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Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers (2024)
Journal Article
El Mellas, I., Samkhaniani, N., Falsetti, C., Stroh, A., Icardi, M., & Magnini, M. (2024). Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers. International Journal of Heat and Mass Transfer, 228, Article 125620. https://doi.org/10.1016/j.ijheatmasstransfer.2024.125620

Micro-pin-fin evaporators are a promising alternative to multi-microchannel heat sinks for two-phase cooling of high power-density devices. Within pin-fin evaporators, the refrigerant flows through arrays of obstacles in cross-flow and is not restric... Read More about Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers.

A Review of Carbon Emissions from Electrical Machine Materials (2024)
Journal Article
Zhang, X., Gerada, D., Xu, Z., Zhang, F., & Gerada, C. (2024). A Review of Carbon Emissions from Electrical Machine Materials. Electronics, 13(9), Article 1714. https://doi.org/10.3390/electronics13091714

As the world embarks on a global mission to tackle climate change, reducing carbon represents a key challenge given the escalating global warming. The U.K. is among many other nations that are determined to decarbonise all sectors and strive to achie... Read More about A Review of Carbon Emissions from Electrical Machine Materials.

Active noise control by means of high frequency injection in electric motors (2024)
Journal Article
Skoulaxinos, S., Wheeler, P., & Vakil, G. (in press). Active noise control by means of high frequency injection in electric motors. IET Electric Power Applications, https://doi.org/10.1049/elp2.12442

Machine acoustics is an important area of research impacting the quality and comfort of human life. With increased levels of electrification and the wider use of electric motors, the contribution of motor drives towards quieter acoustic systems becom... Read More about Active noise control by means of high frequency injection in electric motors.

Defining human-centricity in Industry 5.0 and assessing the readiness of ergonomics/human factors communities in UK (2024)
Journal Article
Hermawati, S., Correa, R., Mohan, M., Lawson, G., & Houghton, R. (2024). Defining human-centricity in Industry 5.0 and assessing the readiness of ergonomics/human factors communities in UK. Ergonomics, 1-20. https://doi.org/10.1080/00140139.2024.2343947

There is a lack of a clear and consistent definition of human-centricity in Industry 5.0. This study identified the definition of human-centricity in Industry 5.0 through a systematic literature review and used it to assess the readiness of Ergonomic... Read More about Defining human-centricity in Industry 5.0 and assessing the readiness of ergonomics/human factors communities in UK.

Modeling and study of pressure-dependent boiling crisis in membrane-based heat sink (2024)
Journal Article
Fu, R., Chen, C., Yan, Y., Wang, Q., & Cao, L. (2024). Modeling and study of pressure-dependent boiling crisis in membrane-based heat sink. International Journal of Heat and Mass Transfer, 228, Article 125613. https://doi.org/10.1016/j.ijheatmasstransfer.2024.125613

A theoretical model is developed to study the pressure-dependent boiling crisis of membrane-based heat sink. It has been reported that the critical heat flux of this heat sink can be increased to 1.8 kW/cm2 by using a piece of hydrophobic membrane to... Read More about Modeling and study of pressure-dependent boiling crisis in membrane-based heat sink.

Performance improvement of the automotive thermoelectric generator by extending the hot side area of the heat exchanger through heat pipes (2024)
Journal Article
Luo, D., Yang, S., Yan, Y., Cao, J., & Cao, B. (2024). Performance improvement of the automotive thermoelectric generator by extending the hot side area of the heat exchanger through heat pipes. Energy Conversion and Management, 310, Article 118472. https://doi.org/10.1016/j.enconman.2024.118472

In pursuit of enhancing the utilization of exhaust heat in the automotive thermoelectric generator (ATEG), this study introduces a novel heat exchanger with integrated heat pipes to extend the effective hot-side surface area. Meanwhile, a numerical m... Read More about Performance improvement of the automotive thermoelectric generator by extending the hot side area of the heat exchanger through heat pipes.

Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave (2024)
Journal Article
Acheampong, E., Husain, A. A., Dudani, H., Nayak, A. R., Nag, A., Meena, E., …Monaghan, T. M. (in press). Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave. PLoS ONE,

Wastewater-based epidemiology (WBE) has emerged as an effective environmental surveillance tool for predicting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease outbreaks in high-income countries (HICs) with centralized sewage infr... Read More about Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave.

