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.

Resource-efficient RLAIF for domain adaptation of LLMs for VUIs

Automated CAM planning using artificial intelligence

Use of large language models for life cycle assessments

Integrated factory layout and sequence planning using metaheuristic optimization methods

Development of an experimental setup for edge-based real-time control of a CNC axis using artificial neural networks

Concept for the evaluation of AI potentials for production-related use cases

Comparative analysis of quantum computing platforms for sequence planning

Development of a nonlinear optimization model to solve factory layout planning using a quantum hybrid solver

Potential analysis of quantum machine learning in production

Cooperation project: Investigations on the influence of modeling on the optimization of production systems

Explainability of graph-based deep learning for work planning

Control of a decentralized energy supply system with reinforcement learning

Comparison of vision transformers and transfer learning on CNN for component classification

Comparison of attribution masks in transfer learning for the classification of component variants

Optimization of 6G NiN subnetworks for application in industrial plants

Machine learning in machining

Development of a simulation model of laser deposition welding (DED-LB)

Integration of machine learning in additive manufacturing

Development of a production demonstrator

Use of LLMs to customise machine control code

Investigation of 6G positioning technology for industrial metaverses

Balancing the ecological, social and economic impact of carbide tools made from critical materials

Use of large language models for life cycle assessments

Life cycle assessment of additive-subtractive process chains in additive manufacturing

Energy data collection and life cycle assessment of hybrid process chains in additive manufacturing

Use of large language models (LLMs) to generate process chains in the life cycle assessment of tools

Development of an adjusting device for a grinding wheel unit

Design of a combined sensor and actuator holder with integrated cooling function

Development of a kinematic process simulation of micro milling cutter production

FE-based analysis of the rotor deformations of an air bearing spindle under different loads

Simulation of the influence of cryogenic cooling on the process-induced residual stresses for distortion compensation of aluminum components

Evaluation of the cryogenic machining of additively manufactured AlSi10Mg components

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

Thermographic analysis of the turning process of AISI 347 using different mass flows of cryogenic minimum quantity lubrication (kMMS)

Characterization of the influence of cryogenic cooling strategies on the process-induced residual stresses and distortion of aluminum

Analysis of the additive-subtractive process chain for functionally graded materials (FGMs)