ity, collision avoidance and auto-
path generation kinematics that use
electronic CAD Model and Welding
Process Planning data. A gap analysis
of the required changes between Bol-
linger’s current processes and the ge-
neric industry CAR-W process map
was developed by the team. Today,
says Fanguy, “We are developing a
roadmap of alignment for other ship-
yards to follow. Finally, the project
will attempt to leverage and help de-
velop an electronic infrastructure that
captures critical process knowledge
(in electronic data form) related to
welding so that it can be electronically
leveraged by designers for Design For
Robotics (DFR) applications, as well
as by process planners and engineers.”
Unspoken in all of that, it is also true
that process data capture and trans-
fer of welder knowledge is a critical
risk associated with the aging weld-
ing work-force and welder workforce
shortage in the shipbuilding industry.
SSI eagerly agreed to participate
in the project. That’s because, Pat
David told MarineNews, “First and
foremost, what makes us unique in
our own space is that we are an Au-
toCad based product. There are far
more qualifi ed people out there who
could utilize this software. Secondly,
our costs are much lower overall as a
product – more functionality, more
capability, delivered to a designer at a
lower price point than any of the oth-
er options. We’re proactive, we have
good relationships with the yards and
a lot of us used to work in these yards
with the people that are still there. We
know what they need and why.”
Beyond this, says David, SSI tries to be
as agnostic as is possible when it comes
to data requirements. Dealing with data
built in other software would be a small
step for the robot to convert that data.
He adds, “It’s not a huge issue.”
But before anyone spent any money,
NSRP asked SSI and its collabora-
tive robotic team to clarify a couple of
things. One of those things was what
kind of return on investment would the
shipyard see and how long would that
take? David explains, “So, we went to
Bollinger to investigate what they were
doing with current weld processes so
we could understand where we could
realize the most savings for them. We
asked: what kind of welds to you do,
how big, how often, and what kind of
manpower does it take to accomplish
that? We determined the most com-
mon type of weld that would have the
most impact against the lowest capital
cost to implement for the project. We
targeted those types of welds.”
Nuts & Bolts: hardly ...
Already up and running and pro-
ducing real results in Bollinger’s, the
workfl ow starts in ShipConstructor by
automatically identifying the welds in
the ShipConstructor 3D CAD model.
The ShipConstructor user then uses
an interactive 3D visual drawing to
confi gure the weld properties such as
the weld standard and includes weld
breaks, weld pitch, etc. The weld infor-
mation and various other relevant data
(e.g. geometry of panel to be welded)
is exported to Wolf Robotics via SSI’s
EnterprisePlatform. The operator on
the shop fl oor reads the fi les generated
in Robot Studio which runs a path
planning algorithm that evaluates sev-
eral collision avoidance scenarios.
The effort was an R&D project for
SSI, says David, so the end benefi t
for his fi rm is probably a little further
down the road than that which Bol-
linger is now enjoying. But that doesn’t
mean that SSI isn’t happy with what
TECHNOLOGY
Funding Project Schedule
Total Amount of the Agreement:
$6,242,301
Three Phases:
Estimated NSRP ASE Project Funding:
$3,498,553
Phase 0 (April 2015 – Julittle abne 2015)
Total Estimated Recipient Cost Share:
$2,743,748
Phase I (July 2015 – July 2016)
Total Funds Obligated (Phase 0, 1, and
2): $3,498,553
Phase II (August 2016 – August 2017)
NSRP CAR-W Project ... at a glance
SHIP
CONSTRUCTOR
DRI VES
AUTOMATIC
W
ELDING
R
OBOTS
SHIP
CONSTRUCTOR
DRI VES
AUTOMATIC
W
ELDING
ROBOTS
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