concurrent) Simulations & Co-Simulations • Appifications & Vertical Applications: “ … designers and engineers using computer
programs for design or analysis are cautioned that they are responsible for all technical assumptions inherent in the programs they use and they are responsible for the application of these programs to their design.” … ASME VIII Div2 2010
• Microsoft’s “HoloLens” for cross-team collaboration? Overlay virtual reality on real surroundings…
• •
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Ongoing Efforts Related to the Internet of Things (Concluded)
• Democratization • Expert Knowledge Capture & Reuse • Usability • Accessibility • Interoperability Across Engineering Domains • Next-Generation Computing Architectures
• Simulation Governance • Verification & Validation • Uncertainty Quantification • Risk Management • Simulation Deployment • Simulation Process & Data Management • International Standards
• Business Challenges • ROI • Licensing Models • Communication • Influence of SMEs • Vendor & End-User Collaboration (Alliances?)
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Meeting the Demand for CAx Expertise
Great strides are underway to “appify” focused processes especially for the novice users; however, much is still needed to guide the expert analysts! • Examples of non-interpretable error messages from commercial software
Example 1:
Example 2:
(11th World Congress on Structural and Multidisciplinary Optimisation; 07th -12th, June 2015, Sydney Australia)
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An optimization problem may involve one or more items from the 1st column, and one or more items from the top row.
Realistic Structural Optimization of Multi-Physics Problems
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The Internet of Things-----Physical and Digital!
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The Internet of Things-----Physical and Digital!
A Hyperloop Tube??? LA to San Francisco in 35 minutes!
An Autonomous Car???
Can Similar Technologies be Applied to Engineering Simulation???
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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• CRESCENDO: Collaborative and Robust Engineering using Simulation Capability Enabling Next Design Optimisation – 59 partners
– Thermal Aircraft – Power-plant integration
• TOICA: Thermal Overall Integrated Concept Aircraft – 30 partners – Dynamic Aircraft Thermal Architectures; functional, physical, zonal, logical…
• CONGA: Configuration Optimisation of Next Generation Aircraft – 7 partners
– Set Based Design
• HORIZON 2020: 2014 to 2020; 80 B€ gross budget – thousands of projects
– Science, Industrial Leadership, Societal Challenges, …
Example European Union Collaboration Projects
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COLLABORATIVE ROBUST ENGINEERING using SIMULATION CAPABILITY ENABLING NEXT DESIGN OPTIMISATION
CRESCENDO project key facts:
FP7 2nd Call Integrated Project 234344 May 2009 to October 2012 55 M€ gross budget 59 partners from 13 countries 5000+ person months effort 17 test cases More than 50 publications + 5 theses
CRESCENDO Forum:
~330 registered 50 presentation sessions 30 marketplace stands + 70 posters Handbook
European focus ... Global outreach
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The CRESCENDO Consortium
18 Aeronautic Industry
partners
9 Research Centre
partners
12 Academic partners
20 Solutions & Services
partners
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High Level Objectives:
10% reduction development life cycle duration and cost
50% reduction in rework
20% reduction in cost of physical testing
CRESCENDO’s Ambition
Initiate a step change in
the way that Modelling & Simulation activities are carried out,
by multi-disciplinary teams working as part of a
collaborative enterprise, in order to develop
new aeronautical products in a more cost and time efficient manner
Impact on Aeronautics:
Halve time to market with advanced ... processes, methods and tools
Increase integration of supply chain into the network.
Maintain steady and continuous fall in travel charges ...
Managing the evolution of the Behavioural Digital Aircraft (BDA) dataset from concept to certification is key to achieving maturity at entry into service
CRESCENDO takes up the challenge!
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External Leverage Opportunities – Partners & Collaborators –
Academia
Government Vendors
Suppliers
Professional
Organizations
Technology
Processes
People
Business
Industry CAx End-Users
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CAx-IF & CAE vendors PDES, Inc., ProSTEP iViP, AFNeT (AP209 ed2 development)
MoSSEC
Use cases, requirements, and methods oriented to capture of analysis metadata and pedigree
NAFEMS engineering methods WGs
User requirements oriented around analysis methods
End Users
Use cases, requirements, and sample data
ISO (ISO 10303 STEP, ISO 14721 OAIS)
Publish International standards
NIST
User requirements oriented around simulation data management artifacts
NAFEMS Simulation Data
Management WG
Development of Data models and standard representations
Software capabilities and recommended practices
Testing support (compliance) syntax, structure, semantics; validate recommended practices, Promote the standards
LOTAR EAS WG (NAS / EN 9300-6xx)
Requirements
Requirements
Education
Published standards
Data model, standards
Identifies needed enhancements
Use cases & Requirements
Software capabilities & recommended practices
Candidate capabilities
Compliance testing results
Promote standards
Develop standards for engineering analysis and simulation LOTAR
Use cases & Requirements
Collaborative Development Space for EAS LOTAR Consumers, Providers, and Artifacts
Sept 2015 Draft 3
ASD-STAN (LOTAR EN 9300-xx)
AIA (LOTAR NAS 9300-xx)
Published standards
Use cases & Requirements
Publish standards
Requirements
Output
Development
Legend
Other Activities 51
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Evolution of the Engineering Design Process
Innovation and Competitive Advantage
Collaborative Model-Based Engineering
Manufacturing, Testing, and Simulation Synergy
The Internet of Things: Physical & Digital
Collaboration Options via Consortia
Opportunities for Enabling the CAx Revolution
Outline
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Opportunities for Enabling the CAx Revolution
• Promote the concepts and processes for user organizations to instill “Engineering Simulation Governance” firmly as an essential strategic business goal; a prerequisite for competiveness (leadership, competencies/skills, reliable standard processes)
• Focus on optimizing the product itself and not the different math models of the product (e.g., strength optimization of the geometry, topology or topography of the product vs the “modeled” structural gages).
