9783731