Micro-mechanical behavior of stone-blowing in ballast maintenance using DEM-CFD coupling method (2024)
Journal Article
Chen, C., Rao, W., Zhang, L., McDowell, G., & Li, P. (2024). Micro-mechanical behavior of stone-blowing in ballast maintenance using DEM-CFD coupling method. Transportation Geotechnics, 46, Article 101263. https://doi.org/10.1016/j.trgeo.2024.101263

Stone-blowing restores the track geometry by blowing small crushed stones into the bottom of the sleeper, extending the maintenance period. In this study, ballast and filling stones were modelled using discrete element method (DEM), while the air blo... Read More about Micro-mechanical behavior of stone-blowing in ballast maintenance using DEM-CFD coupling method.

Effect of infill nonlinearity on frame response to tunnelling (2024)
Conference Proceeding
Yu, Y., Franza, A., Neves, L., & Marshall, A. M. (in press). Effect of infill nonlinearity on frame response to tunnelling.

Tunnel construction is needed for infrastructure development in urban areas. However, underground excavation can detrimentally influence adjacent buildings; in particular , for framed structures with shallow foundations, damage would localise in the... Read More about Effect of infill nonlinearity on frame response to tunnelling.

Deconvoluting the Mechanisms of Thermal Degradation and Oxidation during the Aging Simulation of Elastomeric Modified Asphalt Binders (2024)
Journal Article
Adwani, D., Sreeram, A., & Bhasin, A. (2024). Deconvoluting the Mechanisms of Thermal Degradation and Oxidation during the Aging Simulation of Elastomeric Modified Asphalt Binders. Journal of Materials in Civil Engineering, 36(7), https://doi.org/10.1061/jmcee7.mteng-17450

Developing new and efficient methods to simulate the aging of asphalt binders and mixtures continues to be an important area of research for the asphalt community around the world. Temperatures exceeding pavement service temperatures are typically us... Read More about Deconvoluting the Mechanisms of Thermal Degradation and Oxidation during the Aging Simulation of Elastomeric Modified Asphalt Binders.

Enhancing the 3D printing fidelity of vat photopolymerization with machine learning-driven boundary prediction (2024)
Journal Article
Ma, Y., Tian, Z., Wang, B., Zhao, Y., Nie, Y., Wildman, R. D., …He, Y. (2024). Enhancing the 3D printing fidelity of vat photopolymerization with machine learning-driven boundary prediction. Materials and Design, 241, Article 112978. https://doi.org/10.1016/j.matdes.2024.112978

Like many pixel-based additive manufacturing (AM) techniques, digital light processing (DLP) based vat photopolymerization faces the challenge that the square pixel based processing strategy can lead to zigzag edges especially when feature sizes come... Read More about Enhancing the 3D printing fidelity of vat photopolymerization with machine learning-driven boundary prediction.

Status and Progress of Nanomaterials Application in Hydrogen Storage (2024)
Book Chapter
Güleç, F., Oakley, W., Liu, X., Nayebossadri, S., Wang, F., K. Smith, E., …Lester, E. H. (2024). Status and Progress of Nanomaterials Application in Hydrogen Storage. In J. A. Okolie, E. I. Epelle, A. Mukherjee, & A. El Din Mahmoud (Eds.), Nanomaterials for Sustainable Hydrogen Production and Storage (136-165). CRC Press. https://doi.org/10.1201/9781003371007-8

Hydrogen could be one of the long-term environmentally friendly solutions for a sustainable and clean energy future. The fundamental elements of a hydrogen economy are sustainable and clean hydrogen production, low-cost/high-capacity storage, wide di... Read More about Status and Progress of Nanomaterials Application in Hydrogen Storage.

How does explainability affect perceived transparency, trust, acceptance and usefulness? (2024)
Conference Proceeding
Ding, Y., & Hermawati, S. (2024). How does explainability affect perceived transparency, trust, acceptance and usefulness?.

The effects of explainability on perceived trust, transparency, acceptance and usefulness were explored in a within subjects study (n=15) using an online shopping recommender system as a context. The study investigated three levels of explainability... Read More about How does explainability affect perceived transparency, trust, acceptance and usefulness?.

