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CURRENT & FUTURE TECHNOLOGIES IN AUTOMOTIVE ENGINEERING SIMULATION
From this, a further trend has been generated (red curve) showing the time
period offering the best return of investment for use of sophisticated
materials characterisation. In other words, there appears to be a point
around one-third into the development process when use of best practice
has the most positive influence on the final product design. This time may
vary individually for different OEMs due to different development processes.
However, it could also be argued that in some cases, e.g., crashworthiness
analysis, it is essential to use best practice materials characterisation as
early as possible in the development process. For example, strain rate
sensitivity of certain materials may be critical to the design; simple models
omitting these effects may give a false impression. Including the effects of
the manufacturing process may also be significant. In particular, the use of
the best material model available is very important in every development
phase for system responses that are likely to show bifurcations in response.
Similarly, use of “generic” data rather than data specific to a material for a
particular supplier may not allow the correct design choices to be made –
the involvement of the supplier at the earliest stage may be crucial. These
are important considerations in the move towards “up front” simulation (see
Section 4.2).
Modelling cost must also be acknowledged here as many decisions on
materials characterisation are necessarily cost constrained. Cost comprises
many aspects including data generation (testing and data capture), material
model development, model pre-processing effort and solver processing
time.
4.3.5 Breakthrough Technologies—How to identify them?
The discussion of best practice in materials characterisation (and the
related cost constraints) leads to the question of what constitutes a
breakthrough technology.
European research programmes on materials for automotive applications,
such us EuMaT (European Technology Platform for Advanced Engineering
Materials and Technologies), STEP (European Steel Technology Platform)
and ERTRAC (European Road Transport Research Advisory Council) all
identify material modelling as a strategic tool for the development of high
added value components with improved performance and tailored
properties, that can be used to strengthen the competitiveness of the
automotive industry. To achieve this, we propose not only conventional, but
also new materials (developed with the aid of modelling methods). These
new materials could combine classical properties with new ones, such as
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SIXTH FRAMEWORK PROGRAMME PRIORITY [6.2] [SUSTAINABLE SURFACE TRANSPORT]
012497 AUTOSIM