DEPARTMENT OF THE MECHANICAL ENGINEERING

This project explores the design and fabrication of a hydrolysis-based cooker, an innovative cooking device that applies controlled hydrolysis and thermal processes to generate heat for domestic cooking. Motivated by the need for sustainable, affordable, and clean cooking technologies particularly in rural parts of Nigeria and the West African region the study evaluates how scientific principles such as heat transfer, energy conversion, and material behavior can be optimized to create an efficient alternative to conventional biomass and fossilfuel stoves.
A comprehensive literature review was conducted to analyze existing cooking technologies, the application of hydrolysis and related thermal reactions in industrial systems, and previous research on fabrication techniques and material selection. Insights from these studies guided the conceptual development, material choice, and design framework for the prototype. The project also identifies critical gaps in current knowledge and technology, including affordability and cost gaps, materials and durability gaps, local adaptation and user context gaps, system integration and design gaps.
The resulting prototype demonstrates the feasibility of integrating hydrolysis into a functional domestic cooking system, offering potential advantages in energy efficiency, safety, and environmental impact. This work contributes to ongoing efforts to develop innovative, sustainable, and locally adaptable cooking technologies for households in energy-challenged communities.

The unending evolution of technology has led to the innovations in everyday facilities, and restroom infrastructure isn’t left out. This project focuses on the DESIGN AND
IMPLEMENTATION OF AN AUTOMATED TOILET for the Mechanical Engineering Department of the University of Benin. This automated toilet integrates automation, hygiene, and efficiency-enhancing features to improve user experience, environmental sustainability, and operational convenience. The system incorporates a limit switch which sends signal to the modified autoflush device whenever a user opens the door, contactless flushing, odor detection, water efficiency mechanisms, enhanced hygiene protocols and a automated lock which incorporates both biometrics and a card reader to enforce access control. The design process involved conceptualization, material selection, fabrication, and performance testing. All ensuring optimal functionality in the university environment. The Testing results indicated that the automated toilet performed efficiently, with responsive automation and reliable hygiene features being implemented to foster a contactless user
experience. The implementation of this system demonstrates the potential of automated restroom solutions in the enhancement of sanitation, water wastage, while also providing a modern, user-friendly facility. Some future improvements could include ultrasonic sensors for higher precision, improved water conservation strategies, and also more compact design elements. This project highlights the role of automated technology and modification in modern sanitation and its potential for broader applications in both public and private facilities.

Conventional heat exchangers face a fundamental trade-off between thermal
effectiveness and hydraulic performance. Triply Periodic Minimal Surfaces (TPMS),
enabled by Additive Manufacturing, present a promising solution, offering high
surface-to-volume ratios and complex internal geometries that promote enhanced flow
mixing and heat transfer. This research details the design and numerical analysis of a
heat exchanger utilizing a Gyroid TPMS core. The primary objective was to assess its
thermal-hydraulic performance using Computational Fluid Dynamics (CFD) and
benchmark it against a conventional plate-type exchanger.
The methodology employed a novel computational workflow, beginning with the
generation of the complex implicit geometry in nTopology. This model was then
exported to Ansys Fluent for simulation. A full-scale Conjugate Heat Transfer (CHT)
analysis was conducted, using the k-ω SST turbulence model to accurately resolve the
flow and thermal coupling. The intricate geometry's meshing challenge was overcome
using the Fault-Tolerant Meshing (FTM) workflow.
The validated simulation results demonstrated the superior hydrodynamic efficiency of
the Gyroid TPMS design with a 1370% lower pressure drop and 570% less pumping
power. This presented a clear trade-off, as the conventional plate-type transferred 2.4
times more heat but at a substantial pressure cost. This study successfully validates a
robust computational workflow for analysing complex TPMS geometries and
concludes that these architectures provide a viable path toward developing more
compact, lightweight, and thermally efficient heat exchangers.

This study conducted a comprehensive hydrodynamic analysis and environmental adaptation of a trimaran model specifically designed for Nigerian coastal and inland waters. Employing Computational Fluid Dynamics (CFD) simulations, this research analyzed resistance, stability, maneuvering, and wave-making resistance. The CFD simulations, performed using the k-ω Shear Stress Transport (SST) turbulence model, captured critical hydrodynamic behaviour, including flow separation and wake interactions, with grid resolutions optimized through a grid independence study. Results showed that the refined grid achieved a stable resistance
prediction at 125.4N, maintaining a y-plus range of 20 to 90 for accurate boundary layer modelling. There was a non-linear increase in resistance, reaching 450kN at 25 knots, and a metacentric height of 2.8m at a 10-degree heel angle, ensuring stability. Maneuvering
analyses indicate a turning radius of 350m at a 25-degree rudder angle, demonstrating the trimaran's agility in confined waterways. Environmental adaptation showed a 20% increase in resistance under rough sea conditions, emphasizing the need for design optimizations. These findings highlight the trimaran's suitability for the challenging maritime conditions of Nigeria, balancing efficiency, stability, maneuverability, performance, safety, and adaptability while offering insights to optimizing future trimaran designs under similar environmental constraints. These findings also provide a framework for future designs that address local environmental challenges while maximizing operational efficiency. Nonetheless, optimizing side hull configurations to enhance wave cancellation effects and reducing wetted surface area to improve drag performance is recommended.

