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Numerical investigation of heat transfer and flow characteristics of a double-wall cooling structure: Reverse circular jet impingement (2021)
Journal Article
Ahmed, A., Wright, E., Abdel-Aziz, F., & Yan, Y. (2021). Numerical investigation of heat transfer and flow characteristics of a double-wall cooling structure: Reverse circular jet impingement. Applied Thermal Engineering, 189, Article 116720. https://doi.org/10.1016/j.applthermaleng.2021.116720

Double-wall cooling structures are commonly used to enhance the heat transfer in combustor liner and aerofoil internal cooling within gas turbine engines and other industrial applications. This is the first study to adopt a novel reverse jet impingem... Read More about Numerical investigation of heat transfer and flow characteristics of a double-wall cooling structure: Reverse circular jet impingement.

Characterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps (2021)
Journal Article
Shaheen, A., Sims-Waterhouse, D., Bointon, P., Takushima, S., Piano, S., & Leach, R. K. (2021). Characterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps. Measurement Science and Technology, 32(4), Article 045006. https://doi.org/10.1088/1361-6501/abd445

Multi-view fringe projection systems can be effective solutions to address the limitations imposed by the limited field of view, line-of-sight issues and occlusions when measuring the geometry of
complex objects, associated with single camera-projec... Read More about Characterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps.

Additively manufactured ultra-high vacuum chamber for portable quantum technologies (2021)
Journal Article
Cooper, N., Coles, L., Everton, S., Maskery, I., Campion, R., Madkhaly, S., Morley, C., O’Shea, J., Evans, W., Saint, R., Krüger, P., Oručević, F., Tuck, C., Wildman, R., Fromhold, T., & Hackermüller, L. (2021). Additively manufactured ultra-high vacuum chamber for portable quantum technologies. Additive Manufacturing, 40, Article 101898. https://doi.org/10.1016/j.addma.2021.101898

© 2021 Additive manufacturing is having a dramatic impact on research and industry across multiple sectors, but the production of additively manufactured systems for ultra-high vacuum applications has so far proved elusive and widely been considered... Read More about Additively manufactured ultra-high vacuum chamber for portable quantum technologies.

Understanding Layered Double Hydroxide properties as sorbent materials for removing organic pollutants from environmental waters (2021)
Journal Article
Johnston, A.-L., Lester, E., Williams, O., & Gomes, R. L. (2021). Understanding Layered Double Hydroxide properties as sorbent materials for removing organic pollutants from environmental waters. Journal of Environmental Chemical Engineering, 9(4), Article 105197. https://doi.org/10.1016/j.jece.2021.105197

Emerging contaminants (ECs) are a group of anthropogenic organic pollutants known to have a host of adverse environmental and health implications. The removal of such pollutants from aqueous environments to ensure water is of a quality fit for reuse... Read More about Understanding Layered Double Hydroxide properties as sorbent materials for removing organic pollutants from environmental waters.

Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study (2021)
Journal Article
FISHER, O. J., WATSON, N. J., PORCU, L., BACON, D., RIGLEY, M., & GOMES, R. L. (2021). Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study. Journal of Cleaner Production, 296, Article 126242. https://doi.org/10.1016/j.jclepro.2021.126242

Process manufacturing industries constantly strive to make their processes increasingly sustainable from an environmental and economic perspective. A manufacturing system model is a powerful tool to holistically evaluate various manufacturing configu... Read More about Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study.

Single pixel camera methodologies for spatially resolved acoustic spectroscopy (2021)
Journal Article
Patel, R., Sharples, S. D., Clark, M., Somekh, M. G., & Li, W. (2021). Single pixel camera methodologies for spatially resolved acoustic spectroscopy. Applied Physics Letters, 118(5), Article 051102. https://doi.org/10.1063/5.0040123

Spatially resolved acoustic spectroscopy (SRAS) is a laser ultrasound technique used to determine the crystallographic orientation (i.e. microstructure) of materials through the generation and measurement of surface acoustic wave velocity on a sample... Read More about Single pixel camera methodologies for spatially resolved acoustic spectroscopy.

Modelling stochastic behaviour in simulation digital twins through neural nets (2021)
Journal Article
Reed, S., Löfstrand, M., & Andrews, J. (2022). Modelling stochastic behaviour in simulation digital twins through neural nets. Journal of Simulation, 16(5), 512-525. https://doi.org/10.1080/17477778.2021.1874844

Discrete event simulation (DES) is a widely used technique for modelling systems where state changes occur at discrete points in time. Stochastic behaviour is represented through random variables associated with probability distributions, from which... Read More about Modelling stochastic behaviour in simulation digital twins through neural nets.

Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model (2021)
Journal Article
Yang, S., Zhang, Y., Cho, S.-Y., Correia, R., & Morgan, S. P. (2021). Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model. Optical and Quantum Electronics, 53(2), Article 93. https://doi.org/10.1007/s11082-020-02667-0

Conventional blood pressure (BP) measurement methods have different drawbacks such as being invasive, cuff-based or requiring manual operations. There is significant interest in the development of non-invasive, cuff-less and continual BP measurement... Read More about Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model.