shape memory alloys
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2022 ◽  
Vol 29 (3) ◽  
pp. 1-34
Author(s):  
Moritz Alexander Messerschmidt ◽  
Sachith Muthukumarana ◽  
Nur Al-Huda Hamdan ◽  
Adrian Wagner ◽  
Haimo Zhang ◽  
...  

We present ANISMA, a software and hardware toolkit to prototype on-skin haptic devices that generate skin deformation stimuli like pressure, stretch, and motion using shape-memory alloys (SMAs). Our toolkit embeds expert knowledge that makes SMA spring actuators more accessible to human–computer interaction (HCI) researchers. Using our software tool, users can design different actuator layouts, program their spatio-temporal actuation and preview the resulting deformation behavior to verify a design at an early stage. Our toolkit allows exporting the actuator layout and 3D printing it directly on skin adhesive. To test different actuation sequences on the skin, a user can connect the SMA actuators to our customized driver board and reprogram them using our visual programming interface. We report a technical analysis, verify the perceptibility of essential ANISMA skin deformation devices with 8 participants, and evaluate ANISMA regarding its usability and supported creativity with 12 HCI researchers in a creative design task.


2022 ◽  
Vol 203 ◽  
pp. 111080
Author(s):  
Sara Fazeli ◽  
Mohammadreza Izadifar ◽  
Jorge S. Dolado ◽  
Ali Ramazani ◽  
Sayed Khatiboleslam Sadrnezhaad

Author(s):  
Marlini Simoes ◽  
Christopher Braithwaite ◽  
Advenit Makaya ◽  
Emilio Martínez‐Pañeda

Author(s):  
Jincai Su ◽  
Haicheng Xuan ◽  
Libang Wang ◽  
Yongdong Zhu ◽  
Zhigao Xie ◽  
...  

2022 ◽  
Vol 119 (1) ◽  
pp. e2118161119
Author(s):  
Xudong Liang ◽  
Hongbo Fu ◽  
Alfred J. Crosby

Solid–solid phase transformations can affect energy transduction and change material properties (e.g., superelasticity in shape memory alloys and soft elasticity in liquid crystal elastomers). Traditionally, phase-transforming materials are based on atomic- or molecular-level thermodynamic and kinetic mechanisms. Here, we develop elasto-magnetic metamaterials that display phase transformation behaviors due to nonlinear interactions between internal elastic structures and embedded, macroscale magnetic domains. These phase transitions, similar to those in shape memory alloys and liquid crystal elastomers, have beneficial changes in strain state and mechanical properties that can drive actuations and manage overall energy transduction. The constitutive response of the elasto-magnetic metamaterial changes as the phase transitions occur, resulting in a nonmonotonic stress–strain relation that can be harnessed to enhance or mitigate energy storage and release under high–strain-rate events, such as impulsive recoil and impact. Using a Landau free energy–based predictive model, we develop a quantitative phase map that relates the geometry and magnetic interactions to the phase transformation. Our work demonstrates how controllable phase transitions in metamaterials offer performance capabilities in energy management and programmable material properties for high-rate applications.


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