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On-demand Webinar
Duration: 37 minutes
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Quantifying metal aging to build more durable components
Struggling to link complex imaging data to real-world metal performance and long-term durability?
In this webinar, you’ll see how advanced imaging combined with AI-powered analysis can quantify the key material properties that drive ageing in metals and alloys. Learn how to transform raw 2D/3D imaging data into actionable, quantitative insights using intuitive visualization tools, bridging the gap between laboratory characterization and component reliability in service.
Watch this webinar to learn how AI-driven imaging analysis can turn complex materials data into clear insights that help you optimize performance and push metal component durability further.
Key takeaways:
- Compare target designs with as-manufactured components to identify critical deviations
- Quantify volumetric changes in metals under thermal variation
- Evaluate coating adhesion to underlying metal structures
- Relate crystalline structure and microstructural features to crack formation
About the speakers
Alice Scarpellini, Applications Development Scientist, Thermo Fisher Scientific
Alice Scarpellini is an applications development scientist specializing in SEM for materials science, with a strong focus on connecting technical innovation to customer value. With an engineering background and over a decade of experience, she combines deep technical expertise with a marketing mindset to translate complex data into clear and compelling product stories. Her recent work focuses on SEM, EDS, and EBSD applications in industrial markets, supporting the floor-model SEM portfolio.
Bartlomiej Winiarski, PhD, Staff Scientist, Thermo Fisher Scientific
Dr. Bartlomiej Winiarski received his MSc in Materials Science from AGH-University of Science and Technology, Krakow, Poland, and holds a PhD in Mechanics of Composite Materials from the University of Aberdeen, Scotland. A 2014 R.E. Peterson Award recipient, he has authored 40+ papers and specializes in advanced 3D materials characterization and sub-micron stress analysis. He has held research roles at the University of Manchester and remains affiliated with the University of Aberdeen.
Alex Hall, PhD, Image Analysis Specialist, Thermo Fisher Scientific
Dr. Alex Hall is an expert in visualization and analysis for 3D microscopy techniques. A background in biology and evolution research introduced him to 3D segmentation methods for X-ray CT. This led to his current focus on clean energy, composites, polymers, ceramics, and metals projects. He brings broad expertise to difficult projects that require image segmentation and multimodal analysis.
Luigi Raspolini, Product Manager, Thermo Fisher Scientific
Luigi is a process engineer working in materials science and characterization. With a background in spectroscopy and electron microscopy, he helps customers find the right tools to convert datasets into actionable data, track improvements, and identify imperfections in manufacturing or research processes.