Student projects FBK - Fachbereich Maschinenbau und Verfahrenstechnik (RPTU)

Student work

At the FBK, students have the opportunity to work on tasks in the fields of production technology and production systems. The specific tasks are derived from the research fields of the FBK.

All assignments can also be viewed on the digital notice board in buildings 74 and 57 in the FBK areas.

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After clicking on a call for tenders, a new window opens with a password request
(enter the user name without @rptu.de).

Railway Tenders

Additive Manufacturing

Evaluation of Additively Manufactured AlSi10Mg Components Post-Processed by Mechanical Peening

Evaluation of remelting strategies for additive manufacturing (PBF-LB) of AlSi10Mg components

Deep Learning for Predicting Process States in Additive Manufacturing

Data-driven representations for multimodal sensor fusion in additive manufacturing

Investigation of the influence of low-temperature milling on additively manufactured AlSi10Mg components using internal cooling

Manufacturing Technology

Investigation of the Effect of Low-Temperature Milling on Additively Manufactured AlSi10Mg Components Using Internal Cooling

Evaluation of Additively Manufactured AlSi10Mg Components Post-Processed by Cryogenic Machining

Validation of Simulated Warpage Compensation for an Aerospace Alloy

FEM-based analysis of rotor deformations in an air-bearing spindle under various loads

Implementation and evaluation of a constant tooth feed rate during micro-milling under concentricity deviations

Microstructuring via laser ablation

Production Systems

Software-Defined Manufacturing in the Context of 6G: Development of a Wireless Control System Using a Handling Process as an Example

Resource-Efficient RLAIF for Domain Adaptation of LLMs for VUIs

Use of OpenClaw for Voice-Controlled CNC Machine Operation

Design of Hydrogen-Based Decentralized Energy Systems for Production Systems Through the Investigation of Reinforcement Learning-Based Control Strategies

Development of a Method for Knowledge Enrichment of AI Methods for Controlling CNC Machines

Investigation of AI methods for NC code generation from natural language

Comparison of small LLMs for voice user interfaces (VUIs) for machine control

Investigation of edge-based real-time control of a wireless machine using artificial neural networks

Utilizing demand forecasts based on the production schedule for reinforcement learning-based control of decentralized energy supply systems

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Student work

Railway Tenders

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Department of Mechanical and Process Engineering