TY - JOUR A1 - Maiwald, Michael T1 - Next Generation Automation - Arbeitskreis 3.7: Smarte Sensorik, Aktorik und Kommunikation N2 - Der AK 3.7 ist ein "erweiterter" AK und je zur Hälfte mit NAMUR-Vertretern und Vertretern der Geräte- und Softwarehersteller besetzt. Er wurde ins Leben gerufen, um Begrifflichkeiten der digitalen Transformation aufzugreifen, wie etwa Smarte Sensorik, Sensordatenfusion, Schwarmsensorik oder Softsensorik. Eine erste Aufgabe bestand darin, einige exemplarische Anwendungsfälle der Nutzung smarter Eigenschaften von Feldgeräten sowie deren zukünftige Kommunikationsmöglichkeiten sowohl mit Bezug auf Bestandsanlagen als auch mit Blick auf einen potentiellen Technologiewechsel zu betrachten. Neuer Scope des AK 3.7 ist eine "Next Generation Automation" um einen potentiellen Technologiewechsel rechtzeitig vorauszudenken. Dieses erfolgt unter vollständiger gedanklicher Trennung von heutiger Automatisierung und auch vom NOA-Konzept. Ebenso wird ein Technologiewechsel in der Produktion der Prozessindustrie (wahrscheinlich modulbasiert) postuliert. Ziel des AK 3.7 wird es in Zukunft sein, diese Anforderungen an smarte Feldgeräte aufzugreifen und gemeinsam mit den thematisch überlappenden Interessenskreisen in Standards zu übersetzen. KW - Prozessindustrie KW - Automation KW - NAMUR KW - Sensorik KW - Aktorik KW - Kommunikation PY - 2021 SN - 2190-4111 SN - 2364-3137 IS - 9 SP - 73 PB - Vulkan Verlag CY - Essen AN - OPUS4-54336 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hassenstein, Christian T1 - Adaptive TFM approach for turbine blade testing in an NDE 4.0 environment N2 - Turbine blades for gas turbines are exposed to extreme working conditions in a demanding environment. In-service inspection, maintenance and refurbishment of the heavily stressed parts is necessary to ensure both safety and efficiency, e.g. based on immersion ultrasound testing (UT). In the course of NDE 4.0, the European project MRO 2.0 aims to innovate the maintenance, repair and overhaul of turbine blades by linking these with modern digital methods. For this, the goal of this project is to go beyond conventional automated and manual UT testing techniques. The aim is to measure the actual geometry and wall thickness of the complex shaped parts by applying an adaptive TFM that takes into account the refraction of the ultrasonic waves at the transition from the coupling material (water) to the inspected part (steel). In this setup the phased array probe is held by a robotic arm that allows the part to be scanned while remaining mainly perpendicular to the inspected surface. In this way, even complex geometries can be inspected and a 3D model of the actual condition of the part can be created. The laboratory setup is equipped with a Vantage 64 phased array instrument from Verasonics Inc. and an industrial robot from ABB. A 64 element linear array probe operating at 10 MHz is attached to the robot. The focus is on optimizing resolution, reliability and inspection speed, as the reconstructed model will be fed to the digital twin at a later stage of the project and used for targeted repairs. In addition to enhancing the reconstruction algorithms, required probe geometry and the parameters needed to inspect turbine blades with partially thin walls and anisotropic materials will also be investigated. This talk will describe the 3-year project and present the results of the first year. The main focus will be on the development of the reconstruction algorithms used and the experimental setup. T2 - 48th Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE 2021) CY - Online meeting DA - 28.07.2021 KW - Utrasound testing KW - Turbine blade KW - Maintenance KW - Phased array KW - Automation PY - 2021 AN - OPUS4-54313 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - New chemical understanding with the help of automation and highthroughput computations N2 - High-throughput computations are nowadays an established way to suggest new candidate materials for applications to experimentalists. Due to new packages for automation and access to databases of computed materials properties, these studies became more and more complex over the last years. Besides suggesting new candidate materials for applications, they also offer a way to understanding the materials properties based on chemical bonds. For example, we have recently used orbital-based bonding analysis to understand the results of high-throughput studies for spintronic materials, ferroelectric materials and photovoltaic materials in detail. To do so, we have developed Python tools for high-throughput bonding analysis with the programs VASP and Lobster (see www.cohp.de). They are based on the Python packages pymatgen, atomate, and custodian. This implementation will be discussed within the talk. We also expect that these tools offer possibilities to arrive at new descriptors based on chemical bonds for materials properties. T2 - High-throughput workflows for materials science with the Atomic Simulation Environment (ASE) and Fireworks CY - Lyngby, Denmark DA - 15. November 2021 KW - Automation KW - High-throughput computations KW - DFT PY - 2021 AN - OPUS4-53840 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bornemann-Pfeiffer, Martin T1 - Modular production involving Benchtop NMR: Current application examples driven by digitalization N2 - The demand for increasing product diversity in the chemical and pharmaceutical industry calls for new production processes that enable greater flexibility. Therefore, plants are needed which can be adapted to new processes in a fast manner and be scaled up and down easily to volatile market demands. Modular production techniques in combination with advanced process analytical technology (PAT) are considered as a promising solution able to fulfil these requirements. The success and acceptance of modular concepts in both new and existing plants is dependent of its reliability, easy applicability, and standardization. In recent past, enormous efforts were made to overcome existing barriers in a superordinate level, e.g. DEXPI [1], ENPRO [2], or MTP [3] naming just a few. Here, we’d like to present a few, more hands-on, application examples which are shown in Figure 1 aiming to increase process flexibility and applicability. This includes: a) The development of an additively manufactured mixer—flow reactor combination for the application inside of NMR