Model-Based Systems Engineering (MBSE) Challenge Modeling & Simulation Interoperability (MSI) Team...

Model-Based Systems Engineering (MBSE) Challenge

Modeling & Simulation Interoperability (MSI) Team Status Update

... with Applications to Mechatronics, Other Cyber-Physical Systems, and Beyond ...

INCOSE IW10Feb 5, 2010

Phoenix

PresenterRussell Peak - Georgia Tech

Other Team LeadersChris Paredis, Leon McGinnis,

Sandy Friedenthal, Roger Burkhart, Manas Bajaj

Portions are Copyright © 2010 by Georgia Tech Research Corporation, Atlanta, Georgia 30332-0415 USA. All Rights Reserved.Permission to reproduce and distribute without changes for non-commercial purposes (including internal corporate usage) is hereby granted provided this notice and a proper citation are included.

v2.0

Collaboration ApproachPrimary Current Team Leadership

• Deere & Co.– Roger Burkhart

• Georgia Institute of Technology (GIT)– Russell Peak, Chris Paredis, Leon McGinnis, & co.– Leveraging collaborations in PSLM Center

SysML Focus Area (www.pslm.gatech.edu)

• InterCAX– Manas Bajaj

• Lockheed Martin– Sandy Friedenthal

• Vendor Support

3

Georgia Tech Project TeamGeorgia Tech Project TeamCumulative list of people involved to date [18 total]Cumulative list of people involved to date [18 total]

• Project Leadership [3]– R Peak (MARC), C Paredis (ME), L McGinnis (ISyE)

• Other Researchers/Professionals [3]– S Cimtalay, M Wilson, V Ustun

• Student Research Assistants—Graduated [5]– Undergrad: B Wilson– Masters: J Jobe, T Johnson, A Kerzhner – PhD: M Bajaj (joined InterCAX LLC)

• Student Research Assistants—In-process [8]– Undergrad: B Aikens, M Qin, A Scott (InterCAX intern)– Masters: J Bankston, A Shah– PhD: E Huang, A Kerzhner (JPL intern), K Kwon

4

ContentsContents

• Phase 1 Synopsis (8/2007-7/2008)• Phase 2 Highlights (8/2008-Present)

Addressing key needs per Phase 1 experiences:– Education– Research & Development– Productionization / Commercialization– Applications

• Summary• Elaborations on Selected Topics• Related Resources

MBSE Challenge Team Objectives

Phase 1: 2007-2008

Overall Objectives

• Define & demonstrate capabilities for advanced modeling & simulation interoperability (MSI)

• Phase 1 Scope – Domain: Mechatronics– Capabilities: Methodologies, tools, requirements,

and practical applications – MSI subset: Connecting system specification & design models

with multiple engineering analysis & dynamic simulation models

• Test & demonstrate how SysML facilitates effective MSI

Note: The objectives to date are primarily based on projects in the GIT PSLM Center sponsored by industry and government—see backup slides.

6SysML and MBSE: A Quick-Start CourseCopyright © Georgia Tech and InterCAX. All Rights Reserved.

definition use

The 4 Pillars of SysMLAutomotive Anti-Lock Braking System Example

1. Structure 2. Behavior

3. Requirements

sd ABS_ActivationSequence [Sequence Diagram]

d1:TractionDetector

m1:BrakeModulator

detTrkLos()

modBrkFrc()

sendSignal()

modBrkFrc(traction_signal:boolean)

sendAck()

interaction

state machine

stm TireTraction [State Diagram]

Gripping Slipping

LossOfTraction

RegainTractionactivity/function

4. Parametrics

7

Interoperability Method ObjectivesInteroperability Method Objectives

Primary Impacts

Enabling Capabilities R

ed

uce

d

Tim

e

Re

du

ced

C

ost

R

ed

uce

d

Ris

k In

crea

sed

U

nd

ers

tan

din

g

Incr

ease

d

Co

rpo

rate

Mem

ory

In

crea

sed

Art

ifact

P

erf

orm

an

ce

Increased Knowledge Capture & Completeness

■ ■ ■ ■

Increased Modularity & Reusability

■ ■ ■ ■ ■

Increased Traceability

■ ■ ■

Reduced Manual Re-Creation & Data Entry Errors

■ ■ ■

Increased Automation

■ ■ ■

Reduced Modeling Effort

■ ■

Increased Analysis Intensity

■ ■

8

Excavator Modeling & Simulation TestbedExcavator Modeling & Simulation Testbed Tool Categories ViewTool Categories View

SysML Tools

TraditionalSimulation & Analysis Tools

ModelCenter

TraditionalDescriptive Tools

No Magic / SysML

ExcavatorSystem Model

OperationalScenario

NX / MCAD Tool

Excavator Boom Model

FactoryCAD

Factory Layout Model

Excel

ProductionRamps

RSA/E+ / SysMLExcavatorExecutable Scenario

Interface & Transformation Tools(VIATRA, XaiTools, ...)

Ansys

FEA Model

MathematicaReliability

Model

Excel

Cost Model

eM-PlantFactory

Simulation

DymolaDig Cycle

Model

2008-02-25a

OptimizationModel

RSA/E+ / SysML

FactoryModel

9

Excavator Modeling & Simulation TestbedExcavator Modeling & Simulation Testbed Interoperability Patterns View (MSI Panorama per MIM 0.1)Interoperability Patterns View (MSI Panorama per MIM 0.1)

Excavator Domain Models

MCAD Tools

Generic Math Solvers

Sys Dynamics Solvers

Excavator Sys-Level Models

Reliability Model

Cost Model

Optimization Model

ObjectiveFunction

Dymola

Federated Excavator Model

Boom Mfg. Assembly Models

System & Req Tools

RSD/E+

MagicDraw

NX

Mathematica

Optimizers

Excel

ModelCenter

Discrete Event Solvers (Specialized)

eM-Plant / Factory Flow

c0. Context-SpecificSimulation Models

e0. Solver Resourcesa0. Descriptive Resources

(Authoring Tools, ...)d0. Simulation Building Block

Libraries

Solid Mechanics

Queuing Concepts

Fluid Mechanics

CostConcepts

OptimizationConcepts

Reliability Concepts

Assembly Process Models

Discrete EventAssy Model

Dig Cycle Model

MM1 Queuing Assy Model

Boom Linkage Models

Stress/Deformation Models

Extensional Linkage Model

Plane Stress Linkage Model FEA Solvers

Ansys

Factory CAD Tools

FactoryCAD

b0. Federated Descriptive Models

Boom

Linkages

Hydraulics Subsystem

Factory Domain Models

Federated Factory Model

Operations

Req. & Objectives

...

Dig Site Dump Trucks

Data Mgt. Tools

Excel

Assembly Lines

Work CellsAGVs

Buffers Machines

Req. & Objectives

Excavator MBOM

2008-02-20

Tool & native m

odel interface (via XaiTools, A

PIs, ...)1) The pattern nam

es and identifiers used here conform to H

MX 0.1 —

a method

under development for generalized system

-simulation interoperability (SSI).

2) All m

odels shown are SysM

L models unless otherw

ise noted.3) Infrastructure and m

iddleware tools are also present (but not show

n) --e.g., PLM

, CM

, parametric graph m

anagers (XaiTools etc.), repositories, etc.

