standard models operate from a universal input of 90 to 264V ac, providing
tightly regulated outputs of 3.3, 5, 8, 9, 12, 14, 15, 24, +5/+3.3, +8/+5 or
+12/+5 V dc. Standard features include filtering to EN55022 Class B, input/output
isolation of 3,000V ac, and tight line/load regulation. All models are
protected for over load, over voltage, and short circuit faults.
The MTBF (per MIL HDBK 217F) of the MPM-04 series is greater than 350 khours.
The MPM-04 has a Class II input (IEC61140).
This means it can be used without an earth
ground connection. All models are approved to EN 60950. The series is certified
to CE and is
The MPM-04 series is packaged in a
miniature PCB mount package. Each model is specified for operation over the
wide operating temperature range of -40 to +70C (ambient).
The MPM-04 series is a
solution for a variety of applications requiring high performance, miniature
size and low cost. Applications would include industrial automation systems,
machine/process control equipment, and telecommunications/data processing
systems. With its Class II input, the MPM-04
series is a good choice for remote or portable equipment where a reliable
ground is often not available.
New versions of BASF's Ecovio line are both compostable and designed for either injection molding or thermoforming. These combinations are becoming more common for the single-use bioplastics used in food service and food packaging applications, but are still not widely available.
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.