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CURRENT & FUTURE TECHNOLOGIES IN AUTOMOTIVE ENGINEERING SIMULATION
Fig. 4.3.6.1: Key Aspects of Materials Characterisation
(courtesy of Dr Paul Wood, University of Warwick)
4.4 Improving Confidence in the Use of Simulation
4.4.1 Introduction
Confidence has a considerable influence on the uptake and use of CAE
models. It is reliant on good material information and is necessary for the
successful integration of CAE within the design and engineering process.
Without confidence a model has no obvious benefit or value.
Six principal factors that contribute to the development of a successful CAE
model, which is capable of guiding engineering research and design
decisions, are highlighted in Fig.4.4.1.1. These factors affect model
confidence and cover a broad range of topics as follows:
• The Physical model - Subjective and rational validation, integration
of the modelling with test departments, standardisation of models to
ensure the repeatability and reliability of test data/test corridors.
• Human resources and organisation - Quality control and
capitalisation, detection of modelling errors, staff training and
existing staff skills.
• Data validity - Reliability/confidence in experiments, availability of
geometrical and material data.
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SIXTH FRAMEWORK PROGRAMME PRIORITY [6.2] [SUSTAINABLE SURFACE TRANSPORT]
012497 AUTOSIM