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Capturing the Relationships between Design Problems and Analysis Models

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Characterize the information associated with engineering design decisions ... Transactions, Society of Naval Architects and Marine Engineers, 98: p. 565-597. ... – PowerPoint PPT presentation

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Title: Capturing the Relationships between Design Problems and Analysis Models


1
Capturing the Relationships between Design
Problems and Analysis Models
  • Gregory Mocko, Jitesh Panchal, and Farrokh
    Mistree
  • Systems Realization LaboratoryGeorgia Institute
    of TechnologyAtlanta, Georgia 30332-0405

7th Annual PDE Conference at Georgia Tech Georgia
Institute of Technology Atlanta, Georgia April 19
22, 2005
Systems Realization Laboratory
2
Research Focus
  • Objective
  • Capture the linkages between design problems and
    support models
  • Decision models, design models, and analysis
    models
  • Overarching Question
  • How can product-related information and the
    relationships between design problem and analysis
    models be captured?
  • Approach
  • Formalize the information transformations between
    support models in decision-based design
  • Characterize the information associated with
    engineering design decisions
  • Develop a representation of the linkages between
    design problems and analysis models

3
Design-Analysis Integration Problem
  • Design-analysis integration (DAI) is the seamless
    integration between design and analysis
    perspectives by capturing the relationships
    between computer-based design and analysis models
    Peak and co-authors 1998
  • The design/structural analysis integration
    problem is typified by the requirement to share
    geometric shape and analysis information in an
    iterative environment Hunten 1997
  • Why do we link design and analysis?
  • It is not just a matter of sharing data
  • We need to link design and analysis to support
    design decision making
  • Additional information must be shared to support
    design decisions

4
Design Information Integration Missing Link
Identify design decisions based on design
requirements
Analysis (e.g., FEA)
Design (e.g., CAD)
5
Research Foundation - Background
Overview
Research Opportunities
  • Decision-Based Design (DBD) Mistree et. al 1990
  • Principle role of designer is to make decisions
  • Decisions serves as markers of progress and
    information transformations
  • Decisions serves as units of communication that
    involve hierarchical decision making
  • Decision Support Problem (DSP) Technique Muster
    et. al 1988
  • A specific instantiation of DBD
  • Supports the human designer
  • Domain-independent constructs for modeling design
    processes
  • Information models and knowledge representation
    for modeling design information transformations
  • Interface for linking computer-based design and
    analysis models
  • Increase the use of standard product models to
    support product data exchange
  • RQ How can product-related information and the
    relationships between design problem and analysis
    models be captured?
  • RH Decision constructs serve as information
    integrators between design and analysis models.

6
Product Data Exchange-Standard Product Models
  • Standard product models
  • Product data must be exchanged between design
    support software
  • A neutral mechanism for exchanging product data
  • Product data exchange is a required technology
  • STEP AP203/AP209
  • Addresses interoperability of product models
    between CAD and FEA applications
  • Captures the relationships between design
    specification and analysis specification
  • Captures shape, analysis control, analysis output
  • Support design and analysis geometry definitions
  • Configuration control and management of analysis

7
Product Data Exchange-Standard Product Models
Relationships between design shape, analysis
shape, and additional analysis parameters are
captured
Source http//pdesinc.aticorp.org/pilots/engineer
ing.html
8
Product Data Exchange Analysis Templates
  • Analysis templates
  • MRA captures several aspects in design-analysis
    integration including
  • automation of routine analyses,
  • the representation of design and analysis
    associativity and of the relationships among the
    models, and
  • the support of various analysis models throughout
    the life cycle of the product
  • Address the need to capture fine-grained
    associativities between engineering CAD and CAE
    models
  • Realized through the constrained object (COB)
    information modeling language
  • Templates enable quick and efficient analysis
    integration when product variants are limited to
    parametric changes in design specifications

9
Product Data Exchange Analysis Templates
  • Coordination of various data sources
  • Linkages between design and analysis parameters
  • Enables information to be shared between CAD and
    CAE tools

Source Peak, R. S. Fulton, R. E. Nishigaki,
I. Okamoto, N. (1998) Integrating Engineering
Design and Analysis Using a Multi- Representation
Approach. Engineering with Computers, Volume 14
No.2, 93-114.
10
Product Data Exchange - Summary
  • Benefits
  • Design and analysis information must be exchanged
  • Relationships between product data and analysis
    data must be captured
  • A common language is needed to integrate design
    tools
  • What is Missing?
  • Data exchange between design and analysis must be
    in the context of design decision making
  • Design process and information transformations
    must be captured
  • Current efforts focus on product-related
    information

11
Approach Product and Process
  • Formalization of design decisions
  • Develop a knowledge representation of engineering
    design decisions
  • Development of interface
  • Specification of information exchange in design
    and analysis to facilitate access to product data
  • Plug-and-play approach for linking design and
    analysis models and design support tools

12
ModelCenter Implementation Design Problem
Design Requirements
  • Formulate decisions and organize design and
    analysis models in light of design requirements
  • Capture the decision related information
  • Approach for allocating design requirements

Identify design decisions based on design
requirements
Compare analysis results with design requirements
Design Problem (Decision)
Design Iteration
Configuration control of design and analysis
(AP209)
Analysis (e.g., FEA)
Design (e.g., CAD)
Fine grained associativities (MRA/COBs)
Application of analysis information on geometry
(Simmetrix)
13
ModelCenter Implementation Models
Design Requirements
  • Leverage standardized product models
  • Integrate design tools and product data into the
    design decision
  • Reuse design and analysis models
  • Interfaces / wrappers are needed to integrate
    standards models

Identify design decisions based on design
requirements
Compare analysis results with design requirements
Design Problem (Decision)
Design Iteration
Configuration control of design and analysis
(AP209)
Analysis (e.g., FEA)
Design (e.g., CAD)
Fine grained associativities (MRA/COBs)
Application of analysis information on geometry
(Simmetrix)
14
ModelCenter Implementation Linkages
Design Requirements
  • Capture the linkages between design and analysis
    parameters in the context of a design decision
  • Design-analysis integration has meaning in the
    context of a design decision!

Identify design decisions based on design
requirements
Compare analysis results with design requirements
Design Problem (Decision)
Design Iteration
Configuration control of design and analysis
(AP209)
Analysis (e.g., FEA)
Design (e.g., CAD)
Fine grained associativities (MRA/COBs)
Application of analysis information on geometry
(Simmetrix)
15
ModelCenter Implementation - Discussion
  • Information exchange between design and analysis
    is relevant in the context of design decisions
  • Additional information must be captured in design
    and analysis models
  • Constraints and bounds on system variables and
    responses
  • Decision-related information
  • Relationships/transformations between variables
  • Shortcomings
  • Does not rely on standardized product models
  • Decision templates interface are developed for
    specific problems
  • Generalized decision models and interfaces are
    needed

16
Closure
  • Design and analysis information must be exchanged
    in the context of design decision making
  • A standardized information model is needed to
    capture decision-related information
  • Engineering decision enable the design process to
    be modeled
  • Decisions serve information integrators
  • Decisions capture the information transformation
    in the design process
  • A standardized interface is needed between design
    and analysis models
  • Towards plug-n-play integration and information
    exchange
  • A look to the future
  • A standardized models that captured process will
    enhance PLM
  • Conventional tools address what is the design
    information, not how it was created
  • Decision-based design provides a means for
    modeling design processes

17
Questions?
18
References
  • Fenves, Steven, Choi, Young, Gurumoorthy, Balan,
    Mocko, G, Sriram, R.D. , (2003) Master Product
    Model for the Support of Tighter Integration of
    Spatial and Functional Design, NISTIR 7004
  • Hunten, K.A., (1997) CAD/FEA Integration with
    STEP AP209 Technology and Implementation
  • Mistree, F., W.F. Smith, B.A. Bras, J.K. Allen,
    and D. Muster, (1990) Decision-Based Design A
    Contemporary Paradigm in Ship Design.
    Transactions, Society of Naval Architects and
    Marine Engineers, 98 p. 565-597.
  • Muster, D. and F. Mistree, (1988) The Decision
    Support Problem Technique in Engineering Design.
    International Journal of Applied Engineering
    Education, 4(1) p. 23-33.
  • Peak, R. S. Fulton, R. E. Nishigaki, I.
    Okamoto, N. (1998) Integrating Engineering Design
    and Analysis Using a Multi- Representation
    Approach. Engineering with Computers, Volume 14
    No.2, 93-114.
  • Wilson, M.W., The Constrained Object
    Representation for Engineering Analysis
    Integration, in G.W. Woodruff School of
    Mechanical Engineering. 2000, Georgia Institute
    of Technology Atlanta, GA.
  • http//pdesinc.aticorp.org/pilots/engineering.html
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