We are honored to have Dr. Florian Keller as our distinguished speaker on Artificial Intelligence in Advanced Filtration Solutions at the upcoming World Filtration Institute 2024 Annual Conference (WFI 2024), December 3–4, 2024, 8:00 AM to 12:00 PM EST.
Dr. Keller currently works as Director Engineering New Materials & Digitalization at MANN+HUMMEL GmbH. Florian holds a diploma degree in Technomathematics and a PhD in Process Engineering from Karlsruhe Institute of Technology (KIT). Since joining the company in 2013, Florian has been at the forefront of advancing digital tools and simulation methods for the optimal development of filter elements across various scales – from fibers to elements. Until June 2024, Florian also led a cross-functional engineering team for engine air filter elements and media development. Currently, Florian heads the department for New Materials & Digitalization, focusing on digitalization in engineering and the development of innovative and sustainable filtration materials.
Time: December 4, 2024
Date: 11:20 AM - 11:30 AM EST
Title: AI-driven Approaches for Filter Media Characterization and Element Design
Abstract
The rapid development of AI-based methods has significantly increased the importance of data usage and data interpretation in all phases of development processes. Modern methods of data science enable development engineers to discover hidden insights in existing datasets or to create new datasets suitable for machine learning. This talk focuses on two applications for filter media and element development where AI-based methods provide additional insights and improve efficiency.
The first use case highlights significant enhancements for the segmentation and microstructure characterization of synthetic filter media. Traditional methods, such as manual and OTSU-based threshold techniques, face challenges e.g. with low-density fiber materials and artifacts in high-resolution µCT scans. These challenges can be overcome by using AI-based methods for the segmentation. We will apply this method on different microstructures and compare the results with OTSU threshold-based segmentation with subsequent morphological operations. Comparison of virtual microstructural properties of both segmentation methods with material testing results serves to validate the new method and make its advantages comprehensible.
The second use shows how to apply machine-learning methods on hybrid data sets for optimized filter element layouts. One goal is to enable development engineers to find optimal filter designs within seconds instead of hours. Therefore, the optimal filter element design needs to consider the design space and customer specifications, amongst others. Looking at the workflow, we will also show how to seamlessly integrate this novel design approach into the whole development process.
About WFI 2024:
The World Filtration Institute 2024 Annual Conference (WFI 2024) will be held online, December 3–4, 2024, from 8:00 AM to 12:00 PM EST. The theme of this conference is "Sustainable Filtration Solutions for a Cleaner and Healthier World." It will be an internationally leading expert conference addressing the latest advances in filtration and separation technologies and their critical roles in healthy living, surrounding environments, and a clean, sustainable world for current and future generations. The virtual conference will feature the following sessions:
1. Sustainable Filtration for A Healthier Indoor Environment
2. Filtration Advances for Emerging Technologies
3. Innovative Materials and Technologies for Sustainable Filtration
4. Circular Economy and Sustainable Water Solutions
5. Regulatory Trends and Standards Updates
6. Artificial Intelligence in Advanced Filtration Solutions
