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“Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience (2022)
Conference Proceeding
Coffey, M., Hallewell, M., LARGE, D., Harvey, C., & Burnett, G. (2022). “Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience. In DDI 2022 Gothenburg, Lindholmen Convference Centre & online October 19-20, 2022 : Abstract book

The remote operation of automated vehicles (‘teleoperation’) has been posited as a potential solution for situations in which human intervention is required, but creates new challenges for ‘driver’ distraction and inattention. Guided by the critical... Read More about “Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience.

Thermodynamic, pyrolytic, and kinetic investigation on the thermal decomposition of polyvinyl chloride in the presence of franklinite (2022)
Journal Article
Altarawneh, S., Al-Harahsheh, M., Dodds, C., Buttress, A., & Kingman, S. (2022). Thermodynamic, pyrolytic, and kinetic investigation on the thermal decomposition of polyvinyl chloride in the presence of franklinite. Process Safety and Environmental Protection, 168, 558-569. https://doi.org/10.1016/j.psep.2022.10.028

Thermal co-treatment of Electric Arc Furnace Dust (EAFD) and polyvinyl chloride (PVC) may provide a viable route for reprocessing these hazardous materials within the circular economy. To develop and optimise a commercial treatment process, the compl... Read More about Thermodynamic, pyrolytic, and kinetic investigation on the thermal decomposition of polyvinyl chloride in the presence of franklinite.

Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study (2022)
Conference Proceeding
Wilson, H., LARGE, D., & Burnett, G. (2022). Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study.

Theoretical techniques to model and predict drivers’ visual behaviour during the execution of secondary in- vehicle tasks, such as the extended keystroke level model (eKLM), are predicated on perfect task resumability during the interleaving of atten... Read More about Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study.

Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis (2022)
Journal Article
Perez Guzman, R. E., Rivera, M., Wheeler, P., Mirzaeva, G., Espinosa, E. E., & Rohten, J. A. (2022). Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis. IEEE Access, 10, 111389-111405. https://doi.org/10.1109/ACCESS.2022.3215434

Hierarchical control is a widely used strategy that can increase resilience and improve the reliability of the electrical network based on microgrid global variables. Large amounts of data required during transitions prompt the use of more reliable a... Read More about Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis.

Solutions to Hazardous Wastes Issues in the Leather Industry: Adsorption of Chromium Iii and Vi from Leather Industry Wastewaters Using Activated Carbons Produced from Leather Industry Solid Wastes (2022)
Working Paper
Jimenez-Paz, J., Lozada-Castro, J., Lester, E., Williams, O., Stevens, L., & Barraza-Burgos, J. Solutions to Hazardous Wastes Issues in the Leather Industry: Adsorption of Chromium Iii and Vi from Leather Industry Wastewaters Using Activated Carbons Produced from Leather Industry Solid Wastes

This study presents the use of an innovative material to tackle hazardous wastes in the leather industry. Activated carbons produced from Leather industry waste (LIW) were used to adsorb Chromium (Cr) III and (VI), which are found in leather wastewa... Read More about Solutions to Hazardous Wastes Issues in the Leather Industry: Adsorption of Chromium Iii and Vi from Leather Industry Wastewaters Using Activated Carbons Produced from Leather Industry Solid Wastes.

Implementation of real contact behaviour in the DEM modelling of triaxial tests on railway ballast (2022)
Journal Article
Tolomeo, M., & McDowell, G. R. (2022). Implementation of real contact behaviour in the DEM modelling of triaxial tests on railway ballast. Powder Technology, 412, Article 118021. https://doi.org/10.1016/j.powtec.2022.118021

In the Discrete Element modelling of soils, the micromechanical behaviour at contacts has often been considered to have a minor influence on the macromechanical response, leaving basic theoretical models (e.g., Hertz) to describe the contact response... Read More about Implementation of real contact behaviour in the DEM modelling of triaxial tests on railway ballast.

Thermoeconomic assessments and optimization of a vapour compression and an ejector integrated sCO2 trigeneration systems (2022)
Journal Article
Hakan Çetin, T., & Zhu, J. (2022). Thermoeconomic assessments and optimization of a vapour compression and an ejector integrated sCO2 trigeneration systems. Sustainable Energy Technologies and Assessments, 54, Article 102832. https://doi.org/10.1016/j.seta.2022.102832

Two sCO2 trigeneration systems are proposed in this study to supply power, heating and cooling simultaneously, one is a vapour compression recuperation system (VCRS), the other is an ejector integrated recuperation system (EIRS). Their performance as... Read More about Thermoeconomic assessments and optimization of a vapour compression and an ejector integrated sCO2 trigeneration systems.

Impact of dielectric substrates on chipless RFID tag performance (2022)
Journal Article
Ali, A., Smartt, C., Im, J., Williams, O., Lester, E., & Greedy, S. (2022). Impact of dielectric substrates on chipless RFID tag performance. International Journal of Microwave and Wireless Technologies, https://doi.org/10.1017/s1759078722001039

A five-slot hexagonal shape chipless RFID tag is designed, simulated, and manufactured on FR4 substrate. The designed tag's copper geometry was replicated on a wide range of dielectric substrate to quantify the impact on resonance quality factor (RQF... Read More about Impact of dielectric substrates on chipless RFID tag performance.

A Topology-Morphing Series Resonant Converter for Photovoltaic Module Applications (2022)
Conference Proceeding
Sergentanis, G., De Lillo, L., Empringham, L., & Johnson, C. M. (2022). A Topology-Morphing Series Resonant Converter for Photovoltaic Module Applications. In 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)

Residential solar photovoltaic (PV) installations frequently use power optimizers to increase their energy production. In this application, the ability to regulate a wide range of voltage with high efficiency is highly desirable. Thus, this paper pro... Read More about A Topology-Morphing Series Resonant Converter for Photovoltaic Module Applications.