Com

position relationship (usage)N

ative model relationship (via tool interface, stds., ...)

Parametric or algorithm

ic relationship (XaiTools, VIA

TRA, ...)

Notes

Legend

10

AbstractThis talk overviews Phase 1 experiences and lessons learned from an excavator testbed that interconnects simulation models with associated diverse system models, design models, and manufacturing models. The goal is to enable advanced model-based systems engineering (MBSE) in particular and model-based X (MBX) [1] in general. Our method employs SysML as the primary technology to achieve multi-level multi-fidelity interoperability, while at the same time leveraging conventional modeling & simulation tools including mechanical CAD, factory CAD, spreadsheets, math solvers, finite element analysis (FEA), discrete event solvers, and optimization tools. This work is sponsored by several organizations including Deere and Lockheed and is part of the Modeling & Simulation Interoperability Team [2] in the INCOSE MBSE Challenge (with applications to mechatronics as an example domain).

[1] The X in MBX includes engineering (MBE), manufacturing (MBM), and potentially other scopes and contexts such as model-based enterprises (MBE).

[2] http://www.pslm.gatech.edu/projects/incose-mbse-msi/

CitationRS Peak, CJJ Paredis, LF McGinnis, DA Zwemer (2008-12) Simulation & Analysis Using SysML—Experiences Applying SysML in an Excavator Testbed and More. OMG SysML Information Days, Burlingame CA.http://eislab.gatech.edu/pubs/seminars-etc/2008-12-omg-sysml-info-days-peak/

[email protected], Georgia Institute of Technology, Atlanta, www.msl.gatech.edu

Simulation & Analysis Using SysMLSimulation & Analysis Using SysMLExperiences Applying SysML in an Excavator Testbed and MoreExperiences Applying SysML in an Excavator Testbed and More

Dec 2008: Final Phase 1 Overview Presentation

11

ContentsContents



• Summary


Curriculum History & Formats OfferedStatistics as of Feb 2010 — www.pslm.gatech.edu/courses

Full-semester Georgia Tech course– ISYE 8813: Fall 2007, 2008, 2009 (~60 students total)

Industry short courses– Multiple [offerings,~students] since Aug 2008

» SysML 101 [8,~160]; SysML 102 (hands-on) [6,~110]» Onsite at industry locations » In Atlanta at the Georgia Tech Global Learning Center

– Collaborative development & delivery with InterCAX LLC Professional Masters course

– Professional Masters in Applied Systems Engineeringwww.pmase.gatech.edu

– ASE 6005 SysML course starting Summer 2010


Industry Short Course Contents (p1/2)SysML 101: Tool-Independent Concepts Focus

module topic

Course Context000.01 Introduction and course overview

SysML 101: Essentials for Understanding SysML Models101.01 MBSE context & motivation101.02 SysML introduction & overview; Course examples overview101.03 Structure concepts: block basics (bdd), instances; packages (pkg)101.04 Structure concepts: block internals, ports, flows (ibd)101.05 Upfront concepts: use cases (uc); requirements (req)101.06 Behavior concepts: activities, actions (act)101.07 Behavior concepts: interactions/sequences (seq); state machines (stm)101.08 Structure concepts: block parametrics (par)101.09 Cross-cutting SysML concepts, methods, and processes101.99 Wrapup — SysML 101


module topic

SysML 102: Essentials for Creating SysML Models (Hands-On for Tool Users)102.01 User workstation setup102.02 Tool familiarity introduction - how to browse existing models, etc.102.03 Structure concepts: block basics (bdd), instances; packages (pkg)102.04 Structure concepts: block internals, ports, flows (ibd)102.05 Upfront concepts: use cases (uc); requirements (req)102.06 Behavior concepts: activities, actions (act) (w/ Myro rover team excercise)102.07 Behavior concepts: interactions/sequences (seq); state machines (stm)102.08 Structure concepts: block parametrics (par)102.09 Cross-cutting SysML concepts, methods, and processes102.10 MBSE processes: model-based document/report generation (Velocity, etc.)102.11 MBSE processes: model repositories / Teamwork Server introduction for users102.99 Wrapup — SysML 102

Approximate structure for each main concept module in SysML 102:Spiral 1: How to implement basic concepts from SysML 101 in MagicDrawSpiral 1: Corresponding student exercise Spiral 1: Corresponding Q/ASpiral 2: How to implement other concepts (from SysML 101 and more)Spiral 2: Corresponding student exercise Spiral 2: Corresponding Q/A

Industry Short Course Contents (p2/2)SysML 102: Hands-on Execution-Oriented Focus

15

Mobile Robot ExerciseMobile Robot ExerciseExecutable SysML Activity Model [after live update]Executable SysML Activity Model [after live update]

from myro import *initialize("com29")

senses()beep(1, 440)forward(1, 1)turnRight(1, .4)forward(1, 1)beep(1, 440)turnRight(1, .4)forward(1, 1)turnRight(1, .4)forward(1, 1)stop()

Resulting python script


SysML Activities Exercise @ JPLTeam Contest Using MyroMagic Plugin & Scribbler Rovers

17

Mobile Robot ExerciseMobile Robot ExerciseExecutable SysML Activity Model with Sensors & Decision Nodes Executable SysML Activity Model with Sensors & Decision Nodes

decision nodeguard condition (with sensor reading)


Mobile Robot Context (a cyber-physical system)


Auto-Generated Structured Python Scripts

New format generated by BuzzToys MyroMagic v0.3.1 — a MagicDraw plugin by GIT.

20

ContentsContents



• Summary

21

Phase 2: Research & Development ThrustsPhase 2: Research & Development Thrusts

• SysML-Modelica mapping

• “Model DNA” signatures – parametric graph visualization, debugging, ...

• System-E/MCAD/CAE interoperability

• Design-mfg interoperability; mfg simulation

• Others (not shown here)– Graph transformations– Etc.

22

SysML-Modelica Transformation Specification

(OMG ADTF Meeting, Long Beach, 12/9/2009)

Chris ParedisGeorgia Tech

On behalf of the SysML-Modelica Working Group22

The following slides are excerpts from this presentation:

23

What is Modelica?• State-of-the-art Modeling Language

for System Dynamics– Differential Algebraic Equations (DAE)– Discrete Events

• Formal, object-oriented language• Ports represent energy flow (undirected) or

signal flow (directed)• Acausal, equation-based, declarative• Multi-domain modeling• Standardized by the Modelica Association

23

24

Modelica: Standard Library

24

mot

or to

rque

25

Working Group Focus and Scope• Objective:

– Leverage the strengths of both SysML and Modelica by integrating them to create a more expressive and formal MBSE language.

– Define a formal Transformation Specification: a SysML4Modelica profile and a mapping between Modelica and the profile

• Scope:– Cover the Modelica constructs needed for the

Modelica Standard Library to be used in SysML– Generate corresponding SysML constructs that fit

within the profiling mechanism25

26

Simple Example

26

ma

ss

1

m=1

sp

rin

g1

fixed1

ModelicaModel

SysML4ModelicaAnalytical Model

SysML Descriptive Modelin Analysis Context

2727

Modelica

For

mal

, B

idire

ctio

nal

Tra

nsfo

rmat

ion

SysML4Modelica

28

Current Status

• Draft of Transformation Specification Part I — Introduction Part II — SysML4Modelica profile Part III — Modelica meta-model Part IV — SysML-Modelica mapping,

a bidirectional mapping between the SysML4Modelica profile and the Modelica meta-model

Annex A – Robotic Sample Problem

28

29

SysML-Modelica Summary• Objective:

– Leverage the strengths of both SysML and Modelica by integrating them to create a more expressive and formal MBSE language.

