SysML Parametrics and Progress Towards Multi-Solvers and Next-Generation Object-Oriented...

SysML Parametrics and Progress Towards Multi-Solvers and Next-Generation Object-Oriented Spreadsheets

Manas [email protected]

Dirk [email protected]

InterCAXwww.InterCAX.com

Frontiers in Design and Simulation Workshop 2008PSLM Center, Georgia Tech, Atlanta

May 14, 2008

v2

2Copyright InterCAX – All rights reserved

Contents

Complex systems & InterCAX technology

SysML parametrics

Illustrative scenarios– LittleEye: An unmanned aerial vehicle system– Financial projections system

Lessons learnt

Next-generation spreadsheets?


Complex Systems Mechatronics / Integrated Electronics

Product Enclosure

External Interfaces

Printed Circuit Assemblies(PCAs/PWAs)

Die/Chip Package

Packaged Part

InterconnectAssembly

Printed Circuit Substrate (PCBs/PWBs)

Die/Chip

Product Enclosure

External Interfaces


Die/Chip Package

Packaged Part



Die/Chip

Product Enclosure

External Interfaces


Die/Chip Package

Packaged Part



Die/Chip

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A Complex System


Complex SystemsKey Characteristics

Sub-systems & Interactions – type & number

Stakeholders

Methods, models, and software tools

Lifecycle phases– Requirements– Design– Manufacturing / Realization– Operation


System Analyses

CAE Solvers

Math Solvers

…System Definition

CAD Modelers

System Modelers

…

FEA Solvers (ABAQUS, ANSYS,…)CFD Solvers (Fluent,…)DEVS Solvers (ARENA,…), …

MatlabMathematicaOpenModelica, …

MCAD (UGS-NX, CATIA, Pro/E,…)ECAD (Zuken CR500, MGC BoardStation,…)

SysML (MagicDraw, Artisan Studio, E+, Rhapsody,…)

Modeling and simulation technology


Contents


SysML parametrics


Lessons learnt



SysML Parametrics

SysML– OMG standard (www.omgsysml.org)– INCOSE driven– UML for SysML

Parametrics– Relationships between model parameters– Fine-grained– Declarative– Reuse of relationships: Constraint Block


LittleEye: An Unmanned Aerial Vehicle


Key Questions for LittleEye Model

Miles scanned by the LittleEye system

What limits the number of miles scanned?

Change in number of miles scanned with change in– Number of UAV / planes– Amount of fuel– Monitoring crew


Road Scanner System ProblemLittleEye UAV


Demo of LittleEye example


LittleEye SysML ModelVarious Diagram Views


Solving LittleEye SysML ParametricsParaMagic Browser Views

Instance 1 - Before Solving Instance 1 - After Solving


Contents


SysML parametrics


Lessons learnt



Financial Projections System

Key questions:– Given projected sales, expenses and financing, what is the

financial position of the company at the end of 3 years?– Given the desired financial position at the end of 3 years,

what are the required sales, expenses and financing?– …

Three YearCorporateFinancial

Projections


Demo of Financial Projections System


Financial Projections SysML ModelVarious Diagram Views


Solving Financial Projections SysML ParametricsParaMagic Browser Views

Instance 1 - Before Solving Instance 1 - After Solving


Contents


SysML parametrics


Lessons learnt



Lessons Learnt

SysML Parametrics is powerful, flexible, and easy-to-learn, with wide application beyond “systems engineering”

Control of causality is a very important feature for fully exploiting the model.

Areas for improvement– display of large arrays of instance data– inefficiency in repetitive actions– model completeness, redundancy, over/under-constrained– interoperability


Next-Generation Spreadsheets?

Mental calculation Time

Parametric models– Visible model structure– Flexible control and

causality– Multiple solvers– Multiple data sources Spreadsheets

– Equations– Macros– Visualization

Written tables– Memory– Collaboration

SysML Parametrics and Progress Towards Multi-Solvers and Next-Generation Object-Oriented...

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