This project is offered by Alushapes, an Australian company that carries out custom aluminium extrusion work for the Australian market. 

Project Description

In aluminium extrusion, heated aluminium is pressed through specially created dies, which determine the shape of the extrusion as it is pushed through the die. If the die is placed incorrectly in the extruder, the extrusion will not have the desired shape. Dies are expensive to customise and create and they often need to be changed as complex projects may require a number of extrusion shapes.

This is an early-mid stage discovery project aimed at finding AI-enabled operational solutions to automatically trace the location of dies around factory stations, preventing the misplacement of the dies and reducing reliance on human memory and errors. The intention is to automate the die retrieval process using robotic solutions.

Disciplines, Knowledge and Skill required

Suited to students in 3rd year or above from electrical, mechatronic, mechanical, chemical or software disciplines. Software students must be familiar with Python, Django and SQL programming. 

Format and Size

This project would work best in a class that had a range of disciplines (like a core subject). 

The industry partner will provide weekly Q & A sessions and possible site or virtual tours. 

Deliverables:

Alushapes would expect an engineering report and may be able to be present during a final presentation for help in assessment, though this greatly depends on availability and location of the classes. 

Contact Details:

Email your interest projects@engineeringfuturesinitiative.org