Adefemi Adeodu's Publications

Investigation of the Mechanical and Thermal Properties of Carbon Fiber Impregnated with Groundnut Shell Bio-composite

The growing demand for sustainable materials has prompted significant interest in bio-composites that blend natural and synthetic components. This study investigates the mechanical and thermal properties of hybrid composites made from carbon fiber and groundnut shell, an agricultural by-product. Five composite samples with varying ratios of carbon fiber (CBF) and groundnut shell (GNS) were prepared using epoxy resin as the

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Design and Simulation of Locust Beans (Parkia Biglobosa) Processing Plant

African locust beans (Parkia biglobosa) have a rich nutritional content and distinctive flavour, which makes it useful as a food condiment. However, its traditional processing is inefficient and labour-intensive. Hence, this study aims to design and simulate a locust bean processing plant to address challenges posed by conventional methods of locust bean production, including low production, poor packaging, seed degradation,

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OPTIMISING MATERIAL SELECTION FOR AIRCRAFT WING DESIGN USING RADAR MULTI-CRITERIA DECISION-MAKING AND SIMULATION APPROACHES

This study employs a multi-criteria decision-making (MCDM) support specifically the Ranking Based on Distance and Range (RADAR-DR) and Relative Assessment of Decision Alternatives with Ranges (RADAR-ABER) techniques for the selection of materials for the development of an aircraft wing. The ABAQUS® commercial software code was used for the modeling and simulation analyses to determine the suitability of selected materials such

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Development of ISO 9001-compliant quality assurance model for residential building construction in South Africa

The imperative to enhance quality standards in South Africa’s residential construction sector remains urgent, particularly given persistent quality lapses and rising stakeholder expectations. This study proposes a comprehensive ISO 9001-compliant quality assurance (QA) model tailored to residential building projects in South Africa. Using the Fishbone (Ishikawa) diagram for root cause analysis, six major quality determinants—human factors, technological tools, design and

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Multi-agent reinforcement learning framework for autonomous traffic signal control in smart cities

Introduction: The increasing urbanization across the world necessitate efficient traffic management especially in the emerging economies. This paper presents an intelligent framework aimed at enhancing traffic signal management within complex road networks through the creation and evaluation of a multi-agent reinforcement learning (MARL) framework.Methods: The research explored how Reinforcement Learning (RL) algorithms can be employed to optimize the flow of

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Cutting force and surface roughness prediction of Al 6065T6 during turning operation using response surface methodology, machine learning, and simulation‑based approach

The dynamics of cutting operation necessitate the use of a reliable predictive model for accurate prediction of machining parameters, namely, cutting force (CF) and surface roughness (SR). This study predicts the cutting force and surface roughness of Al 6065 T6 during turning operation using a combined approach, namely, surface response methodology (RSM), machine learning (ML), and computer-aided simulation-based approach. The

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Performance evaluation and Optimization of a Small-Scale Laser Cutting and Engraving Machine

ABSTRACT— The Computer Numerical Control (CNC) technology has been widely adopted in most convectional machines commonly used in manufacturing workshop, to automate, monitor, and control a machine’s movements. This is to promote time and cost effectiveness in manufacturing operation of such machines to achieve generation of high precision movement of the working tools and the work piece for the realization

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Effects of Graphene Nanoplatelets Dispersion onthe Thermal Stability and Glass TransitionTemperature of Polymer Nano-Composites

Abstract— A study was conducted to examine the impact of graphene nanoplatelets (GNPs) on the thermal characteristics of polymer nanocomposites, which are extensively utilized in packaging, biomedicine, and microelectronics. Following ASTM guidelines, samples of GNPs and epoxy were made by shear mixing and solution compounding. Thermo Gravimetric Analyzer (TGA) and Differential Scanning Calorimetry (DSC) were used to assess the samples’

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Development of Automated System for Logistics and Inventory Management

Abstract: The shop floors require material, machinery, equipment and tools, information technology, quality control, storeroom, manpower resources for manufacturing of intermediate or final product and inventory management. In this study, an automated logistics and inventory management system was developed for shop floors to improve the production efficiency. A sensing system was developed based on the framework of Internet of things

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