Burkert released its new 8030HT paddle-wheel flow sensor with a 316 stainless steel paddle-wheel. The new nonmagnetic paddle-wheel, a change from Burkert’s previous PVDF paddle-wheel, can now withstand temperatures up to 320F and pressure up to 580 psi and is corrosion resistant. The 8030HT also has a velocity range of 1.64 ft/sec to 32.8 ft/sec.
The flow sensor comes in two versions: the three-wire powered sensor and the two-wire self-powered sensor. The powered version has an output frequency pattern of a square wave and can be transmitted over lines of up to 150 ft. The self-powered version has an output frequency pattern of a sine wave and is limited to transmissions of up to 30 ft.
Burkert's 8030HT paddle-wheel flow sensor is used for high-temperature liquid applications, specifically in water treatment and automotive industries. The design of this quarter-turn, in-line sensor allows for easy mount/dismount from the line without shutting down the system, by housing the electronics separately from the paddle-wheel sensor. The list price of the 8030HT ranges from $524 for the half-inch pipe size and $830 for the two-inch pipe size.
Burkert's new 8030HT in-line sensor with stainless-steel paddle-wheel
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.