Descriptive Modeling in SysML+

Formal Equation-Based Modeling forAnalyses and Trade Studies in Modelica

• Next Steps:– Open source reference implementations– Submit RFC for vote at March OMG meeting

29http://www.omgwiki.org/OMGSysML/doku.php?

id=sysml-modelica:sysml_and_modelica_integration

30






• Etc.

31

““Model DNA” Signatures Using SysML ParametricsModel DNA” Signatures Using SysML ParametricsPanorama Tool by Andy Scott (Undergrad Research Asst.) and Russell Peak (Director, Modeling & Simulation Lab)Panorama Tool by Andy Scott (Undergrad Research Asst.) and Russell Peak (Director, Modeling & Simulation Lab)

b. Mini Snowman

a. Snowman

c. Snowflake

d. Mouse

g. Robot

f. ?

e. CactusTest: Match the actual model titles (below) to their “DNA signatures” with imagined titles (left).

_____ 1. South Florida water mgt. (hydrology) model

_____ 2. 2-spring physics model

_____ 3. 3-year company financial model

_____ 4. UAV road scanning system model

_____ 5. Car gas mileage model

_____ 6. Airframe mechanical part model

_____ 7. Design verification model (automated test for two Item 6. designs)

[see answers at the end of this presentation]

www.msl.gatech.edu


Satellite Tutorial Highlights: SimpleSat SysML par view and ParaMagic tool for execution

definitionSatellite[Block] par [ ]

r2 : PowerBalance{p = p1 + p2 + p3}

p

p1

p2 p3

r1 : MassBalance{m = m1 +m2 + m3 + m4}

m

m1 m2 m3 m4

propulsionSubSys : PropulsionSystem

power

mass

powerSubSys : PowerSystem

power

mass

instruments : Instruments

power

mass

controllerSubSys : ControlSystem

power

mass

reqVerifierMass : MarginOfSafetyBlock

determined

allowable

mos

r3 : CtrlPwrEqn{pwrctrl = 0.2 * mass}

mass

pwrctrl

mass

e12

e10

e11

e5

e9

e2

e6

e1

e4e3

e8

e7

“Object-Oriented Spreadsheet” plus more ...


Satellite Tutorial Highlights: SimpleSatTwo views of same model: par and flattened graph

definitionSatellite[Block] par [ ]

r2 : PowerBalance{p = p1 + p2 + p3}

p

p1

p2 p3

r1 : MassBalance{m = m1 +m2 + m3 + m4}

m

m1 m2 m3 m4

propulsionSubSys : PropulsionSystem

power

mass

powerSubSys : PowerSystem

power

mass

instruments : Instruments

power

mass

controllerSubSys : ControlSystem

power

mass

reqVerifierMass : MarginOfSafetyBlock

determined

allowable

mos

r3 : CtrlPwrEqn{pwrctrl = 0.2 * mass}

mass

pwrctrl

mass

e12

e10

e11

e5

e9

e2

e6

e1

e4e3

e8

e7

Model DNA signature(a.k.a. flattened graph)

auto-generated from SysML model

par (SysML parametrics view)

34

Model DNA Signature ExampleModel DNA Signature ExampleParametrics Model for an Analysis Tool Test SuiteParametrics Model for an Analysis Tool Test Suite

35






• Etc.See also “Elaborations on Selected Topics” after Summary

36Copyright InterCAX – All rights reserved

Emerging Tools: Connecting a System Model to Domain Models via SysML

Title: Composable Mission Framework for Rapid End-to-End Mission Design and Simulation

Principal Investigator: Dr. Manas Bajaj, InterCAX LLC

Phase 1: Jan – Jul, 2009 [NASA SBIR-08-1-S4.02-9130] — NASA SBIR project

Technical Abstract: The innovation proposed here is the Composable Mission Framework (CMF)—a model-based software framework that shall enable seamless continuity of mission design and simulation from early stage advanced studies to detailed mission design and development. The uniqueness of our approach lies in using an open standard for systems modeling and design (SysML) to wrap mission models including the mission development process thus providing a coherent map of mission knowledge. InterCAX's Composable Object technology provides the backend wrapping, model management, and simulation orchestration capabilities to the visual SysML-based mission model at the front end.

The Composable Object technology has already demonstrated the ability to power SysML-based models with math simulation capabilities for early design stages. ParaMagic is a commercially available tool being used by early adopters of SysML at JPL. The Composable Object technology has also demonstrated the ability to associate detailed design and simulation models such as those created in CAD and FEA tools. However, a big gap exists in the SysML-based world for conceptual system design and the detailed system design-based world. If the detailed system design and simulation models could be wrapped as SysML objects and the simulations and workflows orchestrated by the Composable Object technology, it will cover the entire gamut of complex system modeling and analysis world from trade studies and optimization to project scheduling.

The key objective of Phase 1 is to wrap both conceptual and detailed system design and simulation models as SysML objects which has not been done before, and to demonstrate continuity of mission concepts from simple to detailed implementation.


eCAD model in SysML

(key system-level entities and properties)

eCAD model in SysML


System Design & Analysis Integrating and Executing Diverse Models

SystemSystem

Sub-system 1Sub-system 1 Sub-system 2Sub-system 2 Sub-system nSub-system n

…

Comp 11Comp 11 Comp1mComp1m…

System model in SysMLExternal tools and models

Comp 1m1 - Design

Comp 1m1 - Design

Comp 11 – Behavior 1Comp 11 – Behavior 1


Comp 1m1 – Behavior i


mCAD model in SysML

(assembly structure, properties, constraints)

mCAD model in SysML


mCAD models(NX, Pro/E, CATIA,…)


eCAD models(Board Station, CR5000,…)


CAE models(FEA, CFD,…)


Other simulation models(STK, DEVS, …)


FEA models in SysML

(analysis conditions & results)

FEA models in SysML


FEA models in SysML


FEA models in SysML


Mapping Relationships (Parametrics)






See also “Elaborations on Selected Topics” after Summary


Connecting system model and domain models

MCAD

ECAD

PCA = printed circuit assembly

PCB = printed circuit board(bare substrate w/ metal traces ...)

BGA = ball grid array (a type of electronic component)


“System Model”- “X Domain Model” IntegrationEx. for X = Mechanical CAD

Systems Engineering Domain Design Domain

System Model

Component ZSystem Model

Property a1Property a2 a2 =

b1+b2

Step 1a Create a system model (e.g. with MagicDraw SysML)Step 1b Create a CAD domain model (e.g. with Siemens NX)Step 2 Import the CAD model into SysML as a CAD Model blockStep 3 Connect (map) the CAD model to the system model using SysML parametricsStep 4 Control an auto-synch process: updates in CAD model ↔ updates in system model

MagicDraw SysML

Component ZCAD DesignParameter b1Parameter b2Parameter b3

Component ZCAD ModelProperty b1Property b2Property b3

NX MCAD


ParaMagic is used to execute the resulting total model. It computes system-level cost & weight from all nested subsystem-level & component-level models (originating from MCAD / ECAD /… tools), and it verifies related requirements.

Weight requirement satisfied

Cost requirement not satisfied

41






• Etc.

42

Integrating Mfg Design and Simulation Integrating Mfg Design and Simulation L McGinnis et al. — http://www.pslm.gatech.edu/projects/incose-mbse-msi/L McGinnis et al. — http://www.pslm.gatech.edu/projects/incose-mbse-msi/

43

Excavator Modeling & Simulation TestbedExcavator Modeling & Simulation Testbed Tool Categories ViewTool Categories View

SysML Tools

TraditionalSimulation & Analysis Tools

ModelCenter

TraditionalDescriptive Tools

No Magic / SysML

ExcavatorSystem Model

OperationalScenario

NX / MCAD Tool

Excavator Boom Model

FactoryCAD

Factory Layout Model

Excel

ProductionRamps

RSA/E+ / SysMLExcavatorExecutable Scenario

Interface & Transformation Tools(VIATRA, XaiTools, ...)

Ansys

FEA Model

MathematicaReliability

Model

Excel

Cost Model

eM-PlantFactory

Simulation

DymolaDig Cycle

Model

2008-02-25a

OptimizationModel

RSA/E+ / SysML

FactoryModel

44

Excavator Modeling & Simulation EnvironmentExcavator Modeling & Simulation Environment Interoperability Patterns View (MSI Panorama per MIM 0.1)Interoperability Patterns View (MSI Panorama per MIM 0.1)


MCAD Tools




Reliability Model

Cost Model

Optimization Model

ObjectiveFunction

Dymola



System & Req Tools

RSD/E+

MagicDraw

NX

Mathematica

Optimizers

Excel

ModelCenter






Libraries

Solid Mechanics

Queuing Concepts

Fluid Mechanics

CostConcepts





Dig Cycle Model


Boom Linkage Models




Ansys

Factory CAD Tools

FactoryCAD


Boom

Linkages




Operations

Req. & Objectives

...


Data Mgt. Tools

Excel

Assembly Lines

Work CellsAGVs

Buffers Machines

Req. & Objectives

Excavator MBOM

2008-02-20

Tool & native m




MX 0.1 —

a method



2) All m





n) --e.g., PLM

, CM



Com





TRA, ...)

Notes

Legend

45

Manufacturing Model InterdependenciesManufacturing Model Interdependencies

46

Detailed Process PlanningDetailed Process Planning

47

On Demand SimulationOn Demand Simulation

On-Line Off-Line

User Modeler

COTSAuthoring

Tools

DescriptiveModel

Libraries

FormalDescriptive

ModelInstance

COTSSolver

AnalyticModel

Libraries

ModelTranslator

FormalAnalyticModel

Instance

Results

User

“On demand” simulation puts simulation methodology in the hands of the “problem owners”

48

eM-Plant SimulationeM-Plant Simulation

49

ContentsContents



• Summary

50

Excavator Modeling & Simulation TestbedExcavator Modeling & Simulation Testbed Interoperability Patterns View (MSI Panorama per MIM 0.1)Interoperability Patterns View (MSI Panorama per MIM 0.1)


MCAD Tools




Reliability Model

Cost Model

Optimization Model

ObjectiveFunction

Dymola



System & Req Tools

RSD/E+

MagicDraw

NX

Mathematica

Optimizers

Excel

ModelCenter






Libraries

Solid Mechanics

Queuing Concepts

Fluid Mechanics

CostConcepts





Dig Cycle Model


Boom Linkage Models




Ansys

Factory CAD Tools

FactoryCAD


Boom

Linkages




Operations

Req. & Objectives

...


Data Mgt. Tools

Excel

Assembly Lines

Work CellsAGVs

Buffers Machines

Req. & Objectives

Excavator MBOM

2008-02-20

Tool & native m




MX 0.1 —

a method



2) All m





n) --e.g., PLM

, CM



Com





TRA, ...)

Notes

Legend

51

Productionizing/Deploying GIT Productionizing/Deploying GIT XaiToolsXaiTools™™ Technology for Executing SysML ParametricsTechnology for Executing SysML Parametrics

Vendor SysMLTool

Prototype byGIT

Product by InterCAX LLC

Artisan Studio Yes Yes (2009-4Q beta)

EmbeddedPlus E+ SysML / RSA Yes <tbd>

No Magic MagicDraw Yes ParaMagic™

(Jul 21, 2008 release)

Telelogic/IBM Rhapsody — Melody™ (2010-1Q release)

Sparx Systems Enterprise Arch. <tbd> <tbd>

n/a XMI import/export Yes <tbd>

Others <tbd> Others <tbd> <tbd> <tbd>

www.InterCAX.com

[1] Full disclosure: InterCAX LLC is a spin-off company originally created to commercialize technology from RS Peak’s GIT group. GIT has licensed technology to InterCAX and has an equity stake in the company. RS Peak is one of several business partners in InterCAX. Commercialization of the SysML/composable object aspects has been fostered by the GIT VentureLab incubator program (www.venturelab.gatech.edu) via an InterCAX VentureLab project initiated October 2007.

http://www.intercax.com/

http://www.venturelab.gatech.edu/

52

Products & ServicesProducts & Services

53

ContentsContents



• Summary

54

Broadly Applicable TechnologyBroadly Applicable TechnologyExamples of Executable SysML ParametricsExamples of Executable SysML Parametrics

• Road scanning system using unmanned aerial vehicle (UAVs)• UAV-based missile interceptor system trade study• Space systems (tutorials): orbit planning; mass/cost roll-ups• Space systems (studies/pilots): FireSat (INCOSE SSWG), ...• Space systems (actuals): science merit function, ...• Environmentally-conscious energy systems / smart grid• Manufacturing “green-ness” / sustainability assessments• Regional water management systems (e.g. South Florida)

...• Mechanical part design and analysis (FEA)

...• Wind turbine supply chain management• Insurance claims processing and website capacity model• Financial model for small businesses• Banking service levels model

...

~Next-generationobject-orientedspreadsheets

(and more)


Supply Chain Modelfor Global Supply Chain Management & OptimizationSupplChain_BDD1SupplyChain[Package] bdd [ ]

«block»System

«block»Company

«block»SKU

«block»Customer

«block»WarehousePart

«block»ProductionSite

«block»SitePartSupply

«block»Supplier

«block»Warehouse

«block»SupplierPart

«block»SiteProductDemand

«block»SitePartDemand

«block»TransportMode

«block»Model_BoM

«block»SiteProductSupply

-SupPart 1..*-Part 1..*

-BoM 1..*

-SPtS

1..*-WHPart 1..*

-Prodn 1..*-WH 1..*

-SPrD 1..*

-SPrD1 1..*

-Cust_Prodn

-SPrS 1..*

-SPtS1 1..*-Part_BoM 1..*

-Cust 1..*-Xport 1..*-Cmpy -Sup 1..*

-SPrD -MB1

- Generic (shown)- Wind turbine-specifics (not shown)

Sources: [email protected] and Georgia Tech


Supply Chain Model – SysML Parametrics Connect to Optimization Models, Compute Value-at-Risk

Factory Factory[Block] par [ ]

UnitsNeeded : Real [1..*]

ProdValue : USD(000)

ProdVAR : USD(000)

Model : Product [1..*]

«constraint»DS2 : DollarSum

{high = sum(low)}high : USD(000)

low : USD(000)


{high = sum(low)}

high : USD(000)low : USD(000)

«constraint»US9 : UnitSum

{high = sum(low)}

high : Real

low : Real [1..*]

PartTransportCosts : USD(000)

PartCOGSCosts : USD(000)

ProjParts : Inventory [1..*]

«constraint»USC8 : UnitSumComplex

{high = sum(low)}

high : Real [1..*]

low : Real [1..*]


{high = sum(low)}

high : USD(000)

low : USD(000)


{high = sum(low)}

high : USD(000)low : USD(000)

ProjTransCost : USD(000)

ProjPartsCost : USD(000)

ProjValue : USD(000)

ProjVAR : USD(000)

ProjectWTG : RealWTG : Real [1..*]

e4

e1

e12

e3

e2

e7

e5

e11

e18

e10

e6 e17

Ex. Given 100’s of product orders and sourcing plans for the next 12 months, what percent of my business is at-risk if Supplier X does not deliver, or if Part Y becomes obsolete?

