Projects
Agricultural Biodiversity Monitoring Network - Biological Valuation Map (EVINBO). Research Institute for Nature and Forest
The Biological Valuation Map (BWK) component aims to monitor biodiversity ...
On-line mass spectrometry platform for the monitoring and quantitative determination of volatile and non-volatile low-molecular-mass microbial metabolites during fermentation processes Vrije Universiteit Brussel
Fast and convenient mass spectrometry-based real-time monitoring of volatile organic compounds of biological origin. Ghent University
the major aim of the project is to come up with a better scientific understanding of VOC emissions from biological systems when they are exposured to stress factors. SIFT-MS will be developed towards the target compounds. Proper validation with established GC-MS techniques is necessary. Especially the convenience of the method in researching relationships between exposure/stress factors and VOC emission patterns is targeted for specific ...
Development and application of high-throughput mass spectrometry technology for microbial monitoring of spontaneous beer fermentations Ghent University
ECOOM: Research and Development Monitoring Expertise Center (R&D Monitoring Expertise Center) Vrije Universiteit Brussel
Computer Tomography based improvement of in-process monitoring capabilities KU Leuven
Autonomously correlate in-line CT data with AM process parameters decided on during build preparation. To quantify variations in the process, all experiments will be monitored in-line using, e.g., thermal and optical imaging. According to an appropriate data model, the monitoring data will be stored in a database, and the manufactured parts will be CT scanned. The monitoring data will also be acquired for every process layer and stacked to ...
In-situ process monitoring and control of femtosecond laser machining KU Leuven
The aim is to develop process monitoring and control solutions for microscale features fabricated on metal surfaces by femtosecond laser machining. Monitoring and sensing will be conducted during the laser machining process using optics-based visualization, a displacement sensor, and acoustic emission technology. In addition, machine learning methods will be used to analyse the relation between process parameters and intended geometrical ...
Towards robust dissimilar joining and overall process monitoring in resistance welding KU Leuven
Leveraged by political, economic, and ecologic incentives, manufacturing industry shifts towards multi-material structures, combining material properties, optimising costs, enabling lightweight design, and reducing emissions during the production and the lifetime of the product. In automotive production, lightweight hybrid design reduces fuel consumption, hence the emission of greenhouse gasses. Amongst other measures, this is achieved by ...