A5080002622- Non-Destructive Testing Techniques
- Advanced Surface Polishing Techniques
- Electron and X-Ray Spectroscopy Techniques
- Welding Techniques and Residual Stresses
- Machine Learning in Materials Science
- High-Temperature Coating Behaviors
- Advanced Electron Microscopy Techniques and Applications
- Additive Manufacturing Materials and Processes
- Image Processing Techniques and Applications
- High Entropy Alloys Studies
- Thermography and Photoacoustic Techniques
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Aluminum Alloy Microstructure Properties
- Cell Image Analysis Techniques
- Hydrogen embrittlement and corrosion behaviors in metals
- Mechanical and Thermal Properties Analysis
- Engineering Technology and Methodologies
- Intermetallics and Advanced Alloy Properties
- Metallurgy and Material Forming
- Robot Manipulation and Learning
- Advanced Machining and Optimization Techniques
- Advancements in Photolithography Techniques
- Microstructure and Mechanical Properties of Steels
- Ion-surface interactions and analysis
Czech Academy of Sciences, Institute of Scientific Instruments
2022-2024
The success of machine learning (ML) models in object or pattern recognition naturally leads to ML being employed the classification microstructure steel surfaces. Light optical microscopy (LOM) is traditional imaging process this field. However, increasing use extract relate more aspects aforementioned materials and limitations LOM motivated us provide an improvement established image acquisition process. In essence, we perform style transfer from scanning electron (SEM) combined with...
Chemical etching is an integral part of metallographic sample preparation. Maintaining precise etch times can be difficult and therefore repeatability limited. The aim this work to improve the preparation using robotization. Prior etching, samples S355J2 (1.0577) structural steel were finely mechanically polished. For verification, 15 specimens prepared in-house designed automated machine with a built-in 5-axis robotic arm manually by expert metallographer. etched Kourbatoff no. 4 reagent...
Abstract Electrolytic polishing is a finishing method that removes material from metal or alloy through an anodic dissolution process. Etching can often be performed in the same electrolyte by simply reducing applied voltage to 10 percent of required for polishing. Manufacturers metallographic equipment present their products as automated. Only electrolysis process itself After finishing, sample must immediately removed manually operator and cleaned. This critical with regard quality final...
Abstract In the field of materials analysis, chemical etching continues to play a crucial role in sample preparation, yet its approach is often more empirical. While classical metallographic methods dominate, insufficient understanding process creates room for innovation. To improve this situation, development new techniques allowing structure observation during preparation necessary. This critical step towards mitigating influence stochastic factors, thereby increasing reliability and...
Abstract Despite advancements in metallography automation, sample preparation remains largely semi-automated with isolated subprocesses like sectioning, grinding, and polishing. Leveraging modern technologies such as collaborative robotics, AI-driven computer vision, advanced sensors could enable fully integrated automation. However, the diversity of processes requires skilled human oversight. Integrating user-friendly cobot interfaces may promote a synergistic workspace that enhances...
Abstract AlCoCrFeNi 2.1 alloy, which belongs to the group of eutectic high-entropy alloys (EHEAs), possesses a combination increased strength and ductility. It should retain these properties over wide temperature range due high entropy effect system. At same time, are generally considered have good castability, increases possibility casting alloy in larger volumes. One processes, that does not avoid when applied industry, various joining techniques including electron beam welding. The weld...
Journal Article Methodology for Collecting and Aligning Correlative SEM, CLSM LOM Images of Bulk Material Microstructure to Create a Large Machine Learning Training Dataset Get access Jan Čermák, Čermák Department Electron Microscopy, Institute Scientific Instruments the Czech Academy Science, Brno, Czechia Corresponding author: cermak@isibrno.cz Search other works by this author on: Oxford Academic Google Scholar Ondřej Ambrož, Ambrož Martin Zouhar, Zouhar Patrik Jozefovič, Jozefovič Šárka...
Abstract Color metallography of aluminum alloys can provide new structural knowledge or extend and refine compared to a black white image. The basic principle color is create suitable film by etching. On samples coated with film, light interference caused the splitting incident into components reflected at air-layer interface layer-metal interface. thickness essentially determines which colors occurs. For films thickness, occurs in blue, green yellow regions. depends on chemical composition...
Specimen cleaning and drying are critical processes following any metallographic preparation steps.The paper focuses on automation by reason of absence the process repeatability during manual sample handling.An etchant or electrolyte results in inhomogeneous surface quality because solution runs off specimen its removal from beaker.High-quality is absolutely crucial for acquisition suitable characterization a scanning electron microscope operated at very low landing energies primary...
This paper aims to demonstrate a novel technique enabling the accurate visualization and fast mapping of deformation-induced α′-martensite produced during cyclic straining metastable austenitic stainless steel, refined by reversion annealing different grain sizes. The is based on energy angular separation signal electrons in scanning electron microscope (SEM). Collection inelastic backscattered emitted under high take-off angles from sample surface results acquisition micrographs with...