imPACTs: Industrial Methods for Process Analytical Chemistry – From Measurement Technologies to Information Systems
The primary objective of this K-Project coordinated by RECENDT GmbH
(Coordinator: Robert Holzer) is to investigate and develop new process analytical measurement techniques as well as measurement-based modeling methods for improving the optimization and control of on-line production processes, especially in the chemical and biochemical industry.
As a successor of the K-project “Process Analytical Chemistry – Data-acquisition and Data-processing” (PAC), imPACts is based on the scientific experience and industrial requirements of PAC. It is intended to significantly expand the metholdogies developed in PAC to new forms of more generic applicability and installability at industrial partners. Its main missions can be summarized as follows:
- Knowledge generation about chemical production processes through novel analytics, multivariate data analysis, fluid dynamic simulations and mechanistic modelling.
- Development of advanced optical and MEMS based sensor systems for ultrasensitive, rapid and spatially resolved measurement of chemical and physical sample properties.
Transfer of methodological approaches to industrial partners enabling for application on different but similar production processes.
The whole project is divided into 3 multi-firm and 2 strategic research projects:
- Multifirm-Project 1: Development of novel measurement technologies for process analytics
- Multifirm-Project 2: Characterization and in-depth understanding of multi-phase processes
- Multifirm-Project 3: Monitoring & control of target parameters in industrial processes
- Strategic Project 1: Advanced strategies for information mining and knowledge generation
Strategic Project 2: Advancing spectroscopy for the analysis and characterization of materials
As setting the key researcher for MP3, the role of our department is to provide valuable scientifc inputs for and to actively contribute in the projects MP3 and SP1 in terms of own developed methodologies in the fields of chemometric modeling using soft computing and machine learning methods, dimensionality reduction, auto-diagnostics and re-calibration, fault detection and diagnosis, batch classification and others.
The ultimate goal is to establish a Computational Model Life-Cycle Management (CMLCM) system which can be used on-line by the operators working at the production sites, supporting sufficient flexbility for designing model work-flows, performing re-calibration phases and making time-intensive off-line modeling phases obsolete.
RECENDT GmbH (Robert Holzer)
Research Groups and Institutes:
- Research Center for Non-Destructive Testing GmbH
- Research Division of Biochemical Engineering / TU Vienna
- Research Division Thermal Process Engineering and Simulation / TU Vienna
- Institute of Chemical Technologies and Analytics / TU Vienna
Department of Knowledge-Based Mathematical Systems
(Fuzzy Logic Laboratory Linz – FLLL) / JKU Linz
- Institute of Applied Physics / JKU Linz
- Institute for Microelectronics and Microsensors / JKU Linz
- SCCH, Software Competence Center Hagenberg GmbH
Kompetenzzentrum Holz GmbH
- Keysight Technologies GmbH
- Brau Union Österreich AG, Linz
- Metadynea Austria GmbH, Krems
- EXPUTEC GmbH, Vienna
- Kelheim Fibres GmbH, Kelheim, Germany
- KRAIBURG Austria GmbH & Co. KG, Geretsberg
- Lenzing Aktiengesellschaft, Lenzing
- OMV Refining & Marketing GmbH, Refinery Schwechat
- Sandoz GmbH, Kundl
- voestalpine Stahl GmbH, Linz
- DPx Fine Chemicals Austria GmbH & Co KG