학술논문

Topology Optimization of Shape Memory Alloy Actuators for Prescribed Two-Way Transforming Shapes
Document Type
Academic Journal
Source
Actuators. February, 2024, Vol. 13 Issue 2
Subject
Actuators
Shape-memory alloys
Language
English
ISSN
2076-0825
Abstract
This paper proposes a new topology optimization formulation for obtaining shape memory alloy actuators which are designed with prescribed two-way transforming shapes. The actuation behaviors of shape memory alloy structures are governed by austenite-martensite phase transformations effected by thermal-mechanical loading processes; therefore, to realize the precise geometric shape variations of shape memory alloy actuators, traditional methods involve iteration processes including heuristic structural design, numerical predictions and experimental validation. Although advanced structural optimization methods such as topology optimization have been used to design three-dimensional (3D) shape memory alloy actuators, the maximization/minimization of quantities such as structural compliance or inaccurate stroke distances has usually been selected as the optimization objective to obtain feasible solutions. To bridge the gap between precise shape-morphing requirements and efficient shape memory alloy actuator designs, this paper formulates optimization criteria with quantitatively desired geometric shapes, and investigates the automatic designs of two-way prescribed shape morphing shape memory alloy structures based on the proposed topology optimization method. The super element method and adjoint method are used to derive the analytical sensitivities of the objective functions with respect to the design variables. Numerical examples demonstrate that the proposed method can obtain 3D actuator designs that have the desired two-way transforming shapes.
Author(s): Kaike Yang [1]; Junpeng Luo [1]; Zhaoting Yuan [1]; Wenjing Ma [1]; Jie Hou (corresponding author) [2,*]; Xiaojun Gu [2,3]; Deen Wang [1]; Qiang Yuan [1] 1. Introduction The [...]