University College London Featured PhD Programmes
University of Dundee Featured PhD Programmes
University of Southampton Featured PhD Programmes
Heriot-Watt University Featured PhD Programmes
Centre for Genomic Regulation (CRG) Featured PhD Programmes

Energy Harvesting-Enabled Self-Powered Sensing for Real-Time Monitoring in Industry 4.0 (SAM06)

Project Description

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more:

Project detail

Real-time monitoring is one of the key challenges in many industrial applications, including manufacturing, autonomous driving and structural health monitoring, to ensure the quality and robustness of the products, to evaluate the conditions of infrastructure or to improve the manufacturing efficiency and safety. However, when monitoring systems are distributed over a large area in a large number, power supply (chemical batteries) for wireless sensors would need replacement and/or recharging regularly, requiring human involvement and adding inconvenience. Converting environmental energy, such as vibration, thermal gradient or light, into electricity is one of the potential solutions to obtain a self-powered autonomous system.

This PhD research project will investigate innovate self-powered sensing solutions for the next generation manufacturing process by developing and integrating vibration energy harvesting and low-power sensing technologies. Real-time monitoring of industry systems and their specific operating conditions will be used as targeted case studies (such as renewable energy, automotive, and manufacturing). Energy harvesters and wireless sensing systems will be designed and integrated according to system requirements. Applicants should have a strong interest in energy harvesting and low-power sensing electronics.

Find out more: Personal website of Dr Hailing Fu:

Research Themes on Dynamics and Manufacturing at Loughborough University:

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering (Mechanical Engineering or Electrical and Electronic Engineering) or a related subject.

A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Vibration energy harvesting, nonlinear dynamics analysis, low-power sensing electronics and electromechanical system development. A willingness to learn new skills and solve research problems is compulsory. Applicants are encouraged to informally register their interest with the primary supervisor.

How to apply

All applications should be made online at Under programme name, select Mechanical and Manufacturing Engineering.

Please quote reference number: SAM06

Funding Notes

Applicants who apply for this project will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.

If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.

Successful candidates will be notified by 26 March 2020.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2019
All rights reserved.