DESIGN OPTIMIZATION OF SHAPE MEMORY ALLOY-BASED ADAPTIVE BUILDING SKINS FOR THERMAL REGULATION

被引:0
|
作者
Fang, Yudong [1 ,2 ]
Hernandez, Edwin A. Peraza [1 ]
机构
[1] Univ Calif Irvine, Dept Mech & Aerosp Engn, Irvine, CA 92697 USA
[2] Chongqing Univ, Sch Automot Engn, Chongqing, Peoples R China
来源
PROCEEDINGS OF THE ASME 2020 CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS (SMASIS2020) | 2020年
关键词
PHASE-TRANSFORMATION; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a design study of adaptive skins that enable thermal regulation for buildings. The skins consist of rectangular panels that adaptively open and close driven by shape memory alloy (SMA) wires in response to the variation of the environment temperature. The SMA wires are used as both thermal sensors and actuators that inspect the environmental temperature and provide a corresponding actuation response. When temperature is low, the SMA wires are stable in their elongated martensitic configuration, keeping the panels closed to maintain the building interior warm by reducing incoming airflow from the exterior. When temperature reaches the SMA austenite transformation values, the SMA wires transform into their contracted austenitic configuration and open the panels. This permits cooling of the building interior by allowing circulation of incoming airflow from the exterior. This repeatable response allows the skins to adaptively regulate the indoor temperature. The performance of the adaptive skins is evaluated using finite element analysis. Metallic and laminated fiber-reinforced composite plates are explored as material options for the panels. The adaptive skins are parameterized using design variables including the dimensions of the panels, the ply thickness and orientation angles in the case of fiber-reinforced panels, and the radii of the SMA wires. By employing genetic algorithms, these design variables are optimized to maximize the achievable opening area of the panels while satisfying material failure constraints.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Shape memory alloy-based adaptive-passive dynamic vibration absorber for vibration control in piping applications
    Mani, Yuvaraja
    Senthilkumar, Mouleeswaran
    JOURNAL OF VIBRATION AND CONTROL, 2015, 21 (09) : 1838 - 1847
  • [32] A shape memory alloy-based reusable hysteretic damper for seismic hazard mitigation
    Zhang, Y.
    Zhu, S.
    SMART MATERIALS AND STRUCTURES, 2007, 16 (05) : 1603 - 1613
  • [33] Curved shape memory alloy-based soft actuators and application to soft gripper
    Rodrigue, Hugo
    Wang, Wei
    Kim, Dong-Ryul
    Ahn, Sung-Hoon
    COMPOSITE STRUCTURES, 2017, 176 : 398 - 406
  • [34] Characterization and control of Shape Memory Alloy-based actuators for heavy payloads displacement
    Copaci, Dorin
    Palenzuela, Andres Lopez
    Moreno, Luis
    Martinez, Santiago
    Balaguer, Carlos
    RESULTS IN ENGINEERING, 2024, 24
  • [35] A comparison of PZT-based and TiNi shape memory alloy-based MEMS microactuators
    Lai, BK
    Kahn, H
    Phillips, SM
    Heuer, AH
    FERROELECTRICS, 2004, 306 : 221 - 226
  • [36] Shape Memory Alloy-Based Fluidically Reconfigurable Metasurfaced Beam Steering Antenna
    Shah, Syed Imran Hussain
    Shah, Sayed Sabir
    Bernhardsson, Eirikur
    Koziel, Slawomir
    IEEE ACCESS, 2023, 11 : 102271 - 102278
  • [37] Modeling and parametric studies of magnetic shape memory alloy-based energy harvester
    Sayyaadi, Hassan
    Najafabadi, Hossein Rostami
    Farsangi, Mohammad Amin Askari
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2018, 29 (04) : 563 - 573
  • [38] AN EXPERIMENTAL AND NUMERICAL STUDY OF SHAPE MEMORY ALLOY-BASED TENSEGRITY/ORIGAMI STRUCTURES
    Rohmer, John L.
    Hernandez, Edwin A. Peraza
    Skelton, Robert E.
    Hartl, Darren J.
    Lagoudas, Dimitris C.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2015, VOL 9, 2016,
  • [39] A Shape Memory Alloy-Based Soft Actuator Mimicking an Elephant's Trunk
    Kang, Minchae
    Han, Ye-Ji
    Han, Min-Woo
    POLYMERS, 2023, 15 (05)
  • [40] Magnetic Field Tunable Ferromagnetic Shape Memory Alloy-Based SAW Resonator
    Kumar, Pradeep
    Vinita
    Pawar, Shuvam
    Singh, Jitendra
    Kaur, Davinder
    IEEE ELECTRON DEVICE LETTERS, 2022, 43 (03) : 446 - 449