Hannah Lynneth Facun
School of Mechanical, Aerospace and Civil Engineering
EngD Researcher
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
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Enhancing Productivity through Digital Twins and Dynamics in CNC Machining
Supervised by: Prof. Neil Sims, Dr. Adam Brown, Dr. Luis Ureña
Sponsored by: GKN Aerospace
From my undergraduate degree, I realised I wanted to pursue a career within Research and Development, so I chose to undertake an EngD as the next step in career journey. For me, this EngD was a critical opportunity to strengthen my research skills within a field I am extremely interested in whilst applying these skills to real-world industrial problems to develop my industrial experience.
The aim of my research is to develop a machine tool dynamics toolkit for tool inventory optimisation for metal machining applications. This involves the modelling and simulation of machining dynamics to understand the effect of machining parameters and reduce the range of different tools required for machining processes.
This research combines key aspects of machining dynamics to increase productivity, increasing tool life and reduce the tool inventory by optimising the machining parameters. This research can be used to develop a digital twin for tool wear optimisation, allowing for the use of real-time sensor data to analyse, simulate and optimise machining processes in the future. This application of digital twins will allows for monitoring, identification and elimination of potential issues during the machining processes.The development of a machine tool dynamics toolkit combined with tool edge monitoring and tool wear prediction allows for tool inventory and wear optimisation. This allows for increased productivity, increased tool life and reduced tool inventory. This is an exciting step towards improving sustainability within the manufacturing sector by minimising the number of resources and energy consumption (as well as overall costs).
- Qualifications
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MSc Advanced Mechanical Engineering (2025), University of Sheffield
- Research interests