Digital Twin in Metal Additive Manufacturing: Synchronization and Automation in Process Monitoring

Institut

Professur für Laserbasierte Additive Fertigung

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

experimentell / konstruktiv /  

Beschreibung

Initial Situation:

The Professorship for Laser-based Additive Manufacturing is researching innovative concepts in Laser-based Powder Bed Fusion of Metals (PBF-LB/M), an additive manufacturing process that creates components by successively melting metal powders in layers with a laser. 

The EU research project InShaPe, within the framework of which this work is being carried out, focuses on establishing a "first-time-right PBF-LB/M" process that will make additive manufacturing with metals significantly faster, cheaper, and more sustainable. This is achieved through two innovations: an AI-based beam shaping module that enables the adjustment of the intensity distribution of the laser beam, and a multispectral camera for process monitoring.

Aim and Content of the Work:

The main objective of this thesis is to synchronize multispectral imaging (MSI) data with process information, automate the monitoring system, and develop a digital twin—a comprehensive 3D representation of the process incorporating temperature data. The work will involve devising a conceptual framework and implementing programming solutions to link melt pool images accurately to the process, utilizing advanced temperature calculation algorithms.

As part of this thesis, you will collaborate with a highly motivated team on a unique and innovative system concept with strong industrial relevance and diverse challenges.

Thesis Work Packages (WP):

WP1: Literature review of AM process monitoring and process automation.

WP2: Refine the current framework of synchronization.

WP3: Implement and validate the synchronization of MSI data with the PBF-LB/M process

WP4: Develop an automated software package for process monitoring

WP5: Create a digital twin to visualize the synchronized process data, including 3d information and temperature mapping.

WP6: Discussion and documentation.

 

Voraussetzungen

Requirements / Application documents
- Programming skills and data management.

- Communication and problem solving abilities.

- A keen inclination towards experimental design and an analytical approach to research.

- A willingness to spearhead AM experiments.

Please send your application with your CV, a brief motivation letter and a current transcript of grades to:

Contact
Ruihang Dai, M.Sc.
ruihang.daitum.de

Möglicher Beginn

sofort

Kontakt

Ruihang Dai
Raum: 5501.02.134
ruihang.daitum.de

Ausschreibung