The robustness and accuracy of the
piezoelectric sensors of HBM's PACEline
series make them particularly suitable for measuring mechanical quantities such
as force and pressure in industrial applications. The new CMD600 digital charge
amplifier from HBM acquires signals from a connected sensor and makes them
available to a downstream machine control as an analog voltage signal (0 to Â±10V)
up to a measuring bandwidth of 30 kHz, or in digital form as measured
value streaming, via Ethernet. The CMD600 is compact, robust and noise-immune,
making it eminently suitable for industrial applications. All the usual
piezoelectric sensors can be operated with the charge amplifier. Sensitivity
and measuring range can be easily adjusted using the software, without loss of
accuracy, in a range of 1:10,000. Integration is especially user-friendly. The
"CMD Assistant" software included in the scope of supply allows the user to
configure the amplifier quickly and easily via the integrated Ethernet
interface. The "SensorTeach" function is a global innovation and is also
particularly convenient and efficient. The measuring range is scanned once.
Then the amplifier is automatically scaled to the determined minimum and
maximum values. A service tool ("stripchart") integrated in the software makes
it easy to display and record the measured values. The amplifier supports the
Transducer Electronic Data Sheet (TEDS), so downstream amplifiers can detect
and automatically use the measurement chain settings. The charge amplifier has
two digital outputs for applications in machine control, and these can be used,
for example, for rapid limit value control or peak value monitoring up to 10kHz.
Typical areas of application for the CMD600 are found in production, joining
and forming processes, in test benches for engines or gears, and in research
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
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Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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