Outputs (277)

Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. (2022)
Journal Article
KHAN, Z., KHAN, M., YOOK, S.-J., KHAN, A., YOUNAS, M., ZAHIR, M.Z. and ASAD, M. 2022. Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. Materials [online], 15(22), article 7997. Available from: https://doi.org/10.3390/ma15227997

This research presents a fully coupled 3D numerical model to analyse the dynamics of high-speed electromagnetic forming process for aluminium alloy AA6061-T6. The effect of Lorentz force distribution, velocity and kinetic energy on deformation, the b... Read More about Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model..

Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. (2022)
Journal Article
HOSSAIN, M., CHINENYE-KANU, N., FAISAL, N.H., PRATHURU, A., ASIM, T. and BANIK, S. 2023. Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. Aerosol science and engineering [online], 7(1), pages 96-106. Available from: https://doi.org/https://doi.org/10.1007/s41810-022-00165-2

The purpose of the study is to investigate the dispersion of droplet nuclei/aerosol which are produced during coughing and continuous talking to quantify the risk of infection due to airborne disease transmission. A three-dimensional modelling of aer... Read More about Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule..

Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. (2022)
Journal Article
CAO, J., WANG, S., XIE, Y. and FERNANDEZ, C. 2023. Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. International journal of circuit theory and applications [online], 51(4), pages 1902-1917. Available from: https://doi.org/10.1002/cta.3500/

Because of the common data redundancy phenomenon in the current least-squares parameter identification algorithm and the complex offline parameter identification process, this research innovatively proposes a Limited Memory Multi-Innovation Least Squ... Read More about Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model..

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries. (2022)
Journal Article
ZHANG, C., WANG, S., YU, C., XIE, Y. and FERNANDEZ, C. 2022. Novel improved particle swarm optimization-extreme learning algorithm for state of charge estimation of lithium-ion batteries. Industrial and engineering chemistry research [online], 61(46), pages 17209-17217. Available from: https://doi.org/10.1021/acs.iecr.2c02476

Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure the safe and stable operation of a battery management system. Neural network methods do not depend on a specific lithium-ion battery model and are able to... Read More about Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries..

Digital condition monitoring for wider blue economy. (2022)
Presentation / Conference Contribution
HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating... Read More about Digital condition monitoring for wider blue economy..

An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2022. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied energy [online], 326, article 120043. Available from: https://doi.org/10.1016/j.apenergy.2022.120043

Accurate state of charge (SOC) estimation at different operating temperatures is essential for the reliable and safe operation of battery management systems (BMS) for lithium-ion batteries in electric vehicles (EVs). In this paper, an optimized long-... Read More about An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries..

In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. (2022)
Journal Article
DOUGLAS, A. and FREMANTLE, C. 2022. In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. Women eco artists dialog magazine [online], 13: the art of empathy. Available from: https://directory.weadartists.org/in-conversation-a-poetics-of-empathy

Helen Mayer Harrison and Newton Harrison are pioneers in the creative development of art and ecology. It was Helen who read Rachel Carson's Silent Spring, a critical influence in their decision in the early 1970s to do no work that did not in some wa... Read More about In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison..

Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. (2022)
Journal Article
GOBINA, E., GIWA, A. and BEN-ARON, A. 2022. Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. Membrane technology [online], 22(8), article 70088-2. Available from: https://doi.org/10.12968/S0958-2118(22)70088-2

Membranes are at the heart of the green hydrogen economy and are used at every stage along the infrastructure highway – from production of the gas to its end use. This article looks at the role membranes play in electrolysers, and carbon capture and... Read More about Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing..

Effect of stator blades on the startup dynamics of a vertical axis wind turbine. (2022)
Journal Article
ASIM, T., SINGH, D., SIDDIQUI, M.S. and MCGLINCHEY, D. 2022. Effect of stator blades on the startup dynamics of a vertical axis wind turbine. Energies [online], 15(21), 8135. Available from: https://doi.org/10.3390/en15218135

Vertical Axis Wind Turbines (VAWTs) are omni-directional, low-cost, low-efficiency wind power extractors. A conventional drag-based VAWT consists of multiple thin rotor blades with a typical peak Tip Speed Ratio (λ) of less than 1. Their lower cut-in... Read More about Effect of stator blades on the startup dynamics of a vertical axis wind turbine..

Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. (2022)
Journal Article
PESTANA, C.J., SANTOS, A.A., CAPELO-NETO, J. et al. 2022. Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. Water research [online], 226, article 119299. Available from: https://doi.org/10.1016/j.watres.2022.119299

Cyanobacteria and their toxic secondary metabolites present challenges for water treatment globally. In this study we have assessed TiO2 immobilized onto recycled foamed glass beads by a facile calcination method, combined in treatment units with 365... Read More about Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study..

Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. (2022)
Journal Article
LIU, X., ZHU, G., ASIM, T. and MISHRA, R. 2022. Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. Fuel [online], 333(Part 2), article 126413. Available from: https://doi.org/10.1016/j.fuel.2022.126413

Combustion of hybrid natural gas (methane) and hydrogen mixture in domestic swirl stoves has been characterized using hot-state experiments and numerical analysis. The detailed combustion mechanism of methane and hydrogen (GRI-Mech 3.0) has been simp... Read More about Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves..

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., FAN, Y., JIN, S., TAKYI-ANINAKWA, P. and FERNANDEZ, C. 2023. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. Reliability engineering and system safety [online], 230, article 108920. Available from: https://doi.org/10.1016/j.ress.2022.108920

Safety assurance is essential for lithium-ion batteries in power supply fields, and the remaining useful life (RUL) prediction serves as one of the fundamental criteria for the performance evaluation of energy and storage systems. Based on an improve... Read More about Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries..

A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. (2022)
Journal Article
REN, P., WANG, S., CHEN, X., ZHOU, H., FERNANDEZ, C. and STROE, D.-I. 2022. A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. Electrochimica Acta [online], 435, article 141404. Available from: https://doi.org/10.1016/j.electacta.2022.141404

State of health evaluation of lithium-ion batteries has become a significant research direction in related fields attributed to the crucial impact on the reliability and safety of electric vehicles. In this research, a dynamic adaptive cuckoo search... Read More about A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries..

A novel gradient-guided post-processing method for adaptive image steganography. (2022)
Journal Article
XIE, G., REN, J., MARSHALL, S., ZHAO, H. and LI, R. 2023. A novel gradient-guided post-processing method for adaptive image steganography. Signal processing [online], 203, article 108813. Available from: https://doi.org/10.1016/j.sigpro.2022.108813

Designing an effective cost function has always been the key in image steganography after the development of the near-optimal encoders. To learn the cost maps automatically, the Generative Adversarial Networks (GAN) are often trained from the given c... Read More about A novel gradient-guided post-processing method for adaptive image steganography..

Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. (2022)
Journal Article
JIN, M., LIU, J., YU, J., ZHOU, Q., WU, W., FU, L., YIN, C., FERNANDEZ, C. and KARIMI-MALEH, H. 2022. Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. Science progress [online], 105(4), pages 1-22. Available from: https://doi.org/10.1177/003685042211321

Microplastics have been considered a new type of pollutant in the marine environment and have attracted widespread attention worldwide in recent years. Plastic particles with particle size less than 5 mm are usually defined as microplastics. Because... Read More about Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review..

Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities. (2022)
Journal Article
FAISAL, N.H., PRATHURU, A., AHMED, R. et al. 2022. Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities. ChemNanoMat [online], 8(12), article number e202200384. Available from: https://doi.org/10.1002/cnma.202200384

Thermal spray coatings have the advantage of providing thick and functional coatings from a range of engineering materials. The associated coating processes provide good control of coating thickness, morphology, microstructure, pore size and porosity... Read More about Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities..

Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR. (2022)
Journal Article
PESTANA, C.J., HUI, J., CAMACHO-MUÑOZ, D., EDWARDS, C., ROBERTSON, P.K.J., IRVINE, J.T.S. and LAWTON, L.A. 2022. Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR. Chemosphere [online], 310, article 136828. Available from: https://doi.org/10.1016/j.chemosphere.2022.136828

Cyanobacteria and their toxins are a threat to drinking water safety as increasingly cyanobacterial blooms (mass occurrences) occur in lakes and reservoirs all over the world. Photocatalytic removal of cyanotoxins by solar light active catalysts is a... Read More about Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR..

Numerical analysis of a horizontal pressure differential wave energy converter. (2022)
Journal Article
RENGANATHAN, M. and HOSSAIN, M. 2022. Numerical analysis of a horizontal pressure differential wave energy converter. Energies [online], 15(20), articles 7513. Available from: https://doi.org/10.3390/en15207513

CFD modeling of an innovative wave energy device has been carried out in this study. OpenFoam wave modeling solver interFoam has been employed in order to investigate the energy extraction capability of the wave energy device. The innovative concept... Read More about Numerical analysis of a horizontal pressure differential wave energy converter..

Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool. (2022)
Journal Article
SHAH, F., YOUNAS, M., KHAN, M., KHAN, A., KHAN, Z. and KHAN, N. 2023. Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool. Welding in the world [online], 67(2), pages 309-323. Available from: https://doi.org/10.1007/s40194-022-01385-3

Friction stir welding (FSW) is a welding technique in which a non-consumable rotating tool with a profiled pin is pressed on the adjoining surfaces and transverse along the welding direction to produce a weld trail. The technique was first applied to... Read More about Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool..

Printed texture guided color feature fusion for impressionism style rendering of oil paintings. (2022)
Journal Article
GENG, J., MA, L., LI, X., ZHANG, X. and YAN, Y. 2022. Printed texture guided color feature fusion for impressionism style rendering of oil paintings. Mathematics [online], 10(19): advances in computer vision and machine learning, article 3700. Available from: https://doi.org/10.3390/math10193700

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses computer algorithms to render a photo into an artistic painting. Recent work has shown that the ex-traction of style information such as stroke texture and color o... Read More about Printed texture guided color feature fusion for impressionism style rendering of oil paintings..