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Titel: High‐Speed Antagonistic Shape Memory Actuator for High Ambient Temperatures
VerfasserIn: Britz, Rouven
Rizzello, Gianluca
Motzki, Paul
Sprache: Englisch
Titel: Advanced Engineering Materials
Bandnummer: 24
Heft: 9
Verlag/Plattform: Wiley
Erscheinungsjahr: 2022
Freie Schlagwörter: antagonistic actuator system
high temperature
injection molding
miniaturized actuator system
shape memory alloys
valve
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: This work presents the development of an innovative shape memory alloy (SMA) actuator principle, which allows high-speed switching cycles through the decoupling of antagonistically arranged SMA wires. Being optimized for the use at high ambient temperatures up to 65 °C, a possible application area is the active venting of injection molds where it can be used to expel air, which is trapped during the injection mold process. The patented actuator principle is based on a decoupled agonist–antagonist SMA-spring system and allows a high-speed closing movement by a compact and lightweight design. Another innovation compared to conventional antagonistic SMA actuator systems is the integrated fail-safe mechanism, which guarantees a defined closed state in case of power failure. Subsequently, in the motivation the need for active venting valves for injection molding is first described. Second, the novel actuator principle is introduced, and the development of an electronics concept is discussed. Finally, the design process, assembly, and validation of two iterations of the actuator prototype are presented. The final prototype validation measurements showcase high performance by valve strokes of 1 mm within 100 ms at ambient temperature of 65 °C.
DOI der Erstveröffentlichung: 10.1002/adem.202200205
URL der Erstveröffentlichung: https://onlinelibrary.wiley.com/doi/10.1002/adem.202200205
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-376531
hdl:20.500.11880/34068
http://dx.doi.org/10.22028/D291-37653
ISSN: 1527-2648
1438-1656
Datum des Eintrags: 18-Okt-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Stefan Seelecke
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons