What if your furnace could …
… tell you that it isn’t operating correctly?
… tell you when a vacuum pump rebuild is going to be
necessary?
… tell you that you are at risk of experiencing
discoloration in the next cycle?
… tell you that you will not pass the leak back test in
three weeks?
What if your furnace could warn you about a heating
element failure, order the part and schedule the service
needed to install it?
These
what ifs
are the motivating drivers pushing predictive
maintenance technology to the forefront of product
development and maintenance strategies for industries across
the globe. And, in the near future, customers are going to
expect all heat treatment furnaces to be capable of
leveraging the Internet of Things to perform such analysis.
Currently in the thermal processing industry, when a heat
treatment furnace breaks, the result is clear: production comes
to a grinding halt and the personnel necessary to resolve the
issue might not be readily on hand. As a result, companies are
faced with unplanned downtime until the problem is resolved,
potential overtime wages for the necessary personnel, the cost
of rushing critical part shipments and more.
In an effort to combat this issue, the ultimate goal of predictive
maintenance and Ipsen’s PdMetrics™ software platform for
predictive maintenance is to ...
Optimize Thermal Processing Operations with ...
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Achieve powerful performance, experience
cutting-edge technology and utilize
predictive maintenance capabilities in a
single, compact vacuum furnace: the
TITAN
®
2.0. This furnace incorporates
years of customer feedback to deliver
improved, user-friendly features, all
while maintaining a global platform,
small footprint and short delivery times.
• Available in horizontal,
2-bar models
• Includes PdMetrics™ software
platform for predictive
maintenance and diagnostics
• Features intelligent SCRs
(silicon-controlled rectifiers) for
efficient heating control
• Incorporates a high-
definition display with a
touchscreen and scrolling
marquee, making critical
furnace parameters
visible from a distance
Predictive Maintenance
PdMetrics
™
www.IpsenUSA.com/Predictive-Maintenance