The new KNF Type
NF1.60 micro diaphragm pump is a compact high-pressure solution that delivers
flow rates up to 650 ml/min, self-prime to 8.86 in. Hg suction and operates
against pressures up to 87 PSI both intermittently and continuously over the
entire lifetime of the pump. Type NF1.60 pumps integrate a valve system with
precise valve structures and additionally benefit from sophisticated diaphragm
technology. They can be powered either by a brush-commutated dc motor or
brushless dc motor to promote extended service life. Pumps run dry and can be
mounted in any position.
pumps are chemical resistant resulting from the use of PP, PTFE, EPDM and FFMP
materials for components that will come into contact with the pumped medium.
Most neutral and aggressive liquids can be handled without risk of corrosion or
other damage. A wide range of standard voltages and frequencies can be
specified. Specialized complementary accessories can be supplied, including
diaphragm pressure control valves, pulsation dampers, tubing and shock mounts.
Custom products can be developed for particular OEM
application requirements. Typical OEM applications include medical devices,
analytical instruments, fuel cells, inkjet printers, semiconductor operations,
cleaning and disinfection devices, and water treatment systems.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.