Zobrazeno 1 - 3
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pro vyhledávání: '"Raed Z. Hassan"'
Publikováno v:
ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2.
This paper quantifies statistical variations in model predicted machining forces while cutting aluminum, carbon steel, stainless steel and titanium. An accurate estimate of the variability is essential for use in process planning to determine appropr
Autor:
Raed Z. Hassan, Robert B. Jerard, Chris A. Suprock, Barry K. Fussell, Jeff Nichols, Donald Esterling, Yanjun Cui
Publikováno v:
ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2.
This paper describes recent research progress at the University of New Hampshire in the area of “Smart Machining Systems (SMS)”. Our approach to SMS is to integrate models with wireless embedded sensor data to monitor and improve the machining pr
Publikováno v:
ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1.
A low cost, wireless vibration sensor system has been developed for noninvasive integration into commercial end milling tool holders. Electret based accelerometers are used as the sensors and a Bluetooth compatible digital transmitter is used as the