Ermittlung des Risswiderstands an Brückenstahl
This page was translated automatically using artificial intelligence (DeepL). The German version is binding. More information about automatic translation
Chair in Smart Materials
Teaching
- Atomic Structure
- Chemical bonds
- States of order with crystal structure and characteristics
- Lattice defects
- Phase transitions
- Nucleation and growth
- Basic types of phase systems, including
- Solid-state transformations
- Iron-carbon diagram
- ZTU/ZTA diagram for steels
- Strengthening mechanisms in metallic materials
- Crystal recovery and recrystallisation
- Tensile tests
- Hardness testing
- KBV
- Fatigue strength (single-stage Wƶhler test)
- States of matter with a crystalline structure and characteristics
- Lattice defects
- Phase transitions
- Nucleation and growth
- Phase diagrams
- Strengthening and weakening mechanisms
- Tensile tests and hardness testing
- Steels, steel designations and heat treatment of steels
- Aluminium and aluminium alloys
- Plastics
- Conductive and resistive materials
- Dielectrics for capacitors
- Piezoelectric materials
- Contact materials for switchable contacts and
- soldered joints
Material behaviour during forming
- Experimental determination of yield curves
- Yield curve models
- Influence of temperature, degree of forming, forming speed and material condition on flow behaviour Modern sheet metal materials
- Steel, aluminium, magnesium
- Manufacture; relationships between structure, microstructure and properties; testing of
sheet metal materials; processing and service properties;
Materials for bulk forming
- Structural, tool and heat-treated steels
- AFP steels
- Bainitic steels
- Aluminium, magnesium and titanium alloys
- Tool materials
- Cold-work, hot-work and high-speed steel
- Sintered steel, cermets, ceramics (particle-reinforced composites)
- Powder production, powder mixtures, manufacture of moulded parts; fundamentals of sintering; properties and applications Composite materials/layered systems
- Manufacture; properties; applications
Materials testing:
- Principles and applications of X-RD
Electron microscopy (TEM, SEM)
, EDX, SIMS, AFM
, computed tomography
Building on the knowledge of engineering mechanics, materials science and machine elements acquired during the Bachelorās programme, the lectures cover the behaviour of components under cyclic and random loading, as well as component failure due to fracture. The focus here is on strength behaviour, and the course highlights the integration of analytical and experimental methods for component evaluation. Fracture mechanics methods for component evaluation form a further focus of the course, with particular emphasis placed on their practical application in engineering. Experimental methods for component testing are covered primarily during the practical sessions.
The basic concepts of damage analysis are explained in a systematic sequence. Models for a practical approach to the investigation of component damage are presented. To this end, an algorithm is developed which serves as a guide for practical case studies. Investigation methods that are of key importance in damage analysis are covered, with a focus on macroscopic and microscopic crack initiation and crack propagation. Furthermore, the areas of influence ā material (material selection), design, manufacture, friction, wear, corrosion and operational behaviour ā are discussed. It is demonstrated how the various investigation results provide information about the nature of the damage and, through logical reasoning, lead to the cause of the damage.
Sensor materials:
- Dielectric materials with piezoelectric and pyroelectric effects
- Semiconductor materials
- Thermal effects
- Photoelectric effects
- Magnetic materials
Coating thickness measurement (non-destructive: gravimetric, cross-section analysis, XRF, eddy current, magnetic induction, electrical; destructive: coulometric, microscopic, dome section)
Determination of chemical composition (XRF, EDX, WDX, AES, SIMS, FTIR,
GDOES)
Metallography (optical microscopy, illumination techniques, specimen preparation,
types of sectioning)
Electron microscopy (SEM, TEM), laser scanning microscopy (LSM),
computed tomography (µCT)
Other (micro-)analysis and preparation methods (ECSTM, FIB)
Testing of wettability and adhesion (contact angle, wetting balance;
technological, destructive, absolute, non-destructive methods)
Roughness (GPS, line roughness, areal surface texture)
Microhardness (HV, HK, HM, Berkovich, micro-range)
Porosity (detection methods)
Determination of crystal structure and phases by X-ray diffraction (XRD)
Residual stress measurement (classification; two-strip method, dilatometer method;
sinĀ²Ļ method)
Ductility testing (bending test, mandrel bending test, tensile test)
Visual inspection (direct and indirect)
Gloss and reflection (gloss value)
Colour ā saturation ā brightness (colour spaces, colour distance, f
Career
Chair in āSmart Materialsā, Mittweida University of Applied Sciences (FH)
freelance work as a consultant (damage analysis, material selection, fracture mechanics)
freelance lecturing (materials testing, materials selection, materials used in electrical engineering)
Head of the Material Fatigue and Cyclic Fracture Mechanics Research Group at the Chair of āSurface Engineering and Functional Materialsā at Chemnitz University of Technology
Research Associate at Chemnitz University of Technology, Institute of Materials Science and Engineering
Appointment
Mittweida University of Applied Sciences (FH); Chair of Smart Materials
PhD
PhD thesis on the topic āFatigue and crack propagation behaviour of precipitation-hardenable ultra-fine-grained aluminium alloysā. Grade: summa cum laude
Conclusion
Degree from Chemnitz University of Technology, Faculty of Mechanical Engineering, specialising in āMaterials Engineeringā, with a minor in āApplied Mechanicsā
Internships and study abroad
placements during my degree⢠LuleÄ University of Technology in LuleÄ, Sweden, Department of
Solid Mechanics⢠Université de Sherbrooke in Sherbrooke, Québec, Canada, in the Biomechanics Laboratory
Projects and Publications
ABVML: Ergebnisvorhersage des AufschweiĆbiegeversuchs mittels Machine Learning (ML)
Crack propagation tests on puddle steel with 1 R ratio
Innovationscluster HSMW 2023, AP04: Klimafreundliche Fertigungsstrategie für Stahl-Kunststoff-Verbunde
Rissfortschrittsversuche an Altstahlproben der Elbbrücke MeiĆen
- 1
- 2
Benchmarking Convolutional Neural Network Architectures for Multi-Phase Semantic Segmentation: Challenges in Resolving WidmanstƤtten Ferrite Within FerriticāPearlitic Matrices
CNN-Based Classification of Structural Steel Microstructures for the Prediction of the Outcome of the Welded Bead Bending Test
Comparative Analysis of Various Supervised Machine Learning Models for the Prediction of the Outcome of the Welded Bead Bending Test
Fracture mechanics properties of welded bridge steel from the 1960ās: experimental characterization and comparison with literature data
Influence of combined burst-mode ultrashort laser irradiation on surface topography and tribological properties of cemented tungsten carbide