TY - JOUR
T1 - Modeling and design optimization of a bimorph-driven rotary motor
AU - Frank, Jeremy E.
AU - Mockensturm, Eric M.
AU - Koopmann, Gary H.
AU - Lesieutre, George A.
AU - Chen, Weiching
AU - Loverich, Jacob Y.
PY - 2003
Y1 - 2003
N2 - A bimorph-driven rotary motor has been developed, and demonstrated in a flow-control actuation application. A rotary (roller) clutch rectifies bimorph-powered oscillation into rotational motion to convert electrical to mechanical power. Through a progression of varied designs, the development process was based on experimentation and engineering intuition. The resulting motor satisfied the application requirements, and thirty-two actuators were supplied. To further exploit the possibilities of the bimorph-driven motor concept, a mathematical model was developed. Using empirical data collected from a prototype actuator and a roller clutch, the mathematical model was adjusted so that it predicted the power output of the prototype. The model was then used to tune the design parameters using nonlinear optimization techniques. The results predicted that the power density could be increased by more than 30 times. An improved prototype based on the optimization results demonstrated a significant performance improvement over the original design. Though the predicted improvement was not achieved, the power density was increased by a factor of 10.
AB - A bimorph-driven rotary motor has been developed, and demonstrated in a flow-control actuation application. A rotary (roller) clutch rectifies bimorph-powered oscillation into rotational motion to convert electrical to mechanical power. Through a progression of varied designs, the development process was based on experimentation and engineering intuition. The resulting motor satisfied the application requirements, and thirty-two actuators were supplied. To further exploit the possibilities of the bimorph-driven motor concept, a mathematical model was developed. Using empirical data collected from a prototype actuator and a roller clutch, the mathematical model was adjusted so that it predicted the power output of the prototype. The model was then used to tune the design parameters using nonlinear optimization techniques. The results predicted that the power density could be increased by more than 30 times. An improved prototype based on the optimization results demonstrated a significant performance improvement over the original design. Though the predicted improvement was not achieved, the power density was increased by a factor of 10.
UR - http://www.scopus.com/inward/record.url?scp=0042888981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0042888981&partnerID=8YFLogxK
U2 - 10.1177/1045389X03034682
DO - 10.1177/1045389X03034682
M3 - Article
AN - SCOPUS:0042888981
SN - 1045-389X
VL - 14
SP - 217
EP - 227
JO - Journal of Intelligent Material Systems and Structures
JF - Journal of Intelligent Material Systems and Structures
IS - 4-5
ER -