For the gadget freak who thinks he has everything, here's Ed Nauman's microprocessor-controlled, pneumatic-actuated can crusher. Great for parties, it consists of a pneumatic ram, precision bore crushing cylinder with aluminum crushing piston, two pneumatic rams to control the loading of cans, and solenoid valves to control the rams.
Operationally, the user simply loads the cans into the magazine, opens the pneumatic ball valve to charge the surge tank, places the rotary mode switch in either auto or manual, and presses the run switch. In full auto mode, the crusher loads and crushes cans at the blinding rate of 1.5 cans/second. That's a lot of six packs!
Ultimate Beer Can Crusher Control Unit Parts List
Allied Part #
Optical proximity sensor
2X16 LCD Display
RS232 Interface Chip
3 Terminal Linear Regulator
Solid State Relay
330 Ohm Resistor
Small Signal Diode
Additional parts required: Control board: Microchip PIC 16F876 microcontroller and programmable oscillator; Other: 3 pneumatic rams; precision bore crushing cylinder with aluminum crushing piston; 3 pneumatic solenoid valves; steel frame with pneumatic surge tank, air preparation filters and regulators.
For Ed Nauman's complete instructions to build your own Ultimate Beer Can Crusher, click here (Zip file contains AutoCAD drawing and Visual Basic File)
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
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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.