Nextreme Thermal Solutions' eTEG HV37 thermoelectric power generator converts
waste heat into electrical energy for a variety of self-powered applications in
the wireless sensor, automotive, aerospace, industrial and medical device
HV37 is capable of producing 1.0 mW of output power and an open circuit voltage
of 170 mV at a 10K-T in a footprint of 6 mm2.
At 50K -T, the HV37 produces 24 mW of power and an open circuit voltage
is 0.6mm high and can be configured electrically in series to produce higher
voltage and power outputs.
Nextreme's eTEG devices generate electricity via the
Seebeck Effect where a voltage is produced from the temperature differential
produced by heat flow through the device.
voltage output of the HV37 is enabled by Nextreme's proprietary micro-scale
thermoelectric technology. Certain applications (e.g., generating power off the
heat of the human body, or generating power for wireless sensors) require a
high density of thermoelectric elements in order to generate power at low
temperature differentials. Nextreme's patented thermal bump fabrication process
can achieve thousands of elements per square centimeter.
HV37 is a replacement module for the eTEG UPF40, Nextreme's first thin-film power generator.
The HV37 has similar power characteristics to the UPF40, but with much higher
output voltage in a smaller footprint. The new module is RoHS-compliant and
manufactured using eutectic gold-tin solder, which enables assembly temperatures
as high as 320C.
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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 discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.