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CURRENT & FUTURE TECHNOLOGIES IN AUTOMOTIVE ENGINEERING SIMULATION
provide a means of grading the skills of numerical analysts but it would
appear that the scheme is largely unheard of around Europe and is not
recognised within industry. Future promotion of this scheme may help to
establish it as a staff training best practice.
Often analysts encounter barriers in attending courses because of the time
and resources that this involves. This problem is partly attributed to the fact
that the value of training and attendance on courses is not fully appreciated
by managers and decision makers within organisations. It is important that
personnel within organisations that have authority to sign off the resources
for training and course attendance have a better appreciation of the return
in value that this will provide. Also in the future greater use should be made
of the internet/web to deliver courses and training which would help to
alleviate the resources and time typically involved in attending courses and
training programmes. This is a concept which appears to be gaining
momentum with organisations such as NAFEMS regularly holding webinars
in order to communicate knowledge and training to a larger global audience.
The concept of ‘up-front’ simulation has been discussed at length in the Key
Technology area of Integration in the AUTOSIM project. One interpretation
of this concept is that FEM tools embedded in CAD systems are used to
analyse and optimise designs at earlier stages of the design process. In
view of the extensive training that numerical analysts receive in order to
develop competent skills it appears impractical, because of other work
commitments, that designers could be trained to a competent level to carry
out numerical analysis studies. It is envisaged that a more practical
approach to resolving this particular aspect of upfront simulation is more of
an organisational than a training issue. The proposed approach is that
designers should have a basic understanding of numerical methods, but
competent trained analysts should be used to support them in carrying out
numerical studies. Even today’s software tools are equipped with features
such as process automation, rules for meshing and material databases that
could be used to support designers in carrying out correct CAE analysis
studies.
4.4.6 Material Data (Data validity)
4.4.6.1 Material Data – Current/Best Practices
The accuracy and detail of available material data has an important
influence on the accuracy of the predictions that are obtained from a
numerical model. In terms of the practical application of material data it is
understood that it is often necessary to estimate coefficients for material
models because of the limited availability of good quality material data. The
decisions for these estimates are typically based on engineering experience
and knowledge. However, this practice will still affect the accuracy of the
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SIXTH FRAMEWORK PROGRAMME PRIORITY [6.2] [SUSTAINABLE SURFACE TRANSPORT]
012497 AUTOSIM