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Scientific publications

At Hahn-Schickard, research also means publishing findings in scientific publications.

Jahr Name
2024

Optimierte reaktive Bondtechnologie auf der Basis neuartiger Zirkonium Systeme für den Einsatz in der Mikrosystemtechnik (Join-ZiSi)

A. Schumacher, G. Buschbeck, I. Käpplinger

Abschlussbericht zum IGF-Vorhaben Nr. 21347 BG

2023

Micro-Electrode-Cavity-Array (MECA) on a CMOS Chip

M. Amayreh, S. Elsaegh, M. Kuderer, C. Blattert, H. Rietsche, O. Amft

Black Forest Nanopore Meeting 2023, 06.-09.11.2023, Freiburg, Deutschland

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  • This work represents a CMOS-Based nanoporesensing platform for high resolution readout of nanoporeevents.
  • CMOS integration reduces the overall capacitance of the readout which reduces the overall noise and thus allows detecting of fast and/or small nanoporeevents.
  • The current readout circuit is configurable for different current ranges and bandwidths and optimized for noise suppression. The circuit is divided into four amplifier stages.
  • Noise reduction techniques achieve a total integrated noise of only 18 pARMSin a bandwidth of 1 MHz.
  • The ASIC was implemented in a 350 nm standard CMOS technology.
  • The ASIC consists of five channels. Four of them are used as a MECA.

 

Link to paper

2024

Hybrid 3D Printing of Molten Metal Microdroplets and Polymers for Prototyping of Printed Circuit Boards Featuring Interdigitated 3D Capacitors

Z. Khan, D. Gururajan, P. Koltay, S. Kartmann, R. Zengerle, Z. Shu

EEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, IEEJ Trans 2024, doi:10.1002/tee.24035

2023

Modelling and Characterization of an Electro-Thermal MEMS Device for Gas Property Determination

P. Raimann, F. Hedrich, S. Billat, A. Dehé

Smart Systems Integration (SSI), 28.-30.03.2023, Brügge, Belgien

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2023

Characterization and Modeling of Thermal MEMS for Selective Determination of Gas Properties

P. Raimann, F. Hedrich, S. Billat, A. Dehé

Sensor and Measurement Science International (SMSI), 08.-11.05.2023, Nürnberg, Deutschland

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2024

Towards Label-Free Standardization in 3d Cell Culture: Automated, Selective and Gentle High-Throughput Handling of Spheroids and Organoids via Novel Pick-Flow-Drop Principle

V. Zieger, D. Frejek, S. Zimmermann, G. A. A. Miotto, P. Koltay, R. Zengerle, S. Kartmann

Adv Healthc Mater 2024 Jan 24:e2303350, doi: 10.1002/adhm.202303350

2024

74 µm PEEK-Reinforced Sulfonated Poly(phenylene sulfone)-Membrane for Stable Water Electrolysis with Lower Gas Crossover and Lower Resistance than Nafion N115

R. Qelibari, E. Cruz Ortiz, N. van Treel, F. Lombeck, C. Schare, A. Münchinger, N. Dumbadze, G. Titvinidze, C. Klose, S. Vierrath

 Adv. Energy Mater. 2024, 2303271, doi: 10.1002/aenm.202303271

2023

30μm Thin Anode Gas Diffusion Layers for OptimizedPEM Fuel Cell Operation at 120 °C and Low RelativeHumidity

K. Yildirim, H. Fadlullah, C. Schwarz, F. Lombeck, C. Klose, S. Vierrath, M. Breitwieser

Adv. Energy Sustainability Res. 2023, 2300179, doi: 10.1002/aesr.202300179

2023

Reactive bonding of an integrated CMOS strain sensor to steel by using hard and soft solders

A. Schumacher, P. Meyer, G. Buschbeck, E. Pflug, J. Böttcher, S. Knappmann, T. Hehn, A. Dehé

MikroSystemTechnik Kongress 2023, 23.-25.10.2023, Dresden, Deutschland
ISBN: 978-3-8007-6203-3 (CD-ROM), 978-3-8007-6204-0 (E-Book), VDE Verlag GmbH

2023

Optimierte reaktive Bondtechnologie auf der Basis neuartiger Zirkonium Systeme für den Einsatz in der Mikrosystemtechnik (Join ZiSi)

A. Schumacher, G. Buschbeck, J. Böttcher, A. Grün, I. Käpplinger, S. Knappmann, P. Meyer, E. Pflug, A. Dehé

DVS Congress 2023, 11.-14.09.2023, Essen, Deutschland
DVS-Berichte Band 389, ISBN: 978-3-96144-230-0 (Print), 978-3-96144-231-7 (E-Book), DVS Media GmbH, Düsseldorf

2023

Reactive joining with braze: Novel zirconium based systems

E. Pflug, G. Buschbeck, A. Schumacher, J. Böttcher, S. Knappmann, P. Meyer, A. Dehé, O. Zimmer, V. Weihnacht

V-Messe, 18.-21.09.2023, Dresden, Deutschland

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2024

Automated Nanodroplet Dispensing for Large-Scale Spheroid Generation via Hanging Drop and Parallelized Lossless Spheroid Harvesting

