Dr Daniela Sawyer

PhD, MIET, PgD Mgmt

Advanced Manufacturing Research Centre (AMRC)

Technical Lead - Robotic Machining

daniela.sawyer@sheffield.ac.uk

Factory 2050

Full contact details

Dr Daniela Sawyer
Advanced Manufacturing Research Centre (AMRC)
Factory 2050
Sheffield Business Park
Sheffield
S9 1ZA

Profile: Dr Daniela Sawyer is the Technical Lead in Robotic Machining at the University of Sheffield Advanced Manufacturing Research Centre (AMRC), leading a variety of projects related to machining with robots, improving robotic accuracy and developing robotic additive manufacturing cells. Daniela started her journey in the field of engineering in 2008 when she began her BEng degree in Aerospace Engineering at the University of Sheffield. Since then, she has completed a doctoral degree in structural dynamics and a postgraduate diploma in management for engineers. Daniela has been working at the AMRC since 2017 and has been part of a variety of projects related to conventional and non-conventional manufacturing techniques.

Research interests: Robotics, Robot Dynamics, Automation, Robot Accuracy

Publications

Journal articles

Sawyer D, Tinkler L, Roberts N & Diver R (2020) Improving robotic accuracy through iterative teaching. SAE Technical Paper Series, 2020(March).
Scraggs C, Smith T, Sawyer D & Davis M () Development of a Non-Parametric Robot Calibration Method to Improve Drilling Accuracy. SAE Technical Paper Series.

Conference proceedings papers

Worden K, Antoniadou I, Tiboaca OD, Manson G & Barthorpe RJ (2016) Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
Worden K, Tiboaca OD, Antoniadou I & Barthorpe RJ (2015) System Identification of an MDOF Experimental Structure with a View Towards Validation and Verification (pp 57-65)
Tiboaca D, Green PL, Barthorpe RJ & Worden K (2014) Bayesian parameter estimation and model selection of a nonlinear dynamical system using reversible jump Markov chain Monte Carlo. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 1253-1266) View this article in WRRO
Tiboaca D, Green PL, Barthorpe RJ & Worden K (2014) Bayesian System Identification of Dynamical Systems Using Reversible Jump Markov Chain Monte Carlo (pp 277-284) View this article in WRRO
TIBOACA D, BARTHORPE R, ANTONIADOU I & WORDEN K () Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. Structural Health Monitoring 2015

Reports

Hepburne Scott M & Tiboaca O () 4-storey and 3-storey 'Bookshelf' Structure Data Report

Research group: Integrated Manufacturing Group (IMG)

Grants

Research Associate and Technical PM for AMRC involvement: Aerospace Technology Institute (ATI) Strategic R&D Projects Batch 22- Additive Industrialisation for Future Technology (AIRLIFT), led by GKN Aerospace Filton AM (Hamish Rudram), from December 2018 to November 2023, 50% awarded grant of approximately £9,000,000, working with University of Sheffield, CFMS, GKN Aerospace, Siemens;

Research Associate and Leading AMRC involvement: Engineering and Physical Sciences Research Council (EPSRC), Made Smarter Innovation - Research Centre for Connected Factories, led by University of Nottingham (Svetan Ratchev), from September 2021 to February 2025, total awarded grant of approximately £5,000,000 with approximately £371,000 allocated directly to AMRC, working with University of Sheffield, University of Nottingham, University of Cambridge, and a consortium of industrial partners;

Professional activities and memberships: Member of IET