A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters (2022)
Conference Proceeding
Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2022). A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters. In 48th Annual Conference of the Industrial Electronics Society (IECON 2022). https://doi.org/10.1109/iecon49645.2022.9969053

Model Predictive Control (MPC) is becoming more popular than ever as an alternative to conventional modulations such as Space Vector Modulation methods to control matrix converters (MCs). However, the implementation of MPC is computationally expensiv... Read More about A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters.

Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage (2022)
Conference Proceeding
Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2022). Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage. In 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022). https://doi.org/10.1109/iecon49645.2022.9968351

To eliminate the common-mode voltage (CMV) for matrix converters, this paper proposes a current sensorless model predictive control with reduced calculation overhead. In contrast to other traditional CMV-reducing methods which use all permissible swi... Read More about Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage.

Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method (2022)
Conference Proceeding
Cibulski, L., Dimara, E., Hermawati, S., & Kohlhammer, J. (2022). Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method. . https://doi.org/10.1109/VisGuides57787.2022.00007

While domain characterization has become an integral part of visualization design studies, methodological prescriptions are rare. An underrepresented aspect in existing approaches is domain expertise. Knowledge elicitation methods from cognitive scie... Read More about Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method.

Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications (2022)
Conference Proceeding
Zhu, Y., Yan, X., Wang, Z., Yang, T., Bozhko, S., & Wheeler, P. (2022). Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/iecon49645.2022.9968331

A Half-bridge-active-clamp (HBAC) converter is used as an alternative to replace Dual active bridge (DAB) converter for 540V/28V on-board grid in more electric aircraft applications. The HBAC converter provides an opportunity to reduce the turn-ratio... Read More about Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications.

Transforming North-South research partnerships: Lessons learned from energy, technology & enterprise global challenge research fund projects (2022)
Journal Article
Robinson, B. L., Clifford, M. J., & Jewitt, S. (2022). Transforming North-South research partnerships: Lessons learned from energy, technology & enterprise global challenge research fund projects. Energy Research and Social Science, 93, Article 102837. https://doi.org/10.1016/j.erss.2022.102837

The Global Challenges Research Fund (GCRF) provided a mechanism for academia to undertake projects relevant to the Sustainable Development Goals but there have been limited opportunities to critically interrogate such projects. In this paper we will... Read More about Transforming North-South research partnerships: Lessons learned from energy, technology & enterprise global challenge research fund projects.

Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components (2022)
Conference Proceeding
Papadaki, A. R., Bacharoudis, K., Bainbridge, D., Burbage, N., Turner, A., Sanderson, D., …Ratchev, S. M. (2023). Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components. In Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA (394-403). https://doi.org/10.1007/978-3-031-18326-3_38

The classical approach to the creation of assembly work instructions for high value, complex products is time-consuming and prone to error. It requires a process engineer to write the work instructions step-by-step and manually insert specific techni... Read More about Automating the Generation of MBD-Driven Assembly Work Instruction Documentation for Aircraft Components.

A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin (2022)
Conference Proceeding
Mo, F., Chaplin, J. C., Sanderson, D., Rehman, H. U., Monetti, F. M., Maffei, A., & Ratchev, S. (2022). A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin. In Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus Proceedings of FAIM 2022, June 19-23, 2022, Detroit, Michigan, USA, Volume 2 (361-373). https://doi.org/10.1007/978-3-031-18326-3_35

The application of digital twins and artificial intelligence to manufacturing has shown potential in improving system resilience, responsiveness, and productivity. Traditional digital twin approaches are generally applied to single, static systems to... Read More about A Framework for Manufacturing System Reconfiguration based on Artificial Intelligence and Digital Twin.

Laminated beams/shafts of annular cross-section subject to combined loading (2022)
Journal Article
Li, S., Johnson, M. S., Sitnikova, E., Evans, R., & Mistry, P. J. (2023). Laminated beams/shafts of annular cross-section subject to combined loading. Thin-Walled Structures, 182(Part A), Article 110153. https://doi.org/10.1016/j.tws.2022.110153

A novel stress analysis method is developed for the efficient design of radially laminated annular beams/shafts subject to arbitrary load combinations. The analysis is conducted using classic laminate theory (CLT) in conjunction with a mechanics of m... Read More about Laminated beams/shafts of annular cross-section subject to combined loading.

An integrated modelling framework for complex systems safety analysis (2022)
Journal Article
Tolo, S., & Andrews, J. (2022). An integrated modelling framework for complex systems safety analysis. Quality and Reliability Engineering International, 38(8), 4330-4350. https://doi.org/10.1002/qre.3212

The ever-increasing complexity of engineering systems has fuelled the need for novel and efficient computational tools able to enhance the accuracy of current modelling strategies for industrial systems. Indeed, traditional Fault and Event Tree techn... Read More about An integrated modelling framework for complex systems safety analysis.

Direct Model Predictive Control of Synchronous Reluctance Motor Drives (2022)
Journal Article
Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Nardo, M. D., & Zanchetta, P. (2023). Direct Model Predictive Control of Synchronous Reluctance Motor Drives. IEEE Transactions on Industry Applications, 59(1), 1054-1063. https://doi.org/10.1109/TIA.2022.3213002

This paper investigates a finite-control set model-predictive control (FCS-MPC) algorithm to enhance the performance of a synchronous reluctance machine drive. Particular emphasis is placed on the definition of the cost function enabling a computatio... Read More about Direct Model Predictive Control of Synchronous Reluctance Motor Drives.