instruments. [4] b) The application of automated, model-based approaches for model development and spectra evaluation. c) The application of machine-assisted spectral model building as a genuine alternative to classical model-based approaches [5] d) Improvement of NIR calibration through online available NMR reference data. [6] These examples represent miscellaneous use cases but result of the same fact: the increased use and availability of data through advanced PAT and therefore new opportunities utilizing them. T2 - SMASH - Small Molecule NMR Conference CY - Online meeting DA - 30.08.2021 KW - Process analytical technology KW - NMR spectroscopy KW - Automation PY - 2021 AN - OPUS4-53803 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - George, Janine T1 - Automation in Computational Materials Science N2 - The talk „Automation in computational materials science“ deals with the current state of automation in the field of computational materials science. It illustrates how automation can, for example, be used to speed up the search for new ferroelectric materials and spintronic materials. Furthermore, it lists current tools for automation and challenges in the field. T2 - SALSA School 2021 CY - Online meeting DA - 16.09.2021 KW - Automation KW - High-throughput PY - 2021 AN - OPUS4-53483 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Better with Scattering Part 2: Nanostructural investigations with X-ray scattering N2 - Today's speaker is a young scientist whose research on all aspects of small-angle scattering has taken him from his birthplace in Netherlands, to Denmark, Japan and now Germany. His research has led to a new method and software for scattering pattern analysis, a comprehensive set of data corrections together with the Diamond Light Source, and a new ultra-SAXS plug-in instrument. For the last few years, he has been working on a comprehensive and universal methodology to get high-quality X-ray scattering measurements for any sample, using his new instrument at the institute. This instrument has now been heavily modified both in hardware and software, so that it can deliver better data. These developments are always driven by interesting collaborations with materials researchers and other scientists. As a joint member he has published works on a wide variety of materials, including self-assembled structures in liquids, composite materials and porous carbon catalysts. He has also been very active in outreach, for example by co-organizing an online lecture series called ‘#the Light Stuff’ on scattering and diffraction, running the ‘looking at nothing’ weblog, hosting a yearly introductory scattering course, and he has many scattering-related lectures available on YouTube. Our distinguished speaker is Dr. Brian Richard Pauw from the Federal Institute for Materials Research and Testing in Germany. I proudly invite Dr. Pauw to begin his talk. T2 - The first training course on the principles & application of X-ray scattering in nanomaterials CY - Online meeting DA - 28.04.2021 KW - X-ray scattering KW - Methodology KW - MOUSE KW - Practical examples KW - Automation KW - Data organization PY - 2021 AN - OPUS4-53276 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Meticulous Approach: Fully traceable X-ray scattering data via a comprehensive lab methodology N2 - To find out if experimental findings are real, you need to be able to repeat them. For a long time, however, papers and datasets could not necessarily include sufficient details to accurately repeat experiments, leading to a reproducibility crisis. It is here, that the MOUSE project (Methodology Optimization for Ultrafine Structure Exploration) tries to implement change – at least for small- and wide-angle X-ray scattering (SAXS/WAXS). In the MOUSE project, we have combined: a) a comprehensive laboratory workflow with b) a heavily modified, highly automated Xenocs Xeuss 2.0 instrumental component. This combination allows us to collect fully traceable scattering data, with a well-documented data flow (akin to what is found at the more automated beamlines). With two full-time researchers, the lab collects and interprets thousands of datasets, on hundreds of samples for dozens of projects per year, supporting many users along the entire process from sample selection and preparation, to the analysis of the resulting data. While these numbers do not light a candle to those achieved by our hardworking compatriots at the synchrotron beamlines, the laboratory approach does allow us to continually modify and fine-tune the integral methodology. So for the last three years, we have incorporated e.g. FAIR principles, traceability, automated processing, data curation strategies, as well as a host of good scattering practices into the MOUSE system. We have concomitantly expanded our purview as specialists to include an increased responsibility for the entire scattering aspect of the resultant publications, to ensure full exploitation of the data quality, whilst avoiding common pitfalls. This talk will discuss the MOUSE project1 as implemented to date, and will introduce foreseeable upgrades and changes. These upgrades include better pre-experiment sample scattering predictions to filter projects on the basis of their suitability, exploitation of the measurement database for detecting long-term changes and automated flagging of datasets, and enhancing MC fitting with sample scattering simulations for better matching of odd-shaped scatterers. T2 - S4SAS CY - Online meeting DA - 01.09.2021 KW - X-ray scattering KW - Methodology KW - MOUSE KW - Data organization KW - Automation KW - Traceability PY - 2021 AN - OPUS4-53273 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - George, Janine T1 - Automation in DFT-based computational materials science N2 - Automation simplifies the use of computational materials science software and makes it accessible to a wide range of users. This enables high-throughput calcula-tionsand makesiteasier for non-specialists to enter computational materials science. However, in-creasing automation also poses threats that should be considered while interacting with automated procedures. KW - DFT KW - Automation KW - High-throughput computations PY - 2021 DO - https://doi.org/10.1016/j.trechm.2021.07.001 SN - 2589-5974 VL - 3 IS - 9 SP - 697 EP - 699 PB - Elsevier CY - Amsterdam AN - OPUS4-53127 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -