Case Based, Self Learning Assistant for FEM Analysis in the Design Process
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Transcript of Case Based, Self Learning Assistant for FEM Analysis in the Design Process
Dipl.-Ing. Peter Binde
Case Based, Self Learning Assistant for FEM Analysis in the Design Process
Industry and Research Project
CADFEM Usermeeting 2002
Peter Binde
Dipl.-Ing. Peter Binde
Content
- Dr. Wallner Group
- Motivation for a new Assistant System
- Concepts for Knowledge Reuse
- Analysis of Cases from Industrial Applications
- Concept for the Assistant System
- Integration with an CAD/FEM/PDM-System
- State of the Project and open Issues
Dipl.-Ing. Peter Binde
Dr. Wallner Group
Consulting and Servicearound CAD, CAE, PDM
Competences:
- Process-analyses and -syntheses- Trainings and workshops- User-support and hotline- FEA / MKS analysis and
design- Integration-solutions and
software-development
Dipl.-Ing. Peter Binde
Dr. Wallner Group
30 Persons, 10 Years ExperienceFocus on Unigraphics, iMAN
Locations: Bremen
Wiesbaden
Stuttgart
München
Dipl.-Ing. Peter Binde
Motivation for a new Assistant System
Present Situation:- More and more FEA becomes
the designers daily work
Solution:- Store and reuse knowledge from
existing FEM analysis cases
Deficits:- Often special-knowledge is necessary- Use of different methods for same problems- Knowledge stays in the heads of specialists and key users- Examples and summarised methods are only static- Databases organize data, but do not know about the content
Dipl.-Ing. Peter Binde
Concepts for Knowledge Reuse
Classification of Systems:a) Product configuration systems:
intelligent assembly structuresIntelligent partsIntelligent FEM-models
b) Process modellers and wizards: Guide through a special process
c) Systems providing the actual knowledge in context to the actual stage of design
Automatically documenting of included knowledge
Dipl.-Ing. Peter Binde
Concepts for Knowledge Reuse
Knowledge Management using Semantics and Features
Features model design characteristics
Example Feature Weld point:included information:
- Group of involved elements- Connectivity to geometry- Strength requirements- Tolerances- Costs- Manufacturing processes ...
Advantage: Weld point can be processed as a „weld point“.
Dipl.-Ing. Peter Binde
Concepts for Knowledge Reuse
Knowledge Management using Semantics and Features
We try to build up models only by use of featuresThis method automatically captures knowledge
CAD Features
(1) Sketch(2) Revolved(3) Pocket(4) Pocket(5) Hole(6) Threads
FEM Features
Fixed FaceCentrifugal LoadConcentrated Mass
Stress ToolFatigue Tool
Dipl.-Ing. Peter Binde
Concepts for Knowledge Reuse
Rule based versus case based approaches
Rule based Case based
Content: Rules CasesSolving: Applying / Finding, interpreting
combining rules and adapting most similar case
Learning: Applying new rules Applying new cases
Novice:Applies rules
Expert:Applies experience from past cases
Dipl.-Ing. Peter Binde
Concepts for Knowledge Reuse
Case based Method: Case Based Reasoning (CBR)
Retrieval of relevant cases
Selectionof most appropriate cases
Creationof a solution by adapting knowledge
Validationof the new solution, by questioning the user
Storinga solution in the case base
Focus today
Case Base
Dipl.-Ing. Peter Binde
Analysis of Cases from Industrial Applications
About 100 cases are analysed for their characteristics
Goal: - Find a way to classify FEA cases- Find a way to store case knowledge- Find a similarity measure- Prove transferability of case knowledge
Results: - Classification by design characteristics- Features describe design characteristics Hierarchy of design characteristics- Similarity can be found by comparison of features- Case knowledge can be transferred
- Result depends strongly on the use of semantics and features
Dipl.-Ing. Peter Binde
Concept for the Assistant System
Concept for the Information-model
FEA Application Case:IncludesKnowledge Elements
Task 1
Solution 1
Solution 6 Solution 7 ...Solution 5
Solution 2 Solution 3 Solution 4
Task 2 …
Assembled Task 1
Admin-Data
Knowl. Pattern: References stored in a Database
Admin-Data
Assemb.-Task
Task
Task
Task
Dipl.-Ing. Peter Binde
Integration with an CAD/FEM/PDM-System
Storing an analysis case in the case base:
Dipl.-Ing. Peter Binde
Integration with an CAD/FEM/PDM-System
Retrieving similar cases from the case base:
Example Problem Characteristic: Convection on a exhaust pipe1) User defines the problem as far as he can by use of CAD /
FEM features, 2) He selects the interesting
characteristics, 3) He asks for similar
cases.
Dipl.-Ing. Peter Binde
Integration with an CAD/FEM/PDM-System
Retrieving similar cases:
4) The system searches for similar characteristics in the case base
5) It shows the datasets of the found cases in a folder
Dipl.-Ing. Peter Binde
State of the Project and open Issues
At present: - State of initial Implementation- Users are limited to consultants of Dr. Wallner Group- Client server model, based on an iMAN-Web Portal- Users are allowed to retrieve cases as well as
providing new cases via the www.
Future:- Use for FEM-trainings- Opened for customers
Case Base
iMAN Web Server
Oracle DatabaseKnowledge
Patterns
iMANVol
Location Bremen
iMANVol
Customer
Location Wiesbaden
Location Stuttgart
Location München
AssistantSystem
Dipl.-Ing. Peter Binde
VIELEN DANK!