Faculty of Engineering and Technology

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Browsing Faculty of Engineering and Technology by Author "A.S., Olawore"

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    2D Flow around a Rectangular Cylinder: A Computational Study
    (AFRREV STECH: An International Journal of Science and Technology, 2013-01-01) A.S., Olawore; I.F., Odesola
    The unsteady flow around a rectangular cylinder is an area of great research for scientist for several years. A two-dimensional unsteady flow past a rectangular cylinder has been investigated numerically for the low Reynolds numbers (flow is laminar). Gambit has been used throughout this work to generate the geometry and meshes and the computational fluid dynamics analysis is done using fluent software. The influence of vortical structure and pressure distribution around the section of rectangular cylinders are examined and reported. The integral aerodynamic parameters are also reported. Strouhal numbers for Reynolds numbers of 55, 75, 100, 150, 250 and 400 are 0.102, 0.122, 0.129, 0.136, 0.139 and 0.158 respectively. The magnitudes of the coefficient of drag for the Reynolds numbers are 1.565, 1.524, 1.432, 1.423, 1.526 and 1.545. The lift coefficient for flow around a rectangular cylinder with a chord-to-depth ratio equal to 5 of low Reynolds numbers of 55, 75, 100, 150, 250 and 400 are 0.067, 0.101, 0.157, 0.212, 0.404 and 0.537 respectively. The pressure drags obtained in the simulations at zero angle of incidence are 1.446, 1.455, 1.439, 1.412, 1.579 and 1.602 for Reynolds numbers 55, 75, 100, 150, 225, and 250. The velocity across the rectangular cylinders varies from 0.089 to 1.02m/s. The forces caused by vortex shedding phenomenon must be taken into account when designing buildings for safe, effective and economical engineering designs.
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    Enhancing Functionalities of Paints with Nanoparticles: A Review
    (Nano Plus: Science and Technology of Nanomaterials, 2021-10-21) A.S., Olawore; Asafa T. B.,; K.O. Oladosu; Lateef A.; M.O. Durowoju
    Nanoparticles-modified paints have shown huge potentials in a broad range of functionalities like surface protection, antifouling, corrosion resistance, self-cleaning, slip resistance, abrasion resistance among others. Consequently, they have been deployed for several industrial applications including pipelines, build-ings, automobiles, electronics, among others. To further enhance their function-alities, paint industries have expended huge resources on research and develop-ment of advanced paints that are compatible and appropriate for today’s hostile environments. Studies have been conducted on the utilization of degradable bio-cides such as zinc oxide nanoparticles (ZnONPs), silver nanoparticles (AgNPs), copper nanoparticles (CuNPs), photocatalytic-active nano-titanium dioxide nano-particles (TiO2NPs), and silica dioxide nanoparticles (SiO2NPs) as major addi-tives in paints. These additives are designed to offer improved surface protection against microbial, physical, and chemical deteriorations as well as enhanced scratch resistance. However, the addition of nanoparticles to paints is not without its demerits. Nanoparticles can agglomerate within the paint matrix leading to poor surface protection. In addition, the health and safety concerns from human exposure to emissions of nanoparticles must be adequately addressed. A few reported studies on the toxicology of nanoparticles are either short-termed or having variant or inconclusive results. This paper reports a critical assessment of nanoparticles as additives in paints. Extensive characterization of nanoparticle-modified paints is reported while the implications on the environment are also explored. New directions, targeting enhanced functionalities and lower toxicity, are proposed.
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    Performance Evaluation of a Single Cylinder Spark Ignition Engine Fuelled by Mixing Ethanol and Gasoline
    (J. Appl. Sci. Environ. Manage., 2021-05-07) A.S., Olawore; W.I., OSENI; K.O., OLADOSU; E.O., FADELE
    The use of ethanol blend as an alternative source of fuel for developing clean and sustainable energy sources has grown considerably. In this study, the performance characteristics of an air-cooled, single-cylinder 4-stroke Spark Ignition (SI) engine (TD201) with a compression ratio of 8.5:1 was determined using gasoline and different blend ratios of ethanol and gasoline (E0, E2, E4, E6, E8, E10, and E12) at a varied engine speed of 2000rpm, 2200rpm, 2400rpm, 2600rpm and 2800rpm. The results revealed that as the ethanol content of the blend increases, the heating value decreases while octane value increases. The experimental results indicated that the brake torque, and power increase as the ethanol content in the blends increases. However, BSFC and exhaust temperature decreases as the ethanol content in the blends increases because of the oxygen enrichment. The emissions of unburned hydrocarbon and carbon monoxide reduce while carbon dioxide and ethanol content increases when compared with the reference fuel (E0).
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    Prediction of municipal waste generation using multi-expression programming for circular economy: a data-driven approach
    (Springer Nature, 2024-10-26) A.S., Olawore; K.Y. Wong; K.O. Oladosu
    The existing surge in municipal waste generation (MWG), characterized by swiftly changing and uncontrollable factors, poses a significant challenge to sustainable development. This prompted the need for improved predictive models to guide strategic waste management within the circular economy framework. This study aims to develop a predictive model using multi-expression programming (MEP) to assess MWG. The model was developed using historical data on socioeconomic and environmental factors and validated via comparative analyses with artificial neural network (ANN), random forest (RF), and multiple linear regression (MLR) using various evaluation metrics. The parametric and sensitivity analyses of the MEP model were also conducted. The MEP, ANN, RF, and MLR models have a coefficient of determination (R2) (for testing datasets) of 0.977, 0.974, 0.957, and 0.964, respectively. The MEP model is superior in terms of accuracy and performance for the prediction of MWG when compared to the other three models. The sensitivity analysis revealed the relative importance of each input variable in the established MEP model. The novelty of this research lies in the application of MEP to predict MWG and the formulation of a new mathematical model that links socioeconomic and environmental factors with MWG. The model can be used by waste management authorities to optimize waste collection, transportation, and disposal infrastructure for an effective circular