Technological developments require the transfer to their location of application to make use of them. We describe the transfer of a real‐time monitoring system for lab‐scale preparative chromatography to two new sites where it will be used and developed further. Equivalent equipment was used. The capture of a biopharmaceutical model protein, human fibroblast growth factor 2 (FGF‐2) was used to evaluate the system transfer. Predictive models for five quality attributes based on partial least squares regression were transferred. Six out of seven online sensors (UV/VIS, pH, conductivity, IR, RI, and MALS) showed comparable signals between the sites while one sensor (fluorescence) showed different signal profiles. A direct transfer of the models for real‐time monitoring was not possible, mainly due to differences in sensor signals. Adaptation of the models was necessary. Then, among five prediction models, the prediction errors of the test run at the new sites were on average twice as high as at the training site (model‐wise 0.9–5.7 times). Additionally, new prediction models for different products were trained at each new site. These allowed monitoring the critical quality attributes of two new biopharmaceutical products during their purification processes with mean relative deviations between 1% and 33%.

Der vorliegende Beitrag fasst den aktuellen Stand der Forschung bez. der Modellierung von Schwenktraversen‐Dehnfugen (DS) und deren zugehöriger Komponenten zusammen. Ausgehend von den erarbeiteten Schwachstellen wird ein verbesserter Ansatz zur realitätsnahen Modellierung und Bemessung von DS hergeleitet. Dieser besteht aus zwei aufeinander aufbauenden Arbeitsschritten. Zunächst erfolgt eine korrekte experimentelle Ermittlung und Ableitung der Steifigkeits‐ und Dämpfungskoeffizienten der Elastomerkomponenten der Dehnfuge. Auf der Grundlage einer in diesem Beitrag vorgestellten Methode zur arbeitskonjugierten Linearisierung der viskoelastischen Materialeigenschaften der Lagerpolymere wird die Verwendung baupraktisch üblicher Finite‐Elemente‐Software zur Untersuchung von DS ermöglicht. Das Beispiel der numerischen Modellierung einer DS veranschaulicht das hier vorgestellte Näherungsverfahren und verdeutlicht die realitätsnahe und zutreffende Abbildung von DS mit dieser Methode.

<p>In a current research project at the University of the German Armed Forces in Munich, we are investigating the dynamic behavior of a swivel-joist-expansion-joint. The special feature of this construction results from the entire polymer-based damping support, which is positioned as connecting element between lamellas and their supporting traverse. These pre-stressed elastomer-components create a certain clamping effect between the adjacent superimposed components. This special application is used for isolation and shock reduction. The elastomers are investigated by dynamic mechanical thermal analysis (DMTA). Associated master curves for the description of the time, frequency and temperature dependent material behavior in the form of a generalized Maxwell model with corresponding Time Temperature Superposition Principle were derived from the obtained results. The load-dependent linearization of the frequency response distribution can be integrated into a finite-element-model (FEM) as a practical modeling approach. This allowed the approximation of the viscoelastic and temperature-dependent damping behavior for common engineering FE software. Finally, the results of the FE simulation of a truck crossing the swivel beam expansion joint are presented and compared with the measured signal from actual truck crossing experiments.</p>