Hughes et.al., Biosensors & Bioelectronics, 2023
Hughes et.al., Comp. B, 2018
Felton, et.al., PLOS ONE, 2021
Yi et.al., Comp. B, 2023
Pyle et.al., IEEE Trans. UFFC, 2023
Hughes, et.al., NDT&E Int., 2014
Preprints
RR. Hughes, A. Hernandez, AJ. Mulholland, Analytical approximations for magnetic coupling coefficients between adjacent coils, arxiv, 2023
M Mussatayev, Q Yi, M Fitzgerald, VK Maes, P Wilcox, R Hughes, Directional eddy current probe configuration for in-line detection of out-of-plane wrinkles, arXiv preprint, 2023
Selected Journal Publications
RJ Pyle, RR Hughes, PD Wilcox, Interpretable and explainable machine learning for ultrasonic defect sizing, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2023
ML Jones, et.al., Exploring the potential of using simulation games for engaging with sheep farmers about lameness recognition, Frontiers in Veterinary Science, 2023
R Hughes et.al. Modelling a dynamic magneto-agglutination bioassay, Biosensors and Bioelectronics, 2023
Q Yi, P Wilcox, R Hughes, Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging, Composites Part B: Engineering, 2023
RJ Pyle, RR Hughes, AAS Ali, PD Wilcox, Uncertainty quantification for deep learning in ultrasonic crack characterization, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
RJ Pyle, RLT Bevan, RR Hughes, AAS Ali, PD Wilcox, Domain adapted deep-learning for improved ultrasonic crack characterization using limited experimental data, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
Hughes, R.R. & Drinkwater, B.W., Exploring high-frequency eddy-current testing for sub-aperture defect characterisation using parametric-manifold mapping, NDT&E Int., 2021
Felton H, Hughes R*, Diaz-Gaxiola A (2021) Negligible-cost microfluidic device fabrication using 3D-printed interconnecting channel scaffolds. PLoS ONE 16(2): e0245206. https://doi.org/10.1371/journal.pone.0245206
Pyle RJ*, Bevan RLT, Hughes RR, Rachev RK, Ali AAS, Wilcox PD., Deep Learning for Ultrasonic Crack Characterization in NDE. IEEE Trans. Ultrasonics Ferroelectrics & Frequency Control., 2020, DOI: 10.1109/TUFFC.2020.3045847
Hughes, R.R.* & Dixon, S., Performance analysis of single-frequency near electrical resonance signal enhancement (SF-NERSE) defect detection, NDT&E International, 2019
Hughes, R.R.* & Dixon, S., Analysis of electrical resonance distortion for inductive sensing applications, IEEE Sensors, 18, 2018
Hughes, R.R.*, Drinkwater, B.W. & Smith, R.A., Characterisation of carbon fibre-reinforced polymer composites through Radon-transform analysis of complex eddy-current data, Composites Part B: Engineering, 148, 2018
Hughes, R.*, Fan, Y. & Dixon, S., Near Electrical Resonance Signal Enhancement (NERSE) in Eddy-Current Crack Detection, NDT & E International, 66, 2014
Hughes, R.* & Dixon, S., Near Electrical Resonance Signal Enhancement (NERSE) for Sub-Millimetre Detection in Aerospace Superalloys, International Journal of Aerospace and Lightweight Structures (IJALS), 4, 2014
Patents
Hughes, R.R.* and Lane, C. (Inventors), Rolls-Royce plc. (Applicant)
Multi-element sensor array calibration method, European Patent Number EP3139161 A1 & United States Patent Application 20170059683, 2017
Conference Proceedings
Hughes, R.*, Fan, Y. & Dixon, S., Investigating electrical resonance in eddy-current array probes, AIP Conference Proceedings, 1706, 2016
Hughes, R.* & Dixon, S., Developments in near electrical resonance signal enhancement (NERSE) eddy-current methods, AIP Conference Proceedings, 1650, 2015
Hughes, R.R.* & Dixon, S., Eddy-current crack detection at frequencies approaching electrical resonance, AIP Conference Proceedings, 1581, 2014
Thesis
R.R. Hughes, High-sensitivity eddy-current testing technology for defect detection in aerospace superalloys, University of Warwick EngD Thesis, 2015