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Engineering design framework for a shape memory alloy coil spring actuator using a static two-state model

delete2012-04-24
delete165
PRE
AI
S
Sungmin An *
J
Junghyun Ryu
M
Maenghyo Cho
K
Kyu‐Jin Cho
DOI:10.1088/0964-1726/21/5/055009delete
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摘要

摘要

En 中文
A shape memory alloy (SMA) coil spring actuator is fabricated by annealing an SMA wire wound on a rod. Four design parameters are required for the winding: the wire diameter, the rod diameter, the pitch angle and the number of active coils. These parameters determine the force and stroke produced by the actuator. In this paper, we present an engineering design framework to select these parameters on the basis of the desired force and stoke. The behavior of the SMA coil spring actuator is described in detail to provide information about the inner workings of the actuator and to aid in selecting the design parameters. A new static two-state model, which represents a force-deflection relation of the actuator at the fully martensitic state (M-100%) and fully austenitic state (A(100%)), is derived for use in the design. Two nonlinear effects are considered in the model: the nonlinear detwinning effect of the SMA and the nonlinear geometric effect of the coil spring for large deformations. The design process is organized into six steps and is presented with a flowchart and design equations. By following this systematic approach, an SMA coil spring actuator can be designed for various applications. Experimental results verified the static two-state model for the SMA coil spring actuator and a case study showed that an actuator designed using this framework met the design requirements. The proposed design framework was developed to assist application engineers such as robotics researchers in designing SMA coil spring actuators without the need for full thermomechanical models.
Keyword:
CONSTITUTIVE MODEL
BEHAVIOR
DEFORMATION
FABRICATION

期刊

Smart Materials and Structures 封面图
Smart Materials and Structures
IF:
3.8
论文数:
8.5K
被引数:
2.5W

机构

S
seoul national university (snu)
学者数:
7.2W
论文数: 6.6W
被引数: 86
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