School of Mechanical & Aeronautical Engineering
DC Brushless Motor with Digitalized Potentiometer Control
A 2kW DC brushless motor is controlled using computer vision, realised through the use of AI, using deep learning (Neural Networks) on Single Board Computers). The motors are controlled by Computer Vision remotely, for example, via wireless
connection. A mini electric vehicle can be built to house the 2kW motor.
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Design and Develop a Train Driving Simulator 3
This project aims to design and develop software and hardware for a Train Driving Simulator which is cost-effective, portable, and capable of reproducing with high-degree of immersion of normal and abnormal scenarios to maintain drivers'
competency in handling train faults.
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Development of Digital Twin for Facility
The Digital Twin uses sensors to gather information of the Physical Twin in the real world and uses it to create a digital replica of the object. The Digital Twin for a building facility is a working digital replica of building’s
facility system and serves as an intelligent interface to the Physical Twin for smart operations, monitoring various operational parameters and maintenance planning.
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Elevator Monitoring System
This project aims to design and develop an elevator monitoring system on an actual elevator and a prototype elevator model. The system captures the elevator door gaps, elevator travel and elevator brake. A warning or pre-emptive signal
is triggered when the monitoring data exceeds the specified threshold. The existing elevator system will be modified to accommodate the monitoring system.
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Indoor Air Quality (IAQ) Studies in Machine Shop Floor Environment
The project involves data mining and analytics on Indoor Air Quality in MAE workshops. It studies the correlation between machine usage and the quality of indoor air with summarised data results recorded weekly. Data gathered are then
used to study the possibility of maintaining good IAQ to reduce the negative impact on workshop users including recommendations on how to improve the IAQ.
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Industry 4.0 Mini Station for Smart Factory
Industry 4.0 Mini Station for Smart Factory is a project which showcases the mechatronic system used in a typical factory for production. Coupled with some of the I4.0 technologies such as MQTT, EtherCAT, IO-link sensors and Structured
Database, the automation station can be monitored and controlled remotely over computer and smartphone.
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Micro Propulsion Thrusters Using Green Propellants
The focus of this project is to design and build a low thrust satellite propulsion system that uses Nitrous Oxide and Ethanol, which is less toxic , cheaper to store and handle, instead of propellants that are currently utilized (e.g.,
Hydrazine & Nitrogen Tetroxide).
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New Outdoor Parasol Design
This project aims to design and develop a new outdoor Parasol design for assembly efficiency, product reliability and user desirability. The project focuses on a new jointers and hub design.
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Smart Design Automation
This project includes improvement of the past fixture and validation of machining operations using MasterCAM. The machining operations are then fine-tuned to optimise the overall machining time. The fine-tuned template will then be passed
to CMM for final inspection and eventually for continuous improvement assessment for the design and drafting in automation production process.
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WorldSkills Singapore: Sheet Metal and Composite Repair Techniques
The skills needed include technical troubleshooting, repairing, and maintenance of all types of aircraft. This project aims to improve one of the training processes (Sheet Metal or Composite Repairs) while attaining the skills and knowledge
for this project.
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SPES2023 Video Highlights
Projects from other Schools/Centres: