Outputs (1257)

Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed. (2023)
Journal Article
MOHAMMED, A.I., BARTZAS, K., JOHNSON, C., SPENCE, S., SYKES, P., KIDD, G., MCCONNACHIE, J. and NJUGUNA, J. 2023. Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed. Ocean engineering [online], 276, article 114020. Available from: https://doi.org/10.1016/j.oceaneng.2023.114020

Pipe-in-Pipe (PIP) technology has been studied significantly owing to its superior performance in deep-water and high-pressure high temperature fields than conventional single pipe. The PIP system has excellent track record of mitigating flow assuran... Read More about Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed..

An artificial lift selection approach using machine learning: a case study in Sudan. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2023. An artificial lift selection approach using machine learning: a case study in Sudan. Energies [online], 16(6), article number 2853. Available from: https://doi.org/10.3390/en16062853

This article presents a machine learning (ML) application to examine artificial lift (AL) selection, using only field production datasets from a Sudanese oil field. Five ML algorithms were used to develop a selection model, and the results demonstrat... Read More about An artificial lift selection approach using machine learning: a case study in Sudan..

Computation of swirling hydromagnetic nanofluid flow containing gyrotactic microorganisms from a spinning disk to a porous medium with hall current and anisotropic slip effects. (2023)
Journal Article
UMAVATHI, J.C., BÉG, O.A., KHAN, U.F., BÉG, T.A. and KADIR, A. 2023. Computation of swirling hydromagnetic nanofluid flow containing gyrotactic microorganisms from a spinning disk to a porous medium with hall current and anisotropic slip effects. ZAMM [online], 103(9), e202100575. Available from: https://doi.org/10.1002/zamm.202100575

Prompted by the advancements in hybrid bio-nano-swirling magnetic bioreactors, a mathematical model for the swirling flow from a rotating disk bioreactor to a magnetic fluid saturating a porous matrix and containing nanoparticles and gyrotactic micro... Read More about Computation of swirling hydromagnetic nanofluid flow containing gyrotactic microorganisms from a spinning disk to a porous medium with hall current and anisotropic slip effects..

Structural design and analysis of a high temperature solid oxide steam tubular electrolyser. (2023)
Presentation / Conference
KURUSHINA, V., SOMAN, A., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., HORRI, B., CAI, Q. and FAISAL, N. 2023. Structural design and analysis of a high temperature solid oxide steam tubular electrolyser. Presented at the 2023 All things hydrogen conference (ATH23) [online], 14 March 2023, Aberdeen, UK. Available from: https://tinyurl.com/56ut5jjb

The hydrogen production is an active area of the innovation and development in the perspective of the next decade, with the relative dominance of the alkaline, proton exchange and solid oxide (SO) technology. The gradual maturity of the latter techno... Read More about Structural design and analysis of a high temperature solid oxide steam tubular electrolyser..

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. (2023)
Journal Article
PARMAKSIZ, H., YUZGEC, U., DOKUR, E. and ERDOGAN, N. 2023. Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. Knowledge-based systems [online], 268, article 110472. Available from: https://doi.org/10.1016/j.knosys.2023.110472

The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for complex optimization problems. Despite its widespread application, the abundance of social behaviors in its construct can lead to poor accuracy in solutions... Read More about Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting..

Advances in sustainable nanocomposites. (2023)
Journal Article
SAHARUDIN, M.S., ILYAS, R.A., AWANG, N., HASBI, S., SHYHA, I. and INAM, F. 2023. Advances in sustainable nanocomposites. Sustainability [online], 15(6), article number 5125. Available from: https://doi.org/10.3390/su15065125

Advances in Sustainable Nanocomposites is a newly opened Special Issue of Sustainability, which aims to publish original and review papers on the new scientific development of sustainable nanocomposite materials that are accelerated by zero-carbon po... Read More about Advances in sustainable nanocomposites..

Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. Corrosion engineering, science and technology [online], 58(3), pages 281-321. Available from: https://doi.org/10.1080/1478422X.2023.2180195

Detecting and monitoring of corrosion is one of the major challenges in insulated metallic structures, or structures with one or more than one interface. This review paper aims to consolidate scattered literature on laboratory system-based corrosion... Read More about Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities..

Recent advances in MXene composites research, applications and opportunities. (2023)
Journal Article
SAHARUDIN, M.S., AYUB, A., HASBI, S., MUHAMMAD-SUKKI, F., SHYHA, I. and INAM, F. [2023]. Recent advances in MXene composites research, applications and opportunities. Materials today: proceedings [online], In Press. Proceedings of the 2022 Composite sciences and technology international conference (COMSAT2022), 22-23 August 2022, Johor, Malaysia. Available from: https://doi.org/10.1016/j.matpr.2023.02.435

MXene composites have emerged as a promising class of materials due to their exceptional properties and versatility in various applications. In recent years, researchers have made significant progress in the development and characterization of MXene... Read More about Recent advances in MXene composites research, applications and opportunities..

Optimization of biodiesel production from waste cooking oil using a green catalyst prepared from glass waste and animal bones. (2023)
Journal Article
ASAAD, S.M., INAYAT, A., JAMIL, F., GHENAI, C. and SHANABLEH, A. 2023. Optimization of biodiesel production from waste cooking oil using a green catalyst prepared from glass waste and animal bones. Energies [online], 16(5), article 2322. Available from: https://doi.org/10.3390/en16052322

Biodiesel as a fuel has been shown to positively impact the environment; replacing or reducing the dependence on fossil fuels while providing a viable alternative. The use of waste oils, such as non-edible or used oils, can reduce competition with fo... Read More about Optimization of biodiesel production from waste cooking oil using a green catalyst prepared from glass waste and animal bones..

Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. (2023)
Thesis
ADEGBOYE, M.A. 2023. Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2071535

Pipelines are often subject to leakage due to ageing, corrosion and weld defects. It is difficult to avoid pipeline leakage as the sources of leaks are diverse. Various pipeline leakage detection methods, including fibre optic, pressure point analysi... Read More about Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation..