Electroactive Polymer (EAP) Actuating A Dust Wiper and Miniature Robotic Arm
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Engineering topics
Publications and source records attributed to Bar-Cohen, Y..
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The development of NDE techniques has always been driven by the ongoing need for low-cost, rapid, user-friendly, reliable and efficient methods of detecting and characterizing flaws as well as determining material properties.
Rapid inspection of large areas has been an ongoing challenge to the NDE community.
Inspection in field conditions is labor intensive, demands great attention to details, subject to human errors and the realiability is limited.
This reported study is concentrating on the development of effective EAPs and the resultant enabling mechanisms employing their unique characteristics.
This chapter presents an introduction to ionic-polymer-metal composites and some mathematical modeling pertaining to them.
This paper presents an introduction to ionic-polymer-metal composites and some mathematical modeling pertaining to them.
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Actuators are used for many planetary and space applications. To meet the NASA goal to reduce the actuators size, mass, cost and power consumption, electroactie polymers (EAP) are being developed to induce large bending and longitudinal actuation strains.
The phenomenon of Leaky Lamb Wave (LLW) in composite materials was first observed in 1982 using a Schlieren system. It has been studied extensively by numerous investigators and successfully shown to be an effective quantitative NDE tool.
Composite materials are now making a significant percentage of flaw critical structures, such as aircraft and spacecraft.
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Actuation devices are used for many space applications and there is increasing need to reduce their size, mass, cost and power consumption.
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Leaky Lamb Wave (LLW) propagation in composite materials has been studied extensively since it was first observed in 1982. The wave is induced using a pitch-catch arrangement and the plate wave modes are detected by identifying minima in the reflected spectra to obtain the dispersion data.