Sponsored by ZEISS
Advanced microscopy techniques are integral to studying microstructure and analyzing failure in developing structure-property correlations in materials. These studies have allowed developing novel materials tailored for high-performance applications. This session will focus on the latest advancements in the X-ray microscopy techniques and applications of these techniques to Metal Matrix composites (MMC) research. The discussion will focus on hollow particle filled composites called syntactic foams, which present special challenges in imaging due to the embedded desirable porosity and multiscale microstructure. These materials are increasingly utilized in various industries due to their lightweight and high-strength properties. X-ray microscopy offers unparalleled insights into the internal structure, defects and composition of MMCs, enabling precise characterization of their microstructural features.
Leveraging machine learning enhanced X-ray microscopy, high-resolution three-dimensional images can be obtained that reveal the distribution of metal matrix and hollow spheres as well as carbon fibers within the composite. These images with unparalleled quality and clarity allow resolving cracks and phases that are beyond the detection capability of previous generation techniques. The results will show the capabilities of X-ray microscopy and machine learning algorithms - DeepRecon Pro in imaging such complex multiscale materials to reveal new information about failure. These insights will help in developing next generation composites with higher performance.
By attending this webinar, you will learn:
- Novel capabilities of XRM imaging and analysis: Sub-micron imaging coupled with novel Advanced Reconstruction Toolbox (ART) for non-destructive study of internal structures, enhancing data interpretation.
- Computational Engineering: Implementation of workflows that combine data from XRM and simulation work for a holistic understanding of superalloy microstructures.
About the webinar speakers
Dr. Nikhil Gupta Gupta is a Professor in the Department of Mechanical and Aerospace Engineering at NYU Tandon School of Engineering, Brooklyn, NY. He directs the Composite Materials and Mechanics Laboratory. He is a renowned expert in syntactic foams and lightweight composite materials. Dr. Gupta has seven issued patents and has published over 250 peer reviewed journal papers and book chapters on lightweight materials, materials characterization and manufacturing systems. His work on syntactic foams has focused on developing methods that can be used to design materials for application-specific requirements. Dr. Gupta is a fellow of American Society for Composites and ASM International. In addition, he is an elected senior member of IEEE and the National Academy of Inventors.
Dr. Kaushik Yanamandra is an Applications Development Engineer at Zeiss Microscopy. He earned his Ph.D. in Mechanical Engineering from New York University and later worked as a Postdoctoral Research Associate in the Materials Science Department at Purdue University. His expertise lies in the materials characterization of metals and composite materials – failure analysis, defect detection and characterization. Kaushik’s research has focused on developing lightweight advanced materials for dynamic loading conditions. He has extensively utilized microscopy techniques, such as Scanning Electron Microscopy and X-ray Microscopy (XRM), to investigate the mechanical behavior of materials through their microstructure. Additionally, he has developed machine learning algorithms to enhance the speed and efficiency of materials characterization using XRM data.