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Titel: Piezoelectric MEMS Linear Motor for Nanopositioning Applications
VerfasserIn: Ruiz-Díez, Víctor
Hernando-García, Jorge
Toledo, Javier
Ababneh, Abdallah
Seidel, Helmut
Sánchez-Rojas, José Luis
Sprache: Englisch
Titel: Actuators
Bandnummer: 10
Heft: 2
Verlag/Plattform: MDPI
Erscheinungsjahr: 2021
Freie Schlagwörter: traveling wave
standing wave
bidirectional linear motion
conveyor
nanopositioning
piezoelectric
AlN
MEMS
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: This paper reports the design, fabrication, and performance of piezoelectric bidirectional conveyors based on microelectromechanical systems (MEMS) and featuring 3D-printed legs in bridge resonators. The structures consisted of aluminum-nitride (AlN) piezoelectric film on top of millimeter-sized rectangular thin silicon bridges and two electrode patches. The position and size of the patches were analytically optimized for travelling or standing wave generation, while the addition of 3D-printed legs allowed for a controlled contact and amplified displacement, a further step into the manufacturing of efficient linear motors. Such hybrid devices have recently demonstrated the conveyance of sliders of several times the motor weight, with speeds of 1.7 mm/s by travelling waves generated at 6 V and 19.3 kHz. In this paper both travelling and standing wave motors are compared. By the optimization of various aspects of the device such as the vibrational modes, leg collocation and excitation signals, speeds as high as 35 mm/s, and payloads above 10 times the motor weight were demonstrated. The devices exhibited a promising positional resolution while actuated with only a few sinusoidal cycles in an open-loop configuration. Discrete steps as low as 70 nm were measured in the conveyance of 2-mg sliders.
DOI der Erstveröffentlichung: 10.3390/act10020036
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-334456
hdl:20.500.11880/30751
http://dx.doi.org/10.22028/D291-33445
ISSN: 2076-0825
Datum des Eintrags: 1-Mär-2021
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Helmut Seidel
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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