A Digital Twin-Driven Model for Mapping Part Quality in Multi Jet Fusion of Automotive Parts

This project focuses on digitalisation of Multi-Jet Fusion of polymeric components to solve the inconsistent mechanical properties observed in Multi-Jet Fusion 3D printing of automotive parts.

It aims to overcome a major issue with Multi-Jet Fusion, which is the quality variation based on the build position. The project aims to find the underlying physical principles for the effect of different liquid agents on the process temperature of MJF. In-situ monitoring MJF process to obtain thermo-optical based on the thermophysical properties of the feedstock is also another aim of the project. The final goal is to develop a new tool for mechanical properties assessment and the project is expected to bring significant benefits by establishing an independent digital ARC Early Career Industry Fellowships 2023 round 1 (IE230100678)

Key industry partner

Ford Motor Company

Team lead

Mahyar Khorasani, mahyar.khorasani@rmit.edu.au

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

More information