Immune system inspired smart maintenance framework: tool wear monitoring use case (2024)
Journal Article
Pulikottil, T., Martínez-Arellano, G., & Barata, J. (2024). Immune system inspired smart maintenance framework: tool wear monitoring use case. International Journal of Advanced Manufacturing Technology, https://doi.org/10.1007/s00170-024-13472-4

As the manufacturing industry is moving towards the fourth industrial revolution, there is an increasing need for smart maintenance systems that could provide manufacturers with a competitive advantage by predicting failures. Despite various efforts... Read More about Immune system inspired smart maintenance framework: tool wear monitoring use case.

Model refinements with experimental validation in piezoelectric plate actuators (2024)
Journal Article
Popov, A. A., Gungordu, B., & Jabbal, M. (2024). Model refinements with experimental validation in piezoelectric plate actuators. Journal of Sound and Vibration, 584, Article 118462. https://doi.org/10.1016/j.jsv.2024.118462

The axisymmetric vibration analysis of circular plates with piezoelectric layers and step changes in plate thickness is conducted. For the chosen configurations, it is necessary to solve a coupled system of differential equations for extensional and... Read More about Model refinements with experimental validation in piezoelectric plate actuators.

Investigating levels of remote operation in high-level on-road autonomous vehicles using operator sequence diagrams (2024)
Journal Article
Parr, H., Harvey, C., Burnett, G., & Sharples, S. (2024). Investigating levels of remote operation in high-level on-road autonomous vehicles using operator sequence diagrams. Cognition, Technology and Work, 26, 207-223. https://doi.org/10.1007/s10111-024-00762-w

The continuing development of autonomous vehicle technology is making the presence of fully autonomous vehicles (SAE Level 5 of Driving Automation) on the road an ever more likely possibility. Similarly, regulation changes show countries are preparin... Read More about Investigating levels of remote operation in high-level on-road autonomous vehicles using operator sequence diagrams.

Numerical investigation into the thermal interference of slinky ground heat exchangers (2024)
Journal Article
Luo, M., & Gan, G. (2024). Numerical investigation into the thermal interference of slinky ground heat exchangers. Applied Thermal Engineering, 248(Part A), Article 123215. https://doi.org/10.1016/j.applthermaleng.2024.123215

The thermal performance of a slinky ground heat exchanger has been investigated using a validated transient 3D model for different trench separations, installation depths, soil properties, and daily operation hours. The effect of trench separation on... Read More about Numerical investigation into the thermal interference of slinky ground heat exchangers.

Extracting focus variation data from coherence scanning interferometric measurements (2024)
Journal Article
Liu, J., Hooshmand, H., Piano, S., Leach, R., Coupland, J., Ren, M., …Su, R. (2024). Extracting focus variation data from coherence scanning interferometric measurements. Precision Engineering, 88, 699-706. https://doi.org/10.1016/j.precisioneng.2024.04.016

Coherence scanning interferometry (CSI), based on the principle of interference, can achieve sub-nanometer precision for height measurements. On the other hand, focus variation microscopy (FVM), combining the small depth of field of the objective, is... Read More about Extracting focus variation data from coherence scanning interferometric measurements.

A review of techno-economic analyses and life cycle greenhouse gas emissions of biomass-to-hydrocarbon “drop-in” fuels (2024)
Journal Article
Lilonfe, S., Davies, B., Abdul-Manan, A. F., Dimitriou, I., & McKechnie, J. (2024). A review of techno-economic analyses and life cycle greenhouse gas emissions of biomass-to-hydrocarbon “drop-in” fuels. Sustainable Production and Consumption, 47, 425-444. https://doi.org/10.1016/j.spc.2024.04.016

Synthetic “drop-in” fuels are compatible with existing fuel and vehicle infrastructures and, when produced sustainably, they could play an important role in mitigating the emissions of greenhouse gases (GHG) from transportation, especially in the har... Read More about A review of techno-economic analyses and life cycle greenhouse gas emissions of biomass-to-hydrocarbon “drop-in” fuels.

A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings (2024)
Journal Article
Cartwright, S., Rothwell, B. C., Figueredo, G., Medina, H., Eastwick, C., Layton, J., & Ambrose, S. (2024). A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings. Tribology International, 196, Article 109670. https://doi.org/10.1016/j.triboint.2024.109670

Traditional methods of evaluating the performance of journal bearings, for example thermal-elastic-hydrodynamic- lubrication theory, are limited to simplified conditions that often fail to accurately model real-world components. Numerical models that... Read More about A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings.