2025/06/30 - New Paper on Predicting Filter Medium Performance

Sun, 14 Dec 2025 14:01:54 +0100
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We are pleased to announce that our new paper, "Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies”, was published in the journal Applied Sciences. This work was made possible through the contributions of Dennis Teutscher, Tyll Weber-Carstanjen of the company SIMEX, Stephan Simonis and Mathias J. Krause. In this paper, a novel approach to optimize the operation of chamber filter presses through digital twins powered by machine learning is presented. By leveraging sensor data and neural network models, we can accurately forecast key performance indicators such as pressure and flow rates, even in partially or completely unknown scenarios. This advancement enables more efficient process monitoring, reduces downtime, and supports sustainable operation in solid-liquid separation processes. The full paper is available open-access here: https://www.mdpi.com/2076-3417/15/9/4933