57





...


(and more)

58

Regional Water Mgt. System: Hydrology ModelRegional Water Mgt. System: Hydrology Model

[SystemB_v2h_rsp.mdzip]

Sources:www.sfwmd.gov and

[email protected]

59

Regional Water Mgt. System: Hydrology ModelRegional Water Mgt. System: Hydrology Model[[SystemB_v2h.mdzipSystemB_v2h.mdzip]]Model DNA signature (flattened graph “panorama” view)

(auto-generated from SysML parametrics model)

60





...


(and more)

61

61

Aluminum Cast and Machined ComponentsMore Room for Internal PartsFewer Manufacturing OperationsHeavier

Rolled, Bent, Stamped Sheet MetalLess Room for Internal PartsMore Manufacturing OperationsLighter

Source: Bras, Romaniw, et al. 10/2009www.sdm.gatech.edu

F-86 wing section test caseF-86 wing section test case

Using SysML to Evaluate Sustainability Metrics Using SysML to Evaluate Sustainability Metrics (similar to Other Metrics: Design Flexibility, ...)(similar to Other Metrics: Design Flexibility, ...)

62

12/21/09 62Source: Bras, Romaniw, et al. 10/2009

www.sdm.gatech.edu

“Object-Oriented Spreadsheet”

plus more ...

F-86 Wing Section Test Case in SysML ParametricsF-86 Wing Section Test Case in SysML ParametricsComparing Sustainability Metrics for Design AlternativesComparing Sustainability Metrics for Design Alternatives

63

ContentsContents




64

Modeling & Simulation Interoperability Modeling & Simulation Interoperability Benefits of SysML-based ApproachBenefits of SysML-based Approach

Primary Impacts

Enabling Capabilities R

ed

uced

T

ime

Re

duc

ed

Co

st

Re

duc

ed

Ris

k In

crea

sed

U

nd

erst

an

din

g In

crea

sed

C

orp

ora

te M

emo

ry

Incr

ease

d A

rtifa

ct

Pe

rfor

ma

nce

Increased Knowledge Capture & Completeness

■ ■ ■ ■

Increased Modularity & Reusability

■ ■ ■ ■ ■

Increased Traceability

■ ■ ■

Reduced Manual Re-Creation & Data Entry Errors

■ ■ ■

Increased Automation

■ ■ ■

Reduced Modeling Effort

■ ■

Increased Analysis Intensity

■ ■

Precision KnowledgePrecision Knowledgefor thefor the

Model-Based EnterpriseModel-Based Enterprise

MBSE Challenge TeamMechatronics / Model

Interoperability Open “Call for Participation”

• Systems engineering drivers in commercial settings– Increased system complexity– Cross-disciplinary communication/coordination

• Enhancement possibilities based on interest– Other demonstration examples and testbeds– Interoperability testing between SysML tools– Shared models and libraries

• Primary contacts– Russell Peak [Russell.Peak @ gatech.edu]– Sandy Friedenthal [sanford.friedenthal @ lmco.com]– Roger Burkhart [BurkhartRogerM @ JohnDeere.com]

66

ContentsContents




67





• etc.Elaborated in next slides ...


eCAD model in SysML


eCAD model in SysML



SystemSystem


…



Comp 1m1 - Design

Comp 1m1 - Design





mCAD model in SysML


mCAD model in SysML










FEA models in SysML


FEA models in SysML


FEA models in SysML


FEA models in SysML









System model of a Mini Satellite with a electronic comp (BGA)Author: System Engr.

PCA = printed circuit assembly

PCB = printed circuit board(bare substrate w/ metal traces ...)

BGA = ball grid array (a type of electronic component)


Mini Satellite must satisfy weight and cost requirements


eCAD model in SysML


eCAD model in SysML



SystemSystem


…



Comp 1m1 - Design

Comp 1m1 - Design





mCAD model in SysML


mCAD model in SysML










FEA models in SysML


FEA models in SysML


FEA models in SysML


FEA models in SysML









Mechanical CAD Model of BGA(top view – mold, chip, heat sink comps)

CAD (Siemens NX) model of the BGA assemblyAuthor: Mechanical Design Engineer


Mechanical CAD Model of BGA(bottom view - ~200 solder balls)

CAD (Siemens NX) model of the BGA assemblyAuthor: Mechanical Design Engineer


Challenges

The system engineer needs to propagate component requirements (e.g. weight, height) from the system model (SysML) to mechanical design model (NX)

The CAD engineer needs to propagate component properties (NX) to system model (SysML) to verify the design in system context (repeated as the design progresses)

The system engineer and mechanical engineer need to “map”/connect component properties in NX model and component properties in SysML model.


“System Model”- “X Domain Model” IntegrationEx. for X = Mechanical CAD

Systems Engineering Domain Design Domain

System Model

Component ZSystem Model

Property a1Property a2 a2 =

b1+b2

Step 1a Create a system model (e.g. with MagicDraw SysML)Step 1b Create a CAD domain model (e.g. with Siemens NX)Step 2 Import the CAD model into SysML as a CAD Model blockStep 3 Connect (map) the CAD model to the system model using SysML parametricsStep 4 Control an auto-synch process: updates in CAD model ↔ updates in system model

MagicDraw SysML

Component ZCAD DesignParameter b1Parameter b2Parameter b3

Component ZCAD ModelProperty b1Property b2Property b3

NX MCAD


SysML model of the BGA assembly automatically generated from NX model


The mapping (non-directed connections) between the BGA component in the Mini Satellite system model (SysML) and the MCAD NX model (now exposed in SysML) can now be specified by the user ... (the starting point shown here) ...


The resulting system model - MCAD model connections (as specified by the user in a SysML parametrics diagram) are shown here. This parametric diagram is executable and is an integral aspect of the overall system model.


ParaMagic is used to execute the resulting total model. It computes system-level cost & weight from all nested subsystem-level & component-level models (originating from MCAD / ECAD / ... tools), and it verifies related requirements.

Weight requirement satisfied

Cost requirement not satisfied


eCAD model in SysML


eCAD model in SysML



SystemSystem


…



Comp 1m1 - Design

Comp 1m1 - Design





mCAD model in SysML


mCAD model in SysML










FEA models in SysML


FEA models in SysML


FEA models in SysML


FEA models in SysML









STEP AP210 (IS0 10303-210)Design Standard for Electromechanical Products

STEP AP210 model (ISO 10303-210)

STEP AP210 model (ISO 10303-210)

Board Station(Mentor Graphics)

CR5000(Zuken)

VISULA(Zuken)

Allegro(Cadence)

ECAD Tools

Enterprise Databases

Part libraries

Material libraries

www.ap210.orgwww.wikistep.orgwww.lksoft.com

Design Integrators(LKSoft - an InterCAX partner)

SysMLSysML……

Prototyped in SBIR Phase 1 project

STEP AP210 Facts- O(100 man-yrs) in development- 1000+ concepts- Edition 1 released in 2001- Edition 2 releasing soon (2010)- In-production at Rockwell Collins, Boeing, NASA, …


SysML Schema derived from STEP AP210(9 high-level SE-related concepts)


AP210-based ECAD Model (I-501)(PCA with a 9-stratum PCB and 4 comps)

Layout of electrical features on layersLayout of electrical features on layers

IDA-STEP (LKSoft)www.ida-step.net

IDA-STEP (LKSoft)www.ida-step.net


AP210-based ECAD Model (I-501) (PCB Stackup showing 9 stratums)

Stackup of PCB stratums

Stackup of PCB stratums


SysML Instance Model Auto-generated from I-501 AP210 Model

9 PCB stratums9 PCB stratums

4 components4 components

Printed Circuit AssemblyPrinted Circuit Assembly

Printed Circuit BoardPrinted Circuit Board


eCAD model in SysML


eCAD model in SysML



SystemSystem


…



Comp 1m1 - Design

Comp 1m1 - Design





mCAD model in SysML


mCAD model in SysML










FEA models in SysML


FEA models in SysML


FEA models in SysML


FEA models in SysML









FireSat System Model(PCA and PCB components)


Printed Circuit Assembly – Testbed Model

PCA

Packaged components

PCB


Requirements, Design/CAD, and Analysis/CAE

Electronic Artifacts - PCA, PCB, Packaged parts Must satisfy requirements Analysis/CAE models defined for verifying requirements


PCA CAD Model in NX [~2000 bodies](top view – 6 BGA assembly components)


PCA CAD Model in NX [~2000 bodies] (bottom view – 4 BGA assembly components)


PCA Model in SysML (schema)(auto-generated from NX CAD model)


Printed Circuit BoardPrinted Circuit Board10 BGA assembly

components10 BGA assembly

components

~2000 BGA solder ball features

~2000 BGA solder ball features


PCA Model in SysML (instance)(auto-generated from NX CAD model)


Printed Circuit BoardPrinted Circuit Board10 BGA assembly

components10 BGA assembly

components


Printed Circuit Board – Behavior Models


Interfaces to External Tools/Models

Similar approaches can be used for other externally defined models, such as STK models and CAE models (e.g. finite element analysis model, CFD model, etc.)

Interfaces prototyped for this SBIR Phase 1 project:- MagicDraw - NX plugin (mechanical CAD tool)- MagicDraw - AP210 plugin (electrical CAD standard)- ABAQUS/ANSYS finite element analysis tool

Existing commercial interfaces used:- Matlab/Simulink, Excel, Mathematica (in ParaMagic) - AP210 interfaces to major ECAD tools (www.lksoft.com)

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ContentsContents




97

SysML Parametrics—Suggested Starting PointsSysML Parametrics—Suggested Starting Points

Introductory Papers/Tutorials• Peak RS, Burkhart RM, Friedenthal SA, Wilson MW, Bajaj M, Kim I (2007) Simulation-Based Design Using SysML—Part 1: A Parametrics

Primer. INCOSE Intl. Symposium, San Diego. [Provides tutorial-like introduction to SysML parametrics.]http://eislab.gatech.edu/pubs/conferences/2007-incose-is-1-peak-primer/

• Peak RS, Burkhart RM, Friedenthal SA, Wilson MW, Bajaj M, Kim I (2007) Simulation-Based Design Using SysML—Part 2: Celebrating Diversity by Example. INCOSE Intl. Symposium, San Diego. [Provides tutorial-like introduction on using SysML for modeling & simulation, including the MRA method for creating parametric simulation templates that are connected to design models.]http://eislab.gatech.edu/pubs/conferences/2007-incose-is-2-peak-diversity/

Example Applications• Peak RS, Burkhart RM, Friedenthal SA, Paredis CJJ, McGinnis LF (2008) Integrating Design with Simulation & Analysis Using SysML—

Mechatronics/Interoperability Team Status Report. Presentation to INCOSE MBSE Challenge Team, Utrecht, Holland. [Overviews modeling & simulation interoperability (MSI) methodology progress in the context of an excavator testbed.]http://eislab.gatech.edu/pubs/seminars-etc/2008-06-incose-is-mbse-mechatronics-msi-peak/

• Peak RS (2007) Leveraging Templates & Processes with SysML. Invited Presentation. Developing a Design/Simulation Framework: A Workshop with CPDA's Design and Simulation Council, Atlanta. [Includes applications to automotive steering wheel systems and FEA simulation templates.] http://eislab.gatech.edu/pubs/conferences/2007-cpda-dsfw-peak/

Commercial Tools and Other Examples/Tutorials• ParaMagic™ plugin for MagicDraw®. Developed by InterCAX LLC (a Georgia Tech spin-off) [1]. Available at www.MagicDraw.com. • Zwemer DA and Bajaj M (2008) SysML Parametrics and Progress Towards Multi-Solvers and Next-Generation Object-Oriented

Spreadsheets. Frontiers in Design & Simulation Workshop, Georgia Tech PSLM Center, Atlanta. [Highlights techniques for executing SysML parametrics based on the ParaMagic™ plugin for MagicDraw®. Includes UAV and financial systems examples.] http://www.pslm.gatech.edu/events/frontiers/

See slides below for additional references and resources.

[1] Full disclosure: InterCAX LLC is a spin-off company originally created to commercialize technology from RS Peak’s GIT group. GIT has licensed technology to InterCAX and has an equity stake in the company. RS Peak is one of several business partners in InterCAX. Commercialization of the SysML/composable object aspects is being fostered by the GIT VentureLab incubator program (www.venturelab.gatech.edu) via an InterCAX VentureLab project initiated October 2007.

98

MBX/SysML-Related Efforts at Georgia TechMBX/SysML-Related Efforts at Georgia Tech

• SysML Focus Area web page– http://www.pslm.gatech.edu/topics/sysml/ – Includes links to publications, applications,

projects, examples, courses, commercialization, etc.– Frontiers 2008 workshop on MBSE/MBX, SysML, ...

• Selected projects– Deere: System dynamics (fluid power, ...)– Lockheed: System design & analysis integration – NASA: Enabling technology (SysML, ...)– NIST: Design-analysis interoperability (DAI)– TRW Automotive: DAI/FEA (steering wheel systems ... )

99

Selected GIT MBX/SysML-Related PublicationsSelected GIT MBX/SysML-Related Publications Some references are available online at Some references are available online at http://www.pslm.gatech.edu/topics/sysml/http://www.pslm.gatech.edu/topics/sysml/. See additional slides for selected abstracts.. See additional slides for selected abstracts.

