Master Thesis: »Automated Process Optimization through Industry 4.0 Simulation«

Fraunhofer-Gesellschaft; Aachen; Vor Ort; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

Eine führende Forschungseinrichtung in Aachen sucht eine/n Werkstudent/in (m/w/d) für die Abteilung High-Performance Cutting. Sie arbeiten an der Schnittstellenentwicklung zwischen CAM und Prozesssimulation, analysieren Toolpfade und dokumentieren Ergebnisse. Erforderlich sind Kenntnisse in Python und ein relevantes Studium. Flexible Arbeitszeiten ermöglichen die Kombination von Studium und Beruf.

Leistungen

Professionelle Betreuung und Zusammenarbeit im Team

Moderne Maschinenpark mit Edge-Cloud-Systemen und 5G-Infrastruktur

Flexible Arbeitszeiten

Qualifikationen

• Gute Kenntnisse in Python.
• Grundkenntnisse der Zerspanungstheorie.
• Erfahrung mit CAD/CAM Software ist ein großes Plus.

Aufgaben

• Erstellen einer Schnittstelle zwischen CAM und Prozesssimulationsplattformen.
• Untersuchung verschiedener Strategien zur Toolpfadoptimierung.
• Datenverarbeitung, -analyse und -visualisierung.
• Vorbereitung und Dokumentation der Ergebnisse.

Kenntnisse

Python

CAD/CAM Software (z.B. Rhino, Siemens NX)

Mechanik

Deutsch und/oder Englisch

Ausbildung

Studium Maschinenbau, Wirtschaftsingenieurwesen, Informatik oder vergleichbar

Jobbeschreibung

The »High-Performance Cutting« department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation to real-time data acquisition during production, consulting, and prototype manufacturing. The employees conduct research in many innovative topics, such as artificial intelligence, data-based quality prediction or even ecological life cycle assessment. Optimizing manufacturing processes for turbomachines especially aeroengine components are major focus area of the department. Previous research has shown that process planning has a high potential for automated optimization. Building upon this, you will advance our optimization pipeline and evaluate different optimization algorithms/strategies.

What you will do

• Create an interface between CAM and process simulation platforms to accelerate process optimization
• Exploring different strategies for toolpath optimization
• Data processing, analysis and visualization
• Preparation and documentation of results

What you bring to the table

• You are studying mechanical engineering, industrial engineering, computer science or a comparable subject
• You have good knowledge of Python
• You have basic knowledge of the theory of machining
• Experience in CAD/CAM software like Rhino or Siemens NX is a big plus
• Good language skills in German and/or English

What you can expect

• Professional supervision and collaboration in a dedicated team
• You become part of the team from the very beginning, can contribute your ideas and take on tasks on your own responsibility
• A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
• Flexible working to combine study and job in the best possible way

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

For any further information on this position please contact:

Aakash Singh M. Sc.
Research Assistant »High Performance Cutting«
Phone: [phone]

Fraunhofer Institute for Production Technology IPT

www.ipt.fraunhofer.de

Requisition Number: 80928 Application Deadline: