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Establishing adaptive ultrasonics through shape memory materials

通过形状记忆材料建立自适应超声波

基本信息

批准号：
EP/V049658/1
负责人：
Andrew Feeney
金额：
$ 60.4万
依托单位：
University of Glasgow
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FV049658%2F1
关键词：
Establishing adaptive ultrasonics through shape

项目摘要

Ultrasonics is common in all areas of society, from surgery to car parking sensor systems. Presently, an ultrasonic device is only designed to work efficiently in one way, limited by the materials we can use. However, imagine being able to undertake faster and safer ultrasonic surgery, resulting in lower tissue damage and faster patient recovery, by using a device whose properties we can control. Also imagine a device which can heal through a controlled stimulus. There are materials we can use to transform ultrasonic devices, to create those with higher performance capabilities, including adaptability and self-healing. These features can be realised by using a different type of material, a type we can train to behave in the way we want. These smart materials can be trained to react to changes in temperature, magnetic or electric field, force, pH, and in some cases even light. This project studies the science of how we can engineer a specific type of smart material which can be trained to transform its material properties and shape, to create a transformation in ultrasonics. We can refer to this material as a shape memory material, of which Nitinol is the most popular in use today. Ultrasonics is already ubiquitous, and it is essential we make this next step to improve lives by uncovering and controlling the exciting properties of shape memory materials. This research is a gateway to future intelligent materials - those which can make decisions.

超声波在社会的各个领域都很常见，从手术到停车传感器系统。目前，超声波设备仅被设计为以一种方式有效地工作，这受到我们可以使用的材料的限制。然而，想象一下，通过使用我们可以控制其属性的设备，能够进行更快，更安全的超声手术，从而降低组织损伤和更快的患者康复。还可以想象一种可以通过受控刺激进行愈合的设备。我们可以使用一些材料来改造超声波设备，以创造具有更高性能的设备，包括适应性和自我修复。这些功能可以通过使用不同类型的材料来实现，我们可以训练这种材料以我们想要的方式表现。这些智能材料可以训练对温度，磁场或电场，力，pH值，甚至在某些情况下光的变化做出反应。该项目研究了如何设计一种特定类型的智能材料的科学，这种材料可以被训练来改变其材料特性和形状，从而在超声波中产生转变。我们可以将这种材料称为形状记忆材料，其中镍钛诺是当今使用最广泛的。超声波已经无处不在，我们必须通过揭示和控制形状记忆材料的令人兴奋的特性来改善生活。这项研究是通往未来智能材料的大门-那些可以做出决定的材料。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A bioprotein-based flexible and self-powered pressure sensor towards a biomimic of an artificial Pacinian corpuscle

DOI：
10.1109/icecs58634.2023.10382948
发表时间：
2023-12
期刊：
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
影响因子：
0
作者：
Zhao Wang;B. Yalagala;Mahshid Hafezi;Hadi Heidari;Andrew Feeney
通讯作者：
Zhao Wang;B. Yalagala;Mahshid Hafezi;Hadi Heidari;Andrew Feeney

Fabrication and Characterisation of a Nitinol Langevin Transducer

镍钛合金朗之万传感器的制造和表征