• Peak RS, Burkhart RM, Friedenthal SA, Paredis CJJ, McGinnis LF (2008) Integrating Design with Simulation & Analysis Using SysML—Mechatronics/Interoperability Team Status Report. Presentation to INCOSE MBSE Challenge Team, Utrecht, Holland. [Overviews modeling & simulation interoperability (MSI) methodology progress in the context of an excavator testbed.] http://eislab.gatech.edu/pubs/seminars-etc/2008-06-incose-is-mbse-mechatronics-msi-peak/

• McGinnis, Leon F., "IC Factory Design: The Next Generation," e-Manufacturing Symposium, Taipei, Taiwan, June 13, 2007. [Presents the concept of model-based fab design, and how SysML can enable integrated simulation.]

• Kwon, Ky Sang, and Leon F. McGinnis, "SysML-based Simulation Framework for Semiconductor Manufacturing," IEEE CASE Conference, Scottsdale, AZ, September 22-25, 2007. [Presents some technical details on the use of SysML to create formal generic models (user libraries) of fab structure, and how these formal models can be combined with currently available data sources to automatically generate simulation models.]

• Huang, Edward, Ramamurthy, Randeep, and Leon F. McGinnis, "System and Simulation Modeling Using SysML," 2007 Winter Simulation Conference, Washington, DC. [Presents some technical details on the use of SysML to create formal generic models (user libraries) of fab structure, and how these formal models can be combined with currently available data sources to automatically generate simulation models.]

• McGinnis, Leon F., Edward Huang, Ky Sang Kwon, Randeep Ramamurthy, Kan Wu, "Real CAD for Facilities," 2007 IERC, Nashville, TN. [Presents concept of using FactoryCAD as a layout authoring tool and integrating it, via SysML with eM-Plant for automated fab simulation model generation.]

• T.A. Johnson, J.M. Jobe, C.J.J. Paredis, and R. Burkhart "Modeling Continuous System Dynamics in SysML," in Proceedings of the 2007 ASME International Mechanical Engineering Congress and Exposition, paper no. IMECE2007-42754, Seattle, WA, November 11-15, 2007. [Describes how continuous dynamics models can be represented in SysML. The approach is based on the continuous dynamics language Modelica.]

• T.A. Johnson, C.J.J. Paredis, and R. Burkhart "Integrating Models and Simulations of Continuous Dynamics into SysML," in Proceedings of the 6th International Modelica Conference, March 3-4, 2008. [Describes how continuous dynamics models and simulations can be used in the context of engineering systems design within SysML. The design of a car suspension modeled as a mass-spring-damper system is used as an illustration.]

• C.J.J. Paredis "Research in Systems Design: Designing the Design Process," IDETC/CIE 2007, Computers and Information in Engineering Conference -- Workshop on Model-Based Systems Development, Las Vegas, NV, September 4, 2007. [Presents relationship between SysML and the multi-aspect component model method.]

• Peak RS, Burkhart RM, Friedenthal SA, Wilson MW, Bajaj M, Kim I (2007) Simulation-Based Design Using SysML—Part 1: A Parametrics Primer. INCOSE Intl. Symposium, San Diego. [Provides tutorial-like introduction to SysML parametrics.]

• Peak RS, Burkhart RM, Friedenthal SA, Wilson MW, Bajaj M, Kim I (2007) Simulation-Based Design Using SysML—Part 2: Celebrating Diversity by Example. INCOSE Intl. Symposium, San Diego. [Provides tutorial-like introduction on using SysML for modeling & simulation, including the MRA method for creating parametric simulation templates that are connected to design models.]

• Peak RS (2007) Leveraging Templates & Processes with SysML. Invited Presentation. Developing a Design/Simulation Framework: A Workshop with CPDA's Design and Simulation Council, Atlanta. [Includes applications to automotive steering wheel systems and FEA simulation templates.] http://eislab.gatech.edu/pubs/conferences/2007-cpda-dsfw-peak/

• Bajaj M, Peak RS, Paredis CJJ (2007) Knowledge Composition for Efficient Analysis Problem Formulation, Part 1: Motivation and Requirements. DETC2007-35049, Proc ASME CIE Intl Conf, Las Vegas. [Introduces the knowledge composition method (KCM), which addresses design-simulation integration for variable topology problems.]

• Bajaj M, Peak RS, Paredis CJJ (2007) Knowledge Composition for Efficient Analysis Problem Formulation, Part 2: Approach and Analysis Meta-Model. DETC2007-35050, Proc ASME CIE Intl Conf, Las Vegas. [Elaborates on the KCM approach, including work towards next-generation analysis/simulation building blocks (ABBs/SBBs).]

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Publications (cont.)Publications (cont.)

• Shah AA, Schaefer D, Paredis CJJ (2009) Enabling Multi-View Modeling with SysML Profiles and Model Transformations. International Conference on Product Lifecycle Management, Bath, UK.

• Kerzhner AA, Paredis CJJ (2009) Using Domain Specific Languages to Capture Design Synthesis Knowledge for Model-Based Systems Engineering. Proceedings of the ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, San Diego, CA, DETC2009-87286.

• J.M. Jobe, T.A. Johnson and C.J.J. Paredis, “Multi-Aspect Component Models: A Framework for Model Reuse in SysML,” in Proceedings of IDETC/CIE 2008, paper no. DETC2008–49339, Brooklyn, NY, 2008.

• W. Schamai, P. Fritzson, C. Paredis and A. Pop, "Towards Unified System Modeling and Simulation with ModelicaML: Modeling of Executable Behavior Using Graphical Notations," Proceedings of the 7th International Modelica Conference, pp. 612-621, Como, Italy, 20-22 September, 2009.

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AbstractThis presentation overviews work-in-progress experiences and lessons learned from an excavator testbed that interconnects simulation models with associated diverse system models, design models, and manufacturing models. The goal is to enable advanced model-based systems engineering (MBSE) in particular and model-based X 1 (MBX) in general. Our method employs SysML as the primary technology to achieve multi-level multi-fidelity interoperability, while at the same time leveraging conventional modeling & simulation tools including mechanical CAD, factory CAD, spreadsheets, math solvers, finite element analysis (FEA), discrete event solvers, and optimization tools. This work is currently sponsored by several organizations (including Deere and Lockheed) and is part of the Mechatronics & Interoperability Team in the INCOSE MBSE Challenge.

CitationPeak RS, Burkhart RM, Friedenthal SA, Paredis CJJ, McGinnis LF (2008) Integrating Design with Simulation & Analysis Using SysML—Mechatronics/Interoperability Team Status Report. Presentation to INCOSE MBSE Challenge Team, Utrecht, Holland. http://eislab.gatech.edu/pubs/seminars-etc/2008-06-incose-is-mbse-mechatronics-msi-peak/

[1] The X in MBX includes engineering (MBE), manufacturing (MBM), and potentially other scopes and contexts such as model-based enterprises (MBE).

Integrating Design with Simulation & Analysis Using SysML—Integrating Design with Simulation & Analysis Using SysML—Mechatronics/Interoperability Team Status ReportMechatronics/Interoperability Team Status Report

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Simulation-Based Design Using SysMLSimulation-Based Design Using SysML

Part 1: A Parametrics PrimerOMG SysML™ is a modeling language for specifying, analyzing, designing, and verifying complex systems. It is a general-purpose graphical modeling language with computer-sensible semantics. This Part 1 paper and its Part 2 companion show how SysML supports simulation-based design (SBD) via tutorial-like examples. Our target audience is end users wanting to learn about SysML parametrics in general and its applications to engineering design and analysis in particular. We include background on the development of SysML parametrics that may also be useful for other stakeholders (e.g, vendors and researchers).

