Towards new processes to reverse engineering digital mock-ups from a set of heterogeneous data
Résumé
Reverse-Engineering techniques are commonly used to generate or update the CAD model
of a single physical object. However, the reverse engineering of a whole assembly is still very
tedious and time-consuming. This is mainly due to the fact that the complete definition of the
final digital mock-up relies on the integration of multiple sources of heterogeneous data, such
as point clouds, images, schemes or any type of digital representations which are not yet fully
supported by actual software. Thus, having new methods and tools to better process and
integrate those multi-representations would speed up the reconstruction process which could
therefore become adapted to the reconstruction of large mechanical assemblies such as in
automotive field. This paper addresses such a difficult problem. Actually, starting from an
analysis of three different use-cases, we first highlight the lack of software solutions for the
considered problematic. Then, the proposed process-workflow is introduced together with the
advanced mechanisms involved in the reconstruction. In our approach, the signatures of the
components play a key role in the identification of the relationships and matching procedures
between the heterogeneous data. This process-workflow is illustrated on an example in the
automotive domain.
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