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Titlebook: Digital Twins; Applications to the Christoph Herwig,Ralf P?rtner,Johannes M?ller Book 2021 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 16:12:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Twins
副標(biāo)題Applications to the
編輯Christoph Herwig,Ralf P?rtner,Johannes M?ller
視頻videohttp://file.papertrans.cn/280/279866/279866.mp4
概述First book to provide an overview of the role of digital twins in bioprocessing.Shows the application of digital twins in various contexts.Explores new and efficient methods for research and developme
叢書名稱Advances in Biochemical Engineering/Biotechnology
圖書封面Titlebook: Digital Twins; Applications to the  Christoph Herwig,Ralf P?rtner,Johannes M?ller Book 2021 The Editor(s) (if applicable) and The Author(s)
描述.This is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization...Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. ..In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan 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 an
出版日期Book 2021
關(guān)鍵詞Process modeling; Digitalization; Biopharmaceutical production; Virtual instrumentation; Industry 4; 0; Di
版次1
doihttps://doi.org/10.1007/978-3-030-71656-1
isbn_softcover978-3-030-71658-5
isbn_ebook978-3-030-71656-1Series ISSN 0724-6145 Series E-ISSN 1616-8542
issn_series 0724-6145
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Digital Twins影響因子(影響力)




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沙發(fā)
發(fā)表于 2025-3-21 21:45:07 | 只看該作者
https://doi.org/10.1007/978-3-030-71656-1Process modeling; Digitalization; Biopharmaceutical production; Virtual instrumentation; Industry 4; 0; Di
板凳
發(fā)表于 2025-3-22 03:02:47 | 只看該作者
地板
發(fā)表于 2025-3-22 04:53:59 | 只看該作者
Tim Baines,Ali Ziaee Bigdeli,Kawal Kapooreterogeneities. Therefore, the scaling of such processes from laboratory to industrial scale and vice versa is not a trivial task. Traditional scale-down methodologies consider several technical parameters, so that systems on the laboratory scale tend to qualitatively reflect large-scale effects, bu
5#
發(fā)表于 2025-3-22 10:58:56 | 只看該作者
Tim Baines,Ali Ziaee Bigdeli,Kawal Kapoors. Among others, a major hurdle during process development and optimization studies is the huge experimental effort in conventional design of experiments (DoE) methods. As being an explorative approach, DoE requires extensive expert knowledge about the investigated factors and their boundary values
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發(fā)表于 2025-3-22 14:10:46 | 只看該作者
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發(fā)表于 2025-3-22 20:41:15 | 只看該作者
https://doi.org/10.1007/978-3-319-06935-7sor technologies, enhanced computational power and a broad set of data analytical techniques enable solid bases for digital transformation in the biopharmaceutical industry..Among various data analytical techniques, the Kalman filter and its non-linear extensions are powerful tools for prediction of
8#
發(fā)表于 2025-3-23 00:57:55 | 只看該作者
Taru Hakanen,Minna Kansola,Katri Valkokarientire value chains is required. Implementing digital twins to newly built plants or production lines is challenging and even more complicated for currently operating production processes or factories. This chapter reviews and discusses strategies and tools to successfully implement digital twins in
9#
發(fā)表于 2025-3-23 03:26:49 | 只看該作者
https://doi.org/10.1007/978-3-662-48670-2hnical prerequisites and components including data modeling, the lifecycle, and different skills which are required from people to be put together and collaborate efficiently with digital twins are discussed with practical examples which have been implemented in labs and in manufacturing.
10#
發(fā)表于 2025-3-23 09:09:36 | 只看該作者
Andreas H Hamel,Frank Heyde,Carola Schragemmatory diseases), especially in the field of regenerative medicine. However, for autologous (patient-specific) and allogeneic (off-the-shelf) hMSC-based therapies, in vitro expansion is necessary prior to the clinical application in order to achieve the required cell numbers. Safe, reproducible, an
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