This research presents the design and implementation of an integrated fuzzy logic–based decision-making system for autonomous vehicle navigation, focusing on intelligent speed regulation, steering control, and lane keeping. A three-degree-of-freedom (3-DoF) dual-track vehicle dynamics model was developed in MATLAB/Simulink to capture longitudinal, lateral, and yaw behaviors. The control architecture uses a Takagi–Sugeno fuzzy inference system to process speed error, distance error, and yaw deviation, generating throttle and steering actions that emulate human driving intuition. A simulation-based framework was developed for both ego and target vehicles, enabling the evaluation of inter-vehicle distance, trajectory following, and lane stability across straight and curved road sections. Results show that the fuzzy controller reduced longitudinal speed error to below 0.25 m/s, maintained lateral deviation within ±0.12 m on curved paths, and improved yaw rate tracking with a settling time of 1.8 s compared to 3.1 s without fuzzy control. The controller also limited throttle oscillations to less than 5% and sustained a safe inter-vehicle distance with less than 7% deviation from the desired headway. Overall, the research establishes a computationally efficient fuzzy-logic framework suitable for autonomous-vehicle applications, and the findings confirm the controller's robustness and adaptability in a virtual test environment.

Teleoperated robots with 4 degrees of freedom (DOF) are highly agile machines that are usedina variety of applications where it is not safe or practical for a human to be present. These robotsare equipped with precise control systems and are capable of manipulating objects of varyingsizes and masses. In this study, we evaluated the performance and capabilities of a teleoperatedrobot with 4 DOF through a series of tests. The tests were designed to evaluate the robot's ability to lift and manipulate objects, as well asitsefficiency in terms of power consumption. The results of these tests were analyzed throughcalculated and plotted graphs for mass, current, and electric power over time. The results showed that the teleoperated robot was able to lift and manipulate objects of varyingsizes and masses without exceeding the maximum allowable values. This demonstrates therobot's strong and precise control over its movements and the ability to handle a wide rangeofpayloads. The electric power graph showed that the robot was able to operate efficiently, withthe power consumption remaining within acceptable limits. This is important for maintainingthelongevity and reliability of the robot, as well as minimizing energy costs. Overall, the teleoperated robot demonstrated good performance in the tests conductedandissuitable for use in a variety of applications. The robot's strong and precise control, abilitytohandle a wide range of payloads, and efficient power consumption make it a valuable asset infields such as manufacturing, medical surgery, and disaster response.

The increasing global demand for clean and sustainable energy has intensified the need for innovative solutions that harness renewable resources. This project explores the design and implementation of hybrid electricity generation system that integrates wind turbines and solar photovoltaic (PV) panels. By combining these two complementary energy sources gives an efficient means of power generation, particularly in regions with variable weather conditions. The wind turbine component captures kinetic energy from wind currents, while the solar panels convert sunlight into electrical energy. Together, they form a synergistic system capable of reducing dependence on fossil fuels, minimizing environmental impact, and enhancing energy security. The project also examines key technical aspects such as system configuration, energy storage, power conversion, and grid integration. Through simulation and analysis, the study demonstrates the feasibility and benefits of hybrid renewable energy system in meeting electricity demands sustainably. The motivation for developing a hybrid wind and solar power system stems from the growing need for sustainable and reliable energy

Robots are becoming more relevant across multiple industries; therefore, it is important for
engineers to innovate in all aspects of this technology. This Project explores the concept of inverse kinematic control in robotics, its significance, difficulties and explores a solution using Neural networks. It presents an analysis of the forward kinematics of various robot arms-using the Denavit-Hartenberg method- as a way to generate the data set for training and testing the Neural network, until a suitable performance benchmark was reached. The information on the robot arms that were analyzed was gotten from manufacturers publications, open to the public. Some of the robot arms considered includes; ABB IRB 1600; a 6dof robot arm, FANUC LR Mate 200iC; a 6dof robot arm, The Universal Robots UR10; a 6dof robot arm, among others. This project considers one of the simplest machine learning models for regression analysis, the Artificial Neural Network (ANN) The trained model displayed high accuracy in predicting the suitable joint angles, with all trained models having a R squared value above 0.70.

This study investigates the impact of Nigeria’s tropical environment on the performance of marine diesel engines, focusing on how climatic factors such as air temperature, humidity, atmospheric pressure, and seawater temperature influence engine efficiency Nigeria’s coastal regions are characterized by consistently high temperatures, intense humidity, and seasonal rainfall variations all of which can affect combustion efficiency, cooling capacity, and fuel consumption in marine engines.

The increasing need for effective and cheap surveillance solutions across various sectors in Nigeria, including security, agriculture, environmental protection, and disaster management and development of homemade drones. Although quite popular and ubiquitous in technologically advanced nations, drones are currently not being produced in Nigeria that can be used for both surveillance and monitoring. Modifications were done on a locally adapted drone assembled from parts sourced abroad. The
drone was enhanced with advanced technical capabilities optimizing it for smooth surveillance operations. Major modification upgrades include the integration of pivotal components including microchips ranging from Raspberry Pi 5, Arduino Atmel Amega 2560, STM32H7 controller, along with the Pixhawk 2.4.8 flight controller, a high-resolution Raspberry Pi Camera Rev 1.3, ultrasonic sensors, PWM to PPM converter, and GPS navigation system into the F450 drone frame. These enhancements allow for functionalities such as object tracking, obstacle avoidance, and an automatic return-home capability, enhancing the drone's adaptability for various surveillance applications