Outputs (6598)

3D Printed Antennas Metallized Using Conductive Paint at X-Band (2019)
Presentation / Conference Contribution
Shaker, A., Yue, G., Samuel, S., Edouard des, G., & Clive, P. (2019, March). 3D Printed Antennas Metallized Using Conductive Paint at X-Band. Presented at 2019 13th European Conference on Antennas and Propagation (EuCAP), Krakow, Poland

This paper presents performance evaluation of 3D printed antennas that operate at X-band and metallized using simple and low cost methods. The proposed 3D printed antennas operate at 10 GHz and they are metallized using different low cost conductive... Read More about 3D Printed Antennas Metallized Using Conductive Paint at X-Band.

Mobile app communication aid for Cypriot deaf people (2019)
Journal Article
Pieri, K., & Cobb, S. V. G. (2019). Mobile app communication aid for Cypriot deaf people. Journal of Enabling Technologies, 13(2), 70-81. https://doi.org/10.1108/JET-12-2018-0058

© 2019, Emerald Publishing Limited. Purpose: People with severe or profound hearing loss face daily communication problems mainly due to the language barrier between themselves and the hearing community. Their hearing deficiency, as well as their use... Read More about Mobile app communication aid for Cypriot deaf people.

Robots in special education: reasons for low uptake (2019)
Journal Article
Galvez Trigo, M. J., Standen, P. J., & Cobb, S. V. G. (2019). Robots in special education: reasons for low uptake. Journal of Enabling Technologies, 13(2), 59-69. https://doi.org/10.1108/jet-12-2018-0070

Purpose: This paper identifies the main reasons for low uptake of robots in Special Education, obtained from an analysis of previous studies that used robots in the area, and from interviewing Special Education teachers about the topic.

Design/me... Read More about Robots in special education: reasons for low uptake.

FEM approach for diagnosis of induction machines' non-adjacent broken rotor bars by short-time Fourier transform spectrogram (2019)
Journal Article
Panagiotou, P., Arvanitakis, I., Lophitis, N., Antonino-Daviu, {. A., & Gyftakis, {. N. (2019). FEM approach for diagnosis of induction machines' non-adjacent broken rotor bars by short-time Fourier transform spectrogram. Journal of Engineering, 2019(17), 4566--4570. https://doi.org/10.1049/joe.2018.8240

Rotor electrical faults are an issue frequently encountered when applying condition monitoring and fault diagnosis on induction machines. The detection via the analysis of the stator current becomes challenging when the rotor cage suffers from multip... Read More about FEM approach for diagnosis of induction machines' non-adjacent broken rotor bars by short-time Fourier transform spectrogram.

New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances (2019)
Journal Article
Yao, C., & Zheng, C. G. (2019). New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances. Acta Physico-Chimica Sinica, 36(2), Article 1904025. https://doi.org/10.3866/PKU.WHXB201904025

Carbon materials can offer various micro-and nano-structures, and bulk and surface functionalities, and hence remain most popular for manufacturing supercapacitors. This article reviews critically recent development in preparation of carbon materials... Read More about New Precursors Derived Activated Carbon and Graphene for Aqueous Supercapacitors with Unequal Electrode Capacitances.

Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter (2019)
Journal Article
Diaz, M., Espinosa, M., Rojas, F., Wheeler, P., & Cardenas, R. (2019). Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter. Journal of Engineering, 2019(17), 4214-4219. https://doi.org/10.1049/joe.2018.8028

The modular multilevel matrix converter (M3C) is a power converter topology for ac to ac conversion that is suitable for high-power applications. The control of this converter is complex, particularly if ac system frequencies are similar. In these ca... Read More about Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter.

New perspectives on supercritical methane adsorption in shales and associated thermodynamics (2019)
Journal Article
Tang, X., Ripepi, N., Rigby, S., Mokaya, R., & Gilliland, E. (2019). New perspectives on supercritical methane adsorption in shales and associated thermodynamics. Journal of Industrial and Engineering Chemistry, 78, 186-197. https://doi.org/10.1016/j.jiec.2019.06.015

Understanding methane adsorption behavior in shales is fundamental for optimizing shale gas development as the adsorbed methane is a large portion of the subsurface shale gas resource. However, the adsorption mechanism of supercritical methane in sha... Read More about New perspectives on supercritical methane adsorption in shales and associated thermodynamics.

Discrete and phase field methods for linear elastic fracture mechanics: a comparative study and state-of-the-art review (2019)
Journal Article
Egger, A., Pillai, U., Agathos, K., Kakouris, E., Chatzi, E., Ashcroft, I. A., & Triantafyllou, S. P. (2019). Discrete and phase field methods for linear elastic fracture mechanics: a comparative study and state-of-the-art review. Applied Sciences, 9(12), Article 2436. https://doi.org/10.3390/app9122436

© 2019 by the authors. Three alternative approaches, namely the extended/generalized finite element method (XFEM/GFEM), the scaled boundary finite element method (SBFEM) and phase field methods, are surveyed and compared in the context of linear elas... Read More about Discrete and phase field methods for linear elastic fracture mechanics: a comparative study and state-of-the-art review.

Towards an active learning approach to tool condition monitoring with Bayesian deep learning (2019)
Presentation / Conference Contribution
Martinez Arellano, G., & Ratchev, S. (2019, June). Towards an active learning approach to tool condition monitoring with Bayesian deep learning. Presented at ECMS 2019: 33rd International ECMS Conference on Modelling and Simulation

With the current advances in the Internet of Things (IoT), smart sensors and Artificial Intelligence (AI), a new generation of condition monitoring solutions for smart manufacturing is starting to emerge. Computer Numerical Control (CNC) machines can... Read More about Towards an active learning approach to tool condition monitoring with Bayesian deep learning.

Inter-particle bonding in cold spray deposition of a gas-atomised and a solution heat-treated Al 6061 powder (2019)
Journal Article
Sabard, A., & Hussain, T. (2019). Inter-particle bonding in cold spray deposition of a gas-atomised and a solution heat-treated Al 6061 powder. Journal of Materials Science, 54(18), 12061-12078. https://doi.org/10.1007/s10853-019-03736-w

The heat treatment of a number of gas-atomised aluminium alloys prior to cold spraying recently showed that the resultant microstructural modification was accompanied by an improvement in deposition; however, the relationship between the microstructu... Read More about Inter-particle bonding in cold spray deposition of a gas-atomised and a solution heat-treated Al 6061 powder.