• Allow the design data and parametric models across multidisciplines to have comparable fidelities during the same phase of a product creation.
• Exploit international standards for integrated data modeling, and for sharing simulation information and knowledge between independent models and disparate codes across the different engineering domains.
– Free exchange of accurate product-definition information is difficult; – Proprietary data formats are used, often in a federated data environment
with high costs to industry; – Many different data models needed for different functional analyses, using
different COTS and proprietary computer applications; – Evolution of technology is constrained by the closed and/or
proprietary nature of current computing systems & data models; – Product data redundancy is prevalent.
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(Continued)
• Use “smart” techniques for product-definition information representation, mapping & integration, supporting the continuous design evolution process, allowing design constraint representations across multidisciplines to be aligned dynamically.
• Integrate cognitive computing and predictive analytics into engineering simulation capabilities, whereby virtual product testing and certification can be performed through more realistic simulation.
• Introduce a common, logical single-source product information management system for simulating the lifecycle of systems, from product conceptual design through detailed design, manufacturing, testing, verification, and support.
• Promote horizontally-integrated “Plug & Play” application suites, allowing the tools to fit the business processes; Minimize the need for highly-trained experts in solving multidisciplined problems.
• Enhance concurrent and co-simulation solution capabilities for fully-coupled cross-functional problems associated with continuum mechanics throughout the product creation process; Solutions to multi-physics problems lack realism via overly-compromised, expansive assumptions (i.e., decoupling analysis fields).
• Enhance multi-scale modeling of materials and simulations from systems to sub-systems to components and back again.
Opportunities for Enabling the CAx Revolution
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(Concluded)
• Develop robust simulation methods and tools to capture accurately the 3-D physics of typical problems (e.g., aerodynamic turbulence & vortex breakdown, statistically-based, and data quality assessment metrics).
• Create integrated processes for designing reliability-based products by harnessing knowledge into non-deterministic analysis/optimization methods via embedded intelligence with uncertainty quantification and risk prediction.
• Form alliances to develop harmonized visions for engineering simulation across industry, academia, government, professional organizations, and CAx vendors.
Opportunities for Enabling the CAx Revolution
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Realistic simulation of problems at the speed of human thought should be our vision!
Sexy simulation environments will define the destiny of the CAx industry!
Need to implement “win-win” collaborative business scenarios for all.
• Develop engineering simulation environments for collaborative modeling, analysis/optimization, immersive man-machine interactions, common visualizers, and standards-based cognitive knowledge sharing systems for experiencing real-time multi-physical response simulations.
• Change our culture and enrich our pipeline of expertise in STEM (Science, Technology, Engineering, and Math) domains, beginning with preschoolers, through college, and beyond retirement; including skill/competency metrics, career growth training, communities of practice, etc.
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Our Mission!
Opportunities --- Engineering Simulation for Innovative Products---
Transform CAx As We Know It Today!
… We Should Accept It!! … Should We Accept It!
… into an Immersive Computing Environment … for Realistic Product Simulation of
Multi-Physical Phenomena at the Speed of Human Thought!
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CAx STASSE
STEROIDS A
ASSESS Smart Tools for Engineering Robust, Optimized & Innovative Design Simulations
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Build it Better, Faster, and Cheaper!
Manufacturability
Analysis & Optimization Cost
Customers Multi-Functional Operational Specs
Supportability Safety
Maintainability
and more
Strategic Direction: Revolutionizing the Future is Now!
--- An Immersive Design Environment ---
…through Realistic Digital Simulation of Multi-Physical Phenomena at the Speed of Human Thought! 57
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Potomac, Maryland --- January 20-22, 2016 Setting New Standards for the 21st Century
Exploiting Analysis & Simulation in Engineering
(EASE) … In Action!
Northwest Technical Excellence Knowledge Management Forum June 9, 20 08
BOEING PROPRIETARY - Distribution Limited to Boeing Personnel Only
Thank You!
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