Search
ICNAP is a collaborative center where we come together to address and solve the challenges of digitalization
66
Projects
15
Services
49
Files
7
Topic Fields
70
Scientific Contributors
4
Institutes
To fully leverage the benefits of our resources, we invite you to become a member of our community. Membership provides you with exclusive access to all project results, allowing you to delve deeper into the world of ICNAP.
We developed a parameter transformation system for optimizing complex processes using multi-objective Bayesian experimental design. Validated on ultrashort pulse laser structuring and plant cell fermentation, it improved quality characteristics and productivity. Future research will focus on adaptive optimization of long-term bioreactor cultivation for plant and animal cells, integrating and enhancing process knowledge.
| Topic Fields | |
| Published | 2024 |
| Involved Institutes | |
| Project Type | ICNAP Research/Transfer Project |
| Responsibles |
Contact us to get in touch! With a membership, you’ll gain full access to all project information and updates.
Model-based methods for identifying optimal process parameters impose specific requirements on the representation of parameters and data, which are not compatible with continuous and time-dependent processes. To optimize processes with more complex parameter and data representations using advanced methods - in particular multi-objective Bayesian experimental design - we developed a comprehensive parameter transformation system allowing engineers and process developers to comprehensively analyze and rapidly optimize their production processes.
The system has been validated on two cases including ultrashort pulse laser structuring and fermentation of plant suspension cells in bioreactors. For laser structuring, the application of our multi-objective process optimization software enabled a more precise optimization by modeling multiple key quality characteristics comprising surface roughness, structuring depth and smoothness of edge areas. In case of the fermentation, a new medium was developed which had a 33 % lower resource demand but led in parallel to a 25 % higher growth rate, thus substantially increasing the productivity and economics of the fermentation process.
In our further research, we will focus on the adaptive optimization of long-term bioreactor cultivation processes for both plant and animal cells. In doing so we emphasize the integration and enhancement of process knowledge through our optimization system.
© Fraunhofer 2025
