Baumer's IWRR/IFRR Inductive Sensors are for
object detection and distance measurement up to 12 mm. Designed for outdoor
applications exposed to harsh environments the IP67 and IP69-rated sensors are
completely sealed against moisture and contaminants to withstand temperature
ranges from -40 to +80C.
digital and analog versions, IWRR and IFRR inductive sensors are for use in
highly-demanding environments that involve changing temperature conditions. Due
to their impermeability, these low-maintenance sensors have an expected MTTF
greater than 100 years. As the sensors resist long-term exposure to salt water,
oils and aggressive detergents, they are suited to the demands of on- and
off-shore wind turbines. The sensors are available with IP69-rated V4A
stainless steel housings for strenuous offshore environments or IP67-rated
nickel-plated brass housings for onshore applications. Digital inductive
sensors are mainly used to detect nacelle position and rotor speed. Measuring
sensors are applied for brake monitoring and shaft deflection.
IFRR Inductive Sensors are useful in applications such as heavy vehicles
including refuse collection and forestry machines, solar wafer manufacturing,
the rail industry, and applications exposed to challenging outdoor environments
with high and low ambient temperatures.
At the Design News webinar on June 27, learn all about aluminum extrusion: designing the right shape so it costs the least, is simplest to manufacture, and best fits the application's structural requirements.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.