Dr Muhammad Ali Babar Abbasi, EEECS Prof Vince Fusco, EEECS Prof Mark Price, EEECS The calibration of industrial mechanical tools deviates as the machining process begins, while re-calibration or manual re-configuration often requires excessive time and cost. This project aims to develop small-scale antenna systems placed on mechanical tool-heads that monitors the tool position and accuracy during the machining process. This will reduce the cost and time required for sequential re-calibration of tools, eventually enhancing the productivity. Academic Requirements: A minimum 2.1 honours degree or equivalent in Electrical / Electronic Engineering / Computer Science or relevant degree is required.
Mechanical tools involved in industrial machining require accurate and precise location identification. Before machining process, tools are properly calibrated; however, this calibration deviates as the machining process begins. Re-calibration or manual re-configuration often require excessive time and cost, eventually affecting the overall productivity.
The objective of this project is to design and develop high-precision location monitoring for industrial tooling using small-scale localized microwave antennas. The technique involves active/passive antennas co-located with the machine head, sensing critical variables like size and gaps during the machining and tool-changing processes. Antennas also operate as wireless sensor nodes, making real-time feedback system that enhances the location precision. This project integrates the latest aspects of information and communication technology (ICT) with the classical industrial manufacturing processes to enhance the machining accuracy and productivity.
1.Understanding the classifications and operations of wireless technologies
2.Investigating the frequency and power ranges of sensor antenna nodes
3.Understanding the industrial machining standards
4.Investigating precision location methods using antenna(s)/array antenna and performs experiments
5.Investigating a common communication protocol between wireless nodes and tooling system
6.Developing feed-back control system and integrating it with the tool heads
The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.
You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries worldwide; we supervise students undertaking research in key areas of electronics and electrical engineering, including: power electronics,robotics, wireless communications, cybersecurity and sensor-based systems. As part of a lively community of over 100 full-time and part-time research students you’ll have the opportunity to develop your research potential in a vibrant research community that prioritises the cross-fertilisation of ideas and innovation in the advancement of knowledge.
Within the School we have a number of specialist research centres including a Global Research Institute, the Institute of Electronics, Communications and Information Technology (ECIT) specialising in Cyber Security, Wireless Innovation and Data Science and scalable computing.
Many PhD studentships attract scholarships and top-up supplements. PhD programmes provide our students with the opportunity to acquire an extensive training in research techniques.
Research students are encouraged to play a full and active role in relation to the wide range of research activities undertaken within the School and there are many resources available including:
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.