K plus Kompetenzzentrenprogramm,
eine Förderinitiative des Bundesministeriums für Verkehr, Innovation und Technologie (BMVIT)
Gefördert mit Mitteln des FFG, des Landes Steiermark und der Stadt Graz und der steirischen Wirtschaftsförderung (SFG)
K plus Kompetenzzentrenprogramm,
eine Förderinitiative des Bundesministeriums für Verkehr, Innovation und Technologie (BMVIT)
Gefördert mit Mitteln des FFG, des Landes Steiermark und der Stadt Graz und der steirischen Wirtschaftsförderung (SFG)
K plus Kompetenzzentrenprogramm,
eine Förderinitiative des Bundesministeriums für Verkehr, Innovation und Technologie (BMVIT)
Gefördert mit Mitteln des FFG, des Landes Steiermark und der Stadt Graz und der steirischen Wirtschaftsförderung (SFG)
K plus Kompetenzzentrenprogramm,
eine Förderinitiative des Bundesministeriums für Verkehr, Innovation und Technologie (BMVIT)
Gefördert mit Mitteln des FFG, des Landes Steiermark und der Stadt Graz und der steirischen Wirtschaftsförderung (SFG)
COMET K2 Forschungsprogramm
Eine Förderinitiative des Bundesministeriums für Verkehr, Innovation und Technologie (BMVIT) und dem
Ein Kompetenzzentrum der MEMBER OF
Break out session
„Materials / Integration“
Günther Fabian
The Virtual Vehicle Competence Center
Autosim 6th Technology workshop
“Seventy percent of materials data becomes lost
and unavailable to future projects”.
This results in time-consuming and expensive re-tests to obtain
the necessary data for new designs.
Design knowledge must instead be captured and managed for
reuse.
The Web allows this knowledge to be shared globally, supporting
the ‘Design Anywhere, Build Anywhere’ business climate (Figure 1).
Material data management
Figure 1 – Drivers for Engineering Knowledge Management
Source: MSC.Enterprise Mvision, AH Fairfull,
“Moving from a simple ‘database’ concept to a ‘data
plus methods base’.”
Many teams within a company – for example, manufacturing,
design and engineering – all have the basic need for materials data.
Each team will certainly require unique views and interpretations of
the same data.
The benefits are clear, in moving up the progression from data
management towards information and knowledge management (Figure 2).
Material data plus methods
Figure 2 – Different Data „Views“ for Each User Group
Source: MSC.Enterprise Mvision, AH Fairfull,
Benefits of material data bases
need for traceability has been a key driver for many commercial
materials data management projects
Increase collaboration between your engineering teams by
providing easy access to updated materials information.
Save time and money otherwise spent on re-testing by allowing
you to retain and re-use corporate materials knowledge.
Make better materials selection decisions by providing web-based
access to the powerful querying and data manipulation capabilities of a MDM system.
Definition of different views of the same data, to reflect the needs
of users in different functions or manufacturing teams.
Provides access control by user or by group, even to different
subsets of the same databank.
1. Interfaces to material data bases
Which material data must be available for the simulation
engineer?
Which material data bases must be connected to a simulation data
management system?
Which material data are interesting for the simulation engineer at
which point of time?
Which material data bases could be merged?
How could be reduced the number of material data bases for each
OEM at supplier site?
How could be reduced the number of material data sets for each
unit system, solver and OEM?
2. Handling of connecting links
How can be handled connecting links in simulation data
management systems?
How can be replaced connecting links through mathematical
3. Material models
Which material models must be provided for the simulation task?
Which load case needs which material model?
Failure / Fracture / Damage - most materials across all load cases;
understanding the differences and how to best model them in CAE, choice of parameters, etc. (Knowledge Based Engineering)
Usage of individual material models, with non-standard
description (e.g. user_mat functions to link self-developed material models) and integrate them easily in the applications.
Interfaces between MDM and SDM
4. Manufacturing Simulation
Simulation of material parameters, e.g. in injection processes, the
orientation of the fibers are calculated which influence the global behavior of the resulting material.
Consideration of manufacturing effects (e.g. deep drawing of
sheet metal) for crash / endurance strength simulation.
Example: Differences in the thickness of sheet metal parts
caused by manufacturing process can decline the simulation results.
Example: Consideration of special heat influence areas
caused by alloy welding.
5. Knowledge based engineering
Assignment of material models (Selection of the right
mathematical formulations of the material model for the used simulation load case).
6. Simulation data management (SDM)
Deployment of country specific material interdictions.
Must deliver it the information, which materials are allowed to be
used in the development project?
Material data must be provided in the SDM system?
Design changes in PDM system must be communicated to
simulation engineer by SDM system.
Example: Designer changed the window pane to an infrared
beam adsorbing window pane. Therefore the simulation engineer must change his concept of air-conditioning.
