|
NDT Research
Saferay Project
ChainTest Project
Polytec Project
ROBAIR Project
FilmFree Project
LRUCM Project
OLIWAM Project
|

OLIWAM
Project
The automotive industry sector is a vital part of the European
economy. The EU is the largest automotive production region in
the world with 34% of global manufacture and the industry
comprises 7.5% of all manufacturing sectors within the Union.
The increasing demand for improved fuel efficiency and reduced
emissions at lower, competitive costs, have prompted the
automotive industry to seek ways of reducing the weight by using
new lightweight materials, new joining processes and new
manufacturing concepts. Due to pioneering work in the industry,
the use of lasers for production welding of Tailor-Welded Blanks
(TWBs) and Body-In-White (BIW) structures is now common
practice.
Current weld quality
monitoring and inspection techniques for these applications are
often difficult in their application, performed off-line, and
are therefore time-consuming and expensive. Moreover, current
NDT inspection and tear-down, in which a fully assembled car is
put through a controlled crash, is only a sampling test, as not
all parts can be inspected individually. Because of the
implications on the human and economic costs of the currently
applied procedures, major vehicle manufacturers would prefer to
have an NDT record for each weld. It is also the intention of
performing this testing on-line, as 100% inspection using
current off-line procedures is economically not viable.

The OLIWAM system concept
This
pre-competitive project developed a new, fast, monitoring and
NDT inspection system, the OLIWAM system, to be used on-line,
providing a 100% inspection rate for thin-sheet laser welded
automotive components. The system's software allows
on-line evaluation of the results, with remedial actions, if
any, taken immediately, significantly reducing repair costs and
scrap rates. Generic concepts for up to a further four NDT
inspection systems will also be developed to further facilitate
fast, reliable on-line detection of weld imperfections.
Research and Development
|