EGHOSA OMO-OGHOGHO

The growing demand for compact, high-performance electronic devices has intensified the challenge of managing heat generation, which can significantly affect system reliability, efficiency, and lifespan. This study focuses on the design and simulation of a mechatronic cooling system for electronic devices, integrating thermal, electrical, and control subsystems into a unified framework for intelligent temperature regulation. The primary aim was to develop a system capable of maintaining thermal stability and optimizing energy consumption under varying operating conditions. The design approach employed a Battery Management System (BMS) architecture enhanced with active thermal management, including temperature sensors, actuators, and adaptive control logic. The simulation was conducted under dynamic load conditions using a multi-module configuration to emulate real-world electronic systems such as electric vehicle battery packs. Key parameters evaluated included vehicle speed, battery pack temperature, pump power, and refrigerant power. Results showed that the system effectively reduced and maintained the battery pack temperature from approximately 30°C to 20°C, demonstrating efficient heat dissipation and temperature stability. The pump and refrigerant subsystems exhibited adaptive behavior, automatically adjusting power consumption in response to real-time temperature variations. This confirmed the system’s ability to achieve energy-efficient cooling and dynamic thermal control without manual intervention. The findings indicate that the proposed mechatronic cooling system successfully integrates sensors, actuators, and intelligent control algorithms to ensure effective and autonomous thermal regulation. The system’s energy optimization, realtime adaptability, and scalability make it suitable for diverse applications such as battery cooling, processor thermal management, and power electronics systems. In conclusion, the study validates the potential of mechatronic-based cooling systems as a reliable, efficient, and sustainable solution for modern electronic devices. Future work should focus on hardware prototyping, controller optimization using advanced algorithms, and exploration of alternative cooling fluids to further enhance system performance and sustainability.

An automated lawn mower is a machine designed to cut grass without requiring human guidance or control. With the continuous advancements in technology, automation has become integral to nearly every aspect of modern life. From household appliances to industrial machinery, automation has transformed the way we interact with our environments, reducing manual labour and improving overall efficiency. The emergence of automated lawn mowers follows this trend, replacing the conventional lawn mowing technology that demands significant human effort. This work aims to develop an improved automated lawn mower that
is both economically accessible and user-friendly, designed with locally sourced materials to minimize production costs. Unlike the existing robotic lawn mowers technologies, our model emphasizes a simple design making it easy to maintain and repair without specialized tools or skills. It is equipped with advanced sensor technology like the HC-SR04 ultrasonic and infrared sensors for obstacle detection and avoidance within the ranges of 10 to 50cm. When operating at a distance beyond 50cm, the mower consistently moved forward indicating an environment with no obstacles. Within a range of 30 to 50cm, the system effectively slowed the mower, achieving a 150millisecond response time and 98% accuracy. At closer proximities of 10 to 30cm, the mower reversed and turned with a slightly reduced accuracy of 95% and a 180millisecond response time, while obstacles detected at less than 10cm prompted at immediate stop within 120milliseconds at a 97% accuracy rate. It also integrates a 5kHz electromagnetic perimeter wire for systematic navigation and is powered by an 18V DC rechargeable battery, making it both sustainable and eco-friendly.