The Linear
Inductive sensor detects the position of objects through the use of a resonant
positioning device. An emitter/receive coil system generates a high-frequency alternating magnetic field that activates the
resonator integrated into the positioning device. Each time the
transmitting coil stops transmitting, the resonator induces voltage into two
receiving coils inteÂgrated into the sensor. The voltage intensity depends on
where the positioning device overlaps the receiving coils. An integrated 16-bit
processor provides a corresponding proportional output signal in different formats:
0 to 10V, 4 to 20 mA, IO-Link or SSI. The
Linear Inductive position sensor was designed to have extremely short
blind zones of only 29 mm on each side, along with a wide temperature range of
-25 to 70C and the option to adopt the sensor by programming it to different
measuring ranges, allows users to dispense with special variants for specific
applications. Using only one sensor family for measuring ranges between 100 and
1,000 mm simplifies warehousing and helps users reduce their total cost of ownership.
Using
LI sensors for position detection is favorable over potentiometric or
magnetostrive devices due to their high accuracy (1 µm) and mid-range
price-tag. Although there are several options for position detection - ranging
from analog sensors, to incremental devices, to digital switches - not all of
these can be easily applied to short-range and long-range applications. Also,
unlike magnetorestrictive devices, TURCK's new Linear Inductive position sensor
does not use magnets. Magnetostrictive
and other similar technologies use magnets in their design that can experience
electromagnetic interference in industrial environments.
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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.
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