In Part 1 we walk through models of simple objects that progressively introduce SysML parametrics concepts. To enhance understanding by comparison and contrast, we present corresponding models based on composable objects (COBs). The COB knowledge representation has provided a conceptual foundation for SysML parametrics, including executability and validation. We end with sample analysis building blocks (ABBs) from mechanics of materials showing how SysML captures engineering knowledge in a reusable form. Part 2 employs these ABBs in a high diversity mechanical example that integrates computer-aided design and engineering analysis (CAD/CAE).

The object and constraint graph concepts embodied in SysML parametrics and COBs provide modular analysis capabilities based on multi-directional constraints. These concepts and capabilities provide a semantically rich way to organize and reuse the complex relations and properties that characterize SBD models. Representing relations as non-causal constraints, which generally accept any valid combination of inputs and outputs, enhances modeling flexibility and expressiveness. We envision SysML becoming a unifying representation of domain-specific engineering analysis models that include fine-grain associativity with other domain- and system-level models, ultimately providing fundamental capabilities for next-generation systems lifecycle management.

CitationPeak RS, Burkhart RM, Friedenthal SA, Wilson MW, Bajaj M, Kim I (2007) Simulation-Based Design Using SysML. INCOSE Intl. Symposium, San Diego.

Part 1: A Parametrics Primer http://eislab.gatech.edu/pubs/conferences/2007-incose-is-1-peak-primer/

Part 2: Celebrating Diversity by Example http://eislab.gatech.edu/pubs/conferences/2007-incose-is-2-peak-diversity/

Part 2: Celebrating Diversity by Example These two companion papers present foundational principles of parametrics in OMG SysML™ and their application to simulation-based design. Parametrics capabilities have been included in SysML to support integrating engineering analysis with system requirements, behavior, and structure models. This Part 2 paper walks through SysML models for a benchmark tutorial on analysis templates utilizing an airframe system component called a flap linkage. This example highlights how engineering analysis models, such as stress models, are captured in SysML, and then executed by external tools including math solvers and finite element analysis solvers.

We summarize the multi-representation architecture (MRA) method and how its simulation knowledge patterns support computing environments having a diversity of analysis fidelities, physical behaviors, solution methods, and CAD/CAE tools. SysML and composable object (COB) techniques described in Part 1 together provide the MRA with graphical modeling languages, executable parametrics, and reusable, modular, multi-directional capabilities.

We also demonstrate additional SysML modeling concepts, including packages, building block libraries, and requirements-verification-simulation interrelationships. Results indicate that SysML offers significant promise as a unifying language for a variety of models-from top-level system models to discipline-specific leaf-level models.

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AbstractThis document formulates a vision for advanced collaborative engineering environments (CEEs) to aid in the design, simulation and configuration management of complex engineering systems. Based on inputs from experienced Systems Engineers and technologists from various industries and government agencies, it identifies the current major challenges and pain points of Collaborative Engineering. Each of these challenges and pain points are mapped into desired capabilities of an envisioned CEE System that will address them.

Next, we present a CEE methodology that embodies these capabilities. We overview work done to date by GIT on the composable object (COB) knowledge representation as a basis for next-generation CEE systems. This methodology leverages the multi-representation architecture (MRA) for simulation templates, the user-oriented SysML standard for system modeling, and standards like STEP AP233 (ISO 10303-233) for enhanced interoperability. Finally, we present COB representation requirements in the context of this CEE methodology. In this current project and subsequent phases we are striving to fulfill these requirements as we develop next-generation COB capabilities.

CitationDR Tamburini, RS Peak, CJ Paredis, et al. (2005) Composable Objects (COB) Requirements & Objectives v1.0. Technical Report, Georgia Tech, Atlanta. http://eislab.gatech.edu/projects/nasa-ngcobs/

Associated Project

The Composable Object (COB) Knowledge Representation: Enabling Advanced Collaborative Engineering Environments (CEEs). http://eislab.gatech.edu/projects/nasa-ngcobs/

Composable Objects (COB) Requirements & ObjectivesComposable Objects (COB) Requirements & Objectives

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AbstractSysML holds the promise of leveraging generic templates and processes across design and simulation. Russell Peak joins us to give an update on the latest efforts at Georgia Tech to apply this approach in various domains, including specific examples with a top-tier automotive supplier. Learn how you too may join this project and implement a similar effort within your own company to enhance modularity and reusability through a unified method that links diverse models. Russell will also highlight SysML’s parametrics capabilities and usage for physics-based analysis, including integrated CAD-CAE and simulation-based requirements verification. Go to www.omgsysml.org for background on SysML—a graphical modeling language based on UML2 for specifying, designing, analyzing, and verifying complex systems.

Speaker BiosketchRussell S. Peak focuses on knowledge representations that enable complex system interoperability and simulation automation. He originated composable objects (COBs), the multi-representation architecture (MRA) for CAD-CAE interoperability, and context-based analysis models (CBAMs)—a simulation template knowledge pattern that explicitly captures design-analysis associativity. This work has provided the conceptual foundation for SysML parametrics and its validation.

He teaches this and related material, and is principal investigator on numerous research projects with sponsors including Boeing, DoD, IBM, NASA, NIST, Rockwell Collins, Shinko Electric, and TRW Automotive. Dr. Peak joined the GIT research faculty in 1996 to create and lead a design-analysis interoperability thrust area. Prior experience includes business phone design at Bell Laboratories and design-analysis integration exploration as a Visiting Researcher at Hitachi in Japan.

CitationRS Peak (2007) Leveraging Simulation Templates & Processes with SysML: Applications to CAD-FEA Interoperability. Developing a Design/Simulation Framework, CPDA Workshop, Atlanta.

http://eislab.gatech.edu/pubs/conferences/2007-cpda-dsfw-peak/

Leveraging Simulation Templates & Processes with SysMLLeveraging Simulation Templates & Processes with SysML Applications to CAD-FEA InteroperabilityApplications to CAD-FEA Interoperability

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Managing “Model DNA” Using SysML ParametricsManaging “Model DNA” Using SysML ParametricsPanorama Tool by Andy Scott (Undergrad Research Asst.) and Russell Peak (Director, Modeling & Simulation Lab)Panorama Tool by Andy Scott (Undergrad Research Asst.) and Russell Peak (Director, Modeling & Simulation Lab)

b. Mini Snowman

a. Snowman

c. Snowflake

d. Mouse

g. Robot

f. ?

e. CactusTest: Match the actual model titles (below) to their “DNA signatures” with imagined titles (left).

__g__ 1. South Florida water mgt. (hydrology) model

__a__ 2. 2-spring physics model

__e__ 3. 3-year company financial model

__c__ 4. UAV road scanning system model

__b__ 5. Car gas mileage model

__d__ 6. Airframe mechanical part model

__f __ 7. Design verification model (automated test for two Item 6. designs)

[answers shown above]

www.msl.gatech.edu

Model-Based Systems Engineering (MBSE) Challenge Modeling & Simulation Interoperability (MSI) Team...

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