Filtern
Dokumenttyp
- Vortrag (3) (entfernen)
Referierte Publikation
- nein (3)
Schlagworte
- Gas analysis (3) (entfernen)
Organisationseinheit der BAM
Eingeladener Vortrag
- nein (3)
Intelligent sensor systems, certified reference materials and instrumental analytical-chemical methods contribute to safety and functionality in hydrogen technologies.
This article gives a brief overview of SensRef activities in the Competence Centre H2Safety@BAM on the issues: Analytical methods for the determination of hydrogen purity, certified reference materials as measurement standards with regard to gas quality (primary calibrators) of BAM, test methods for gas sensor systems to detect hydrogen in air as well as the application of fibre-optic sensor systems to monitor the expansion and ageing behaviour of composite containers in hydrogen technologies.
Lithium Ion Batteries - Europe and Germany in general and BAM with safety aspects in particular
(2019)
The article introduces the BAM as well as the experimental possibilities at the BAM TTS in the first part. The second part explains general aspects of the electromobility strategy and the research landscape on lithium batteries in Germany and Europe. In the last part of the presentation current investigations on the safety of lithium batteries as well as perspectives planned investigations of the BAM in this area are presented.
Compact nuclear magnetic resonance (NMR) instruments make NMR spectroscopy and relaxometry accessible in industrial and harsh environments for reaction and process control. An increasing number of applications are reported. Robust field integration of NMR systems have to face explosion protection or integration into process control systems with short set-up times. Tis paves the way for industrial automation in real process environments.
Automated data preparation and analysis are cornerstones for a breakthrough of NMR techniques for process control. Particularly, robust chemometrics as well as automated signal processing methods have to be (further) developed especially for NMR spectroscopy in process control. This becomes even more important for so called “smart sensors” providing the basis for the future project “Industrie 4.0”, and Industrial Internet of Things (IIoT), along with current requirements to process control, model based control, or soft sensing. Data analysis techniques are available but currently mostly used for off-line data analysis to detect the causes of variations in the product quality.