EPSRC Reference: |
EP/V049658/1 |
Title: |
Establishing adaptive ultrasonics through shape memory materials |
Principal Investigator: |
Feeney, Dr A |
Other Investigators: |
|
Researcher Co-Investigators: |
|
Project Partners: |
|
Department: |
School of Engineering |
Organisation: |
University of Glasgow |
Scheme: |
New Investigator Award |
Starts: |
01 July 2021 |
Ends: |
30 June 2024 |
Value (£): |
474,044
|
EPSRC Research Topic Classifications: |
Instrumentation Eng. & Dev. |
Materials testing & eng. |
|
EPSRC Industrial Sector Classifications: |
Aerospace, Defence and Marine |
Healthcare |
|
Related Grants: |
|
Panel History: |
|
Summary on Grant Application Form |
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.
|
Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
|
Date Materialised |
|
|
Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
Project URL: |
|
Further Information: |
|
Organisation Website: |
http://www.gla.ac.uk |