Come grab a bowl of Howling Cow Ice Cream and join us for a talk in the AIF Seminar Series. Dr. Roland Brunner, group leader at the Materials Center Leoben, Forschung GmbH (MCL), will present 3D imaging methods and quantitative analysis for advanced material science (abstract below). The AIF Seminar Series is designed to be informal, interactive, and fun. There will be plenty of opportunities to discuss science and network.

Please RSVP here by August 5, 2019.

3D Imaging Methods and Quantitative Analysis for Advanced Material Science

Abstract

A rapidly developing area in material science displays the three-dimensional characterization of the microstructure using tomography based imaging methods. The use of quantified 3D structural information offers new possibilities with respect to an improved understanding about the correlation between microstructure and functionality as well as for more advanced material designs.  In this context, several experimental approaches like X-ray computed tomography, X-ray microscopy, SEM/FIB-tomography or synchrotron 3D imaging represent highly powerful techniques. Here, important key parameters display the possible resolution as well as achievable contrast. Another challenge comprises the quantification of the 3D image data. However, a critical analysis is seldom undertaken.

In this talk, I will discuss the use of different 3D imaging techniques for the investigation of novel material concepts e.g. suitable for energy storage applications or microelectronics. This will particularly cover a discussion regarding the correlation between microstructure and material e.g. electrical, mechanical or electrochemical material properties. Further, I will present an image analysis workflow suitable for material characterization. This workflow comprises the (1) pre-processing e.g. artefact reduction and image quality improvement, (2) segmentation e.g. particles, pores, etc. as well as the (3) post-processing of the data e.g. the quantification of the pore network behavior, particle, or the use of FEM simulations in combination with 3D image data.

Short Biography

Dr. Roland Brunner is a group leader at the Materials Center Leoben, Forschung GmbH (MCL), lecturer at the Montanuniversitaet Leoben,and coopted at the PhD school for Physics at faculty of natural science, University Graz. He holds a PhD in Material/Semiconductor physics. From 2006 to 2012 he was a Postdoc at the University Leoben and Japan, NTT & Tokyo University dealing with Electron Spin based Quantum Information in semiconductors. In addition, he was a short term researcher at Chiba University, Japan, as well as the Electrical Engineering Department at ASU, USA. He has been at the MCL since 2012. In 2014 he made his postdoctoral lecture qualification and was appointed to Priv. Doz. He has been a leader of the micro- and nanostructure visualization group since 2018. His research interests span the further development of 2D/3D imaging methods as well as image analysis approaches for industrial relevant material- and failure -characterization. Experimental methods comprises e.g. acoustic microscopy, or tomography based methods like SEM/FIB-, X-ray- computed as well as synchrotron 3D imaging.