V. Zieger, E. Woehr, S. Zimmermann, D. Frejek, P. Koltay, R. Zengerle, S. Kartmann

Micromachines 2024, 15, 231, doi: 10.3390/mi15020231

2023

Analysis of tool heating in cold forging using thin-film sensors

K. C. Grötzinger, A. Schott, M. Rekowski, B. Ehrbrecht, T. Hehn, D. Gerasimov, M. Liewald

International ESAFORM Conference, 19.-21. April 2023, Krakow, Poland

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Data acquisition and data analysis to gain a better process understanding are one of the most promising trends in manufacturing technology. Especially in cold forging processes, data acquisition close to the deformation zone seems challenging due to the high surface pressure. Thus far, process parameters such as die temperature are mainly measured with state-of-the-art sensors, including standard thermocouples, which are integrated into the tooling system. The application of thin-film sensors has been tested in hot forging processes for local die temperature measurement. However, the process conditions regarding tribology and tool load in cold forging are even more difficult. In this contribution, the use of thin-film sensors, applied on a cold forging punch for cup backward extrusion, is subjected. The aim is to investigate the applicability of such thin-film sensors in cold forging with special emphasis on temperature measurement in cyclic forming processes. The thin-film sensor system and its manufacturing procedure by vacuum coating technology combined with microstructuring are described. With these thin-film sensors the cup backward cold extrusion of steel billets was investigated experimentally. Cyclic tool heating simulations with thermal parameter variations were performed as a reference to
experimental results.

 

Link to paper

2023

Comparison of non-pulsating reflective PPG signals in skin phantom, wearable device prototype, and Monte Carlo simulations

M. Reiser, T. Müller, K. Flock, O. Amft, A. Breidenassel

45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 24. – 27.07.2023, Sydney, Australia

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We obtain and compare the non-pulsating part of reflective Photoplethysmogram (PPG) measurements in a porcine skin phantom and a wearable device prototype with Monte Carlo simulations and analyse the received signal. In particular, we investigate typical PPG wavelengths at 520, 637 and 940 nm and source-detector distances between 1.5 and 8.0 mm. We detail the phantom’s optical parameters, the wearable device design, and the simulation setup. Monte Carlo simulations were using layer-based and voxel-based structures. Pattern of the detected photon weights showed comparable trends. PPG signal, differential pathlength factor (DPF), mean maximum penetration depth, and signal level showed dependencies on the source-detector distance d for all wavelengths.We demonstrate the signal dependence of emitter and detection angles, which is of interest for the development of wearables. 

2023

Energy-Harvesting basiertes Predictive-Maintenance-System für Kreiselpumpen in der Schwimmbadtechnik

N. Reeh, Herborner Pumpentechnik; D. Schillinger, Hahn-Schickard

Innovationsforum smarte Technologien, 15. Juni 2023, Deutschland, Donaueschingen

2023

„EDIH Südwest“ – Beratungs- und Technologieangebote zur digitalen Transformation

S. Spieth

14. InnovationForum Smarte Technologien & Systeme, 15. Juni 2023, Donaueschingen

2023

„EDIH Südwest“ – Beratungs- und Technologieangebote zur digitalen Transformation von Unternehmen und Verwaltung

S. Spieth

microTEC Südwest Clusterkonferenz 2023, 15.-16. Mai 2023, Freiburg

2023

Image-based Live Tracking and Registration for AR-Guided Liver Surgery Using Hololens2: A Phantom Study

S. Khajarian, S. Remmle, O. Amft

IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 15. – 18.10.2023, Pittsburgh, USA


Electronic ISSN: 2641-3604, doi: 10.1109/BHI58575.2023.10313488

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We investigate AR-based tracking and registration of the liver surface for potential surgical applications. Our approach consists of streaming RGBD data from a Hololens2 device, RGBD segmentation using a deep learning model and registering the acquired partial liver surface point cloud with the corresponding virtual liver model. We aim to derive basic requirements for AR-guided liver surgery, thus consider several test cases of partially occluded liver as it would appear in surgical scenarios. To evaluate our approach, we use a 3D-printed phantom with basic texture and rigid structure. Our results show that the visible liver section has a substantial impact of feature extraction and matching, thus the registration process. Test cases, where specific anatomical features are visible, e.g. the right liver lobe, yielded superior outcomes compared to other cases, e.g. only the left liver lobe visible. Moreover, our results showed that large scale Hololens movements during the tracking process affected the registration performance. Our implementation achieved 2-3 frames per second for tracking and registration. We discuss the potential and limitations of utilizing Hololens2 for real-time tracking and registration of the liver surface. To our knowledge this is the first experimental approach for real-time markerless tracking and registration for AR-guided surgery guidance using the Hololens2 sensors only.

 

Link to paper

2023

Expert guidance on target product profile development for AMR diagnostic tests

T. T. Bachmann, K. Mitsakakis, J. P. Hays, A. van Belkum, A. Russom, G. Luedke, G. Skov Simonsen, G. Abel, H. Peter, H. Goossens, J. Moran-Gilad, J. Vila, K. Becker, P. Moons, R. Sampath, R. W Peeling, S. Luz, T. van Staa, V. Di Gregori, JPIAMR AMR-RDT Working Group

BMJ Glob Health 18;8(12):e012319, doi: 10.1136/bmjgh-2023-012319

2023

Pandemic Preparedness With Pervasive Computing

O. Amft, H. Ghasemzadeh

IEEE Pervasive Computing, 22, 4, ISSN: 1558-2590, doi: 10.1109/MPRV.2023.3329556

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The COVID-19 pandemic has stimulated pervasive computing research and development resulting in new, impactful public health tools, including digital contact tracing, crowd dynamics analysis, and symptom tracking, which are broadly recognized by the public and expert groups alike. In the post-COVID age, focus has shifted to establish a level of pandemic preparedness. Across all preparedness measures, there is the need for interoperable data, pervasive computing tools, and data analysis methods. Considering the open technical challenges, further pervasive computing research is a key to fill the opportunity created over the last years and eventually save more lives at global scale. In this special issue, we capture new technical approaches to the pervasive tool inventory that help dealing with a pandemic situation, but also investigations that highlight opportunities for further research. We aim to motivate continued research and discussion of new ideas on pervasive computing for public health tools that spurs pandemic preparedness.

 

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