Balancing Productivity and Product Quality in Welding
Conference poster, 2016
The use of Design of Experiment (DOE) can have vast
impact on the measurement need. A study conducted at
Volvo CE by Hammersberg and Olsson was aiming at finding
settings for parameters influencing weld toe radii, throat size
and penetration. The performed DOE concluded a process
window where all three requirements were achieved.
The parameters identified were related to the welding
geometry rather than the commonly varied welding
parameters. Positioning of parts and weld torch as well asgap
size had larger impact than productivity parameters such as
amperage and weld speed. This is surprising since most
investigations do not uncouple parameters for weld geometry
from those controlling productivity.
A possibility to control the weld quality by adjusting indirect
parameters independently from the productivity emerges.
From an inspection perspective that is very influential. In the
studied case that means monitoring angles and gap size
proactively before welding instead of inspecting weld toe
radii, throat size and penetration after welding in a reactive
manner. There are difficulties connected to the measurement
of penetration and weld toe radius. It is in comparison
relatively easy to control angles and gap sizes.
This observation means new challenges for the organization
on the meta-level. It seems necessary to have incremental
improvement of competence and joint understanding and to
have a critical mass of people having the same view. Not until
7 years after the first study of lack of measurement precision
the organization was ready, as an organisation, to apply the
optimized design of experiment, even though single
individuals were trained earlier. When educating the team as
a team the best results were achieved, probably because a
common language and new culture emerged. This indicates
that the challenge of improved welding performance lay in the
elevated organisational plane, rather than on individual
competence and technology level. This research addresses the
corner stones for welding process development that turns the
perspective around from average to variation, regarding
balancing process performance and product quality
assurance.