TwinCE – Supply-chain-integrated cross-product lifecycle information management for non-ferrous metals
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Teaching, Research, and Application
At the Chair of Materials Science and Testing, we combine teaching, research, and practical application in the development, characterization, and evaluation of materials. Our work ranges from analyzing material science relationships to solving practical problems in science and industry. Here, students, researchers, and industry partners can find information on courses, research projects, and opportunities for collaboration.
Research
Everything about our current research topics
Material Fatigue
We investigate how cyclic loads damage materials and how service life, safety, and component reliability can be evaluated.
Hybrid and Additive Manufacturing
We are investigating how additive and hybrid manufacturing processes specifically influence the material state, microstructure, and component properties.
Innovative High-Temperature Materials
We analyze materials designed for high operating temperatures and evaluate their behavior under thermal, mechanical, and corrosive stress.
Circular Material Design
We develop approaches to use materials in a resource-efficient manner, increase recycling potential, and make recycling loops technically viable.
Turn Materials into Your Strength
Learn to understand materials as a technology—as a specialization in the Master’s program in Business and Industrial Engineering or Mechanical Engineering, or in the Materials Science & Engineering program.
Business and Industrial Engineering
Master
Mechanical engineering
Master
Materials Science & Engineering
Master
Publications
Evaluation of the Efficiency Measurement Uncertainty of Electric Drive Test Benches for Direct Data-Driven Control Optimization
Evaluation of the Efficiency Measurement Uncertainty of Electric Drive Test Benches for Direct Data-Driven Control Optimization
Development of a black-box two-level igbt three-phase inverter compensation scheme for electrical drives
Development of a black-box two-level igbt three-phase inverter compensation scheme for electrical drives
HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores
HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores
Arbeitspunktsteuerung zum wirkungsgradoptimierten Betrieb von Asynchronmaschinen
Arbeitspunktsteuerung zum wirkungsgradoptimierten Betrieb von Asynchronmaschinen
Study of inclusive B- and anti-B0 decays to
flavor-tagged D, D(s) and Lambda+(c)
Study of inclusive B- and anti-B0 decays to
flavor-tagged D, D(s) and Lambda+(c)
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
Contact the Department
Postal address
University of Siegen
School IV, Department of Mechanical Engineering
Chair of Materials Science and Materials Testing
Paul-Bonatz-Straße 9-11
57076 Siegen
Secretariat
You can also contact Ms. Struck by email at any time.
christina.struck@uni-siegen.de