capture data and display/process it. The
software tools that can support this are many
and varied. Many machine tool makers
already have their own software tools, but to
offer a factory-wide, uniform solution that
takes in third-party machines and equipment
is the clear need for any widescale adoption
of a software solution from, at least, a
machine tool builder source. It was a
message that DMG Mori (https://is.gd/
equmos) was hammering home (p14) at EMO.
With its DMG Mori Messenger, for the very
rst time CELOS functionality not only for
DMG Mori machines but for all devices on the
shop oor is offered. CELOS is the company’s
browser and app-based CNC front-end.
Messenger now makes simple machine data
recording possible and provides an open
database for third-party software to access it.
Customers can see all relevant machine
Robots at every turn
status information at a glance.
But pure software rms obviously offer
solutions for machine data collection, its
display and analysis. One of those at EMO was
Finnish company Zyfra (https://mdc-plus.com)
and its MDCPlus software, a real-time machine
monitoring and manufacturing data collection
system. Collected data and its analysis allows
for overall equipment effectiveness to be
driven up. But a new tweak from the company
was the use of arti cial intelligence (AI) to the
speci c task of tool life prediction. For
example, based on historical data for one
month, the model can give a prediction of tool
life on a 15-minute horizon to a prediction
accuracy of 85%.
AI in predictive maintenance is also within
Zyfra’s sights. Says Andrey Lovygin, ZYRA’s
international business development director:
“Predictive maintenance solutions do not have
Our EMO coverage on p14 highlights the automation message from DMG Mori and Yamazaki
Mazak, but robots to be seen everywhere at EMO. South Korea’s SMEC (Dugard, https://is.
gd/ixuhad) had a Hanwha cobot (Dugard) serving two machines; Doosan (Mills CNC, https://
is.gd/edocag) showed of its mobile/autonomous cobot unit (see also p26); DMG Mori had
one of those, too (p14), as did Makino with its iAssist mobile/autonomous Kuka cobot unit
and FANUC – Almost every FANUC machine was automated with a conventional or
collaborative FANUC Robot. Independent robot-based automation suppliers were also in
evidence. Dutch rm Halter (ETG, https://is.gd/ulufay) with its new 70 kg capacity machine
loading/unloading system; Germany’s Industrie-Partner’s Robo Operator (www.ip-coswig.de),
moveable between machines and, unusually, offered on a rental basis; plus another Dutch
rm, Cellro (https://cellro.com), which is actually 15 years established, that also had a 70 kg
robot-based loading/unloading development to show, part of its Xcelerate family.
Industrie-Partner’s Robo Operator,
moveable between machines and,
unusually, offered on a rental basis
a signi cant presence in discrete batch
manufacturing,” and adds: “AI-based
solutions in the sector are more like
research projects than working products.
Zyfra has connected over 8,000 machine
tools. As a result of our work, with all the
data now accumulated, we are able to offer
the market our new Predictive Maintenance
solution.”
ARTIFICIAL INTELLIGENCE HERE
AI is de nitely creeping into the Industry
4.0 scene. Mazak (https://is.gd/otocah)
introduced its SmoothAi CNC (p14), for
example. Siemens’ AI offering is its
‘Analyze MyWorkpiece /Vision Edge’
application. Based on AI, this detects
whether the right workpiece is in the correct
position.
FANUC employs AI in its ‘Smart Feed
Axis Acceleration/ Deceleration’, a function
that determines the actual moment of
inertia of the workpiece during operation
and adjusts the optimal acceleration of the
servo motor. Its ‘Servo Learning Oscillation’
is a software function useful when turning
and supports prolonged, automated
operation. This oscillates the tool, reducing
chip size, preventing ‘birds nesting’. And
FANUC’s AI Servo Monitoring analyses and
evaluates work spindle data, or any servo
data, with AI comparing recorded data with
normality to propose maintenance
measures where adjustable threshold
values are exceeded.
INDUSTRY 4.0 & AUTOMATION INTERFACE DEVELOPMENTS & MORE
24 November 2019 www.machinery.co.uk @MachineryTweets
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