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Titlebook: Digital Twins; Applications to the Christoph Herwig,Ralf Pörtner,Johannes Möller Book 2021 The Editor(s) (if applicable) and The Author(s)

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发表于 2025-3-25 03:32:19 | 显示全部楼层
Tim Baines,Ali Ziaee Bigdeli,Kawal Kapoorl twins and their role in mDoE are discussed. First, statistical DoE methods are introduced as the basis of mDoE. Second, the combination of a mathematical process model and DoE into mDoE is examined. This includes mathematical model structures and a selection scheme for the choice of DoE designs. F
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https://doi.org/10.1007/978-3-319-06935-7overview of applications of the Kalman filter and its non-linear extensions to bioreactors are presented. Furthermore, in a case study an example of the digital twin of the backer’s yeast batch cultivation process is presented..A digital twin of a bioreactor mirrors the processes of the real bioreac
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Andreas H Hamel,Frank Heyde,Carola Schrageational Fluid Dynamics (CFD) which has become widely used in the biotech industry for studying local characteristics within bioreactors or kinetic growth modelling, provide possible solutions for such tasks..In this review, we will present the current state-of-the-art for the in vitro expansion of h
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Postscript II: Infinitary Combinatoricsct gradients; high-shear regions are among the most interesting factors that can be reproduced adequately with help of a digital twin. In this chapter basic principles of this method will be introduced, and later on some practical aspects of particle tracking technique will be illustrated. In the fi
发表于 2025-3-26 03:49:35 | 显示全部楼层
0724-6145 novel bioprocesses, and to efficiently monitor them. ..This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline an978-3-030-71658-5978-3-030-71656-1Series ISSN 0724-6145 Series E-ISSN 1616-8542
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Digital Twins and Their Role in Model-Assisted Design of Experiments,l twins and their role in mDoE are discussed. First, statistical DoE methods are introduced as the basis of mDoE. Second, the combination of a mathematical process model and DoE into mDoE is examined. This includes mathematical model structures and a selection scheme for the choice of DoE designs. F
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The Kalman Filter for the Supervision of Cultivation Processes,overview of applications of the Kalman filter and its non-linear extensions to bioreactors are presented. Furthermore, in a case study an example of the digital twin of the backer’s yeast batch cultivation process is presented..A digital twin of a bioreactor mirrors the processes of the real bioreac
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