Component Cleaning Analysis 4.0 – Fraunhofer IVV presents model system at PARTS2CLEAN 2021
In keeping with the theme of this year's PARTS2CLEAN, “Quality needs perfection”, the Fraunhofer Institute for Process Engineering and Packaging IVV in Stuttgart presents a solution for the complex challenges of “Cleaning 4.0”. From October 5–7, 2021 at Hall 4, Stand B22, the Institute will present an innovative model system for the digitized analysis of industrial component cleaning processes.
A digital solution approach for consistent, quality-controlled component cleaning processes
The practicable model system enables smart, networked process data recording. It connects sensor-based data from the cleaning process, determines the influence of the parameters, and converts the acquired data into information that the user can utilize directly. The prototype aids in the upcoming transition from experience-based to knowledge-based organization of processes.
The results and knowledge obtained are essential for quality-maintaining process management, as well as for increasing the efficiency of the cleaning process.
The system solution can be used both in the planning of new cleaning facilities as well as in existing facilities, as it functions independently of the operating system as well as the machine and system control.
Combined in-line contamination detection with integrated AI simplifies
monitoring of washing bath condition
Dr. Enrico Fuchs’ team at the Fraunhofer IVV developed an innovative, affordable system for in-line measurements within a spray cleaning system that can be used to determine the state of contamination and cleaning progress directly during the cleaning process.
The demonstrator developed in cooperation with Georg Render GmbH uses a contamination sensor based on UV excitation, which determines the degree of contamination of the component directly within the cleaning facility. The washing bath also contains an in-line spectroscope whose measurement results provide information about the level of contamination and detergent concentration within the bath.
The integration of AI applications facilitates the target-based evaluation of the various data obtained. Error analyses can be conducted, and recommended actions for the users can be determined. The integration of knowledge gained through the experience of machine operators in conjunction with machine learning is possible.
HMI: : Data presentation appropriate for tasks and users
The team has integrated an HMI into the model system, designed according to the principles of ecological interface design in order to provide a meaningful representation of the measurement results to help the user monitor and operate the cleaning facility. This was developed with expertise of the Engineering Psychology Department in the Institute’s Processing Technology Division. As a “mediator” between human and machine, an innovative HMI design enables the improvement of the user’s process comprehension as well as the digital processing of experiential knowledge. This results in a reduction of operating errors, shorter operating times and thus an increase in process efficiency.
Contact at im Fraunhofer IVV
Dr. Enrico Fuchs
+49 351 436 14 901