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Ongoing project

An Integrated Smart Manufacturing and Industrial Automation Demonstration Platform for Automated Material Handling and Sorting

Summary

Industrial automation education often faces a gap between theoretical classroom instruction and the practical automation systems encountered in industry. Students may learn PLC programming, sensors, actuators, industrial control and human-machine interfaces as separate concepts, but have limited opportunities to interact with an integrated industrial production system. This project will address this gap through the development of a small-scale industrial automation demonstration and material sorting system incorporating conveyor belts, industrial-grade sensors, actuators and a Siemens PLC for automated identification and sorting of materials such as metal and plastic.

The system will provide a realistic industrial environment in which students can develop, program, test and troubleshoot automation processes. A corresponding virtual model will be developed in Factory I/O to enable simulation and virtual commissioning of the production line, while an HMI will be designed for process monitoring, operator control and visualization of system status. The project will provide a reusable platform for practical training, undergraduate projects and research in PLC-based automation, industrial sensing, HMI development, virtual commissioning and smart manufacturing. It will strengthen the laboratory's capacity to expose students to industrial automation practices and technologies while creating a foundation for future integration of robotics, industrial communication and Industry 4.0 technologies.

Project team

Principal Investigator

Lubega Phaisal

Researcher

Martin Galiwango

Researcher

Mackenzie Tuhirirwe

Researcher

Robert Asiimwe Wandera Joseph

Research connections

Focus, impact, and collaboration