scholarly journals Shape Memory Alloy Artificial Muscles for Treatments of Fecal Incontinence

2004 ◽  
Vol 45 (2) ◽  
pp. 272-276 ◽  
Author(s):  
Yun Luo ◽  
Toshiyuki Takagi ◽  
Shintaro Amae ◽  
Motoshi Wada ◽  
Tomoyuki Yambe ◽  
...  
Author(s):  
Veturia Chiroiu ◽  
Ligia Munteanu ◽  
Traian Badea ◽  
Cornel Mihai Nicolescu

The simulation of a flexible finger, actuated with the shape memory alloys (SMAs) artificial muscles, is presented in the paper. The finger is modeled as a cylindrically rod with three embedded NiTi wires in a n aluminum matrix. Forces between NiTi wires causes bending in any plane perpendicular to the longitudinal axis of the finger. The NiTi wires are heated above the austenitic start temperature by passing an electrical current, and the deflected wire tends to return to the initial configuration. Using characteristics of SMAs such as high damping capacity, super-elasticity, thermo-mechanical behavior and shape memory, the actuation for the finger is theoretically introduced and discussed.


Author(s):  
Paul Mazza ◽  
Moochul Shin ◽  
Anthony Santamaria

Facial paralysis affects hundreds of thousands of people each year; a common result of infection, trauma, stroke, and Bell’s palsy, among others. Achieving facial prosthetics that are lightweight, comfortable, aesthetically pleasing, energy efficient, and that allow human-like facial motion is a challenge. This study focuses on examining the feasibility of the use of a shape memory alloy as a means of low-power artificial muscles. Nitinol is a shape memory alloy (SMA) that can recover up to four percent of its original length when exposed to either a large enough change in temperature which can be controlled via electrical current or a stress. In this work, human eyelid muscles are replicated using Nitinol embedded in silicon. Silicone is used due to its elasticity, texture, flexibility, compatibility and ease of manufacturing. A mold is created based on human facial geometry around the orbital using a 3D printer. Based on average human eyelid dimensions, as well as the contraction properties of the Nitinol wire, an elliptical equation is used determine the length of wire required to completely close the eyelid from an open position. Temperature change of the system is controlled by modulating current through the resistive Nitinol wire. The contraction and expansion times of the eyelids are measured. The circuit is then optimized so that response times mimicked that of the human eyelid. Finally, based on the amount of times the average human blinks, the average daily power consumption is calculated. Future directions including miniaturization of the control system, bonding between SMA wires and silicone, and energy management are discussed.


2022 ◽  
Vol 11 (1) ◽  
pp. 414-422
Author(s):  
Nan Yang ◽  
Yong Deng ◽  
Jinlun Huang ◽  
Xiaodong Niu

Abstract Materials with desired thermal deformation are very important for various engineering applications. Here, a material with the combination of chiral structure and TiNi shape memory alloy (SMA) sheets that performs a twist during heating is proposed. The thermo-mechanical properties of these materials are experimentally investigated. Inspired by this, a car-like material performing translational and rotational motion is designed, which illustrates the potential applications for the next-generation soft robotic devices. Based on this method, one can design remotely manipulated artificial muscles, nanorobots, revolute pairs, and thermal sensors or actuators in a noncontact fashion.


1999 ◽  
Author(s):  
Charles Pfeiffer ◽  
Constantinos Mavroidis ◽  
Kathryn DeLaurentis ◽  
Mike Mosley

Abstract This paper describes the goals and current accomplishments of this research. The main thrust of this effort is to design artificial limbs that are lightweight, compact and dexterous, that mimic human anatomy and maintain a high lifting capability. The key to satisfying these objectives is the use of Shape Memory Alloy (SMA) artificial muscles as actuators. A general methodology to find the placement of SMA wires to achieve desired ranges of motion is presented. Three experimental prototypes, emulating human skeletal structures that are actuated by SMA artificial muscles are described in detail. It is expected that upper extremity amputees will greatly benefit from the commercialization of the novel robot prosthetic devices that will be developed in this research. These lightweight prostheses with high lifting capabilities, force-reflective characteristics and multi-degree of freedom dexterity will tremendously improve the capabilities of amputees and therefore will attract their interest. In addition, our SMA actuated robotic devices can find other commercial applications. Of special interest to our team are two other commercial applications: space robotic systems and robot toys.


2020 ◽  
Vol 8 (21) ◽  
pp. 4539-4551 ◽  
Author(s):  
Xiaonan Huang ◽  
Michael Ford ◽  
Zach J. Patterson ◽  
Masoud Zarepoor ◽  
Chengfeng Pan ◽  
...  

We review the recent progress of electrically-powered artificial muscles and soft machines using shape memory alloy and liquid crystal elastomer.


Author(s):  
Mircea Hulea ◽  

High accuracy in modelling the behavior of human hand and fingers is obtained using control devices of high biological plausibility. Such devices are typically based on neural networks and are able to control in parallel multiple artificial muscles. This paper presents the structure of an electronic spiking neural network that was implemented to control the force of two opposing fingers of an anthropomorphic hand. In order to increase the level of bio-inspiration, the artificial muscles are implemented using shape memory alloy wires which actuates by contraction as the natural muscles. Moreover, the contraction force of the SMA actuators is directly related to the spiking frequency that is generated by the artificial neurons. The results show that using few excitatory and inhibitory neurons the neural network is able to set and regulate the contraction force of the SMA actuators.


2018 ◽  
Vol 27 (7) ◽  
pp. 3581-3589 ◽  
Author(s):  
Haibin Yin ◽  
Jia Zhou ◽  
Junfeng Li ◽  
Vincent S. Joseph

2003 ◽  
Vol 112 ◽  
pp. 519-522 ◽  
Author(s):  
W. Cai ◽  
J. X. Zhang ◽  
Y. F. Zheng ◽  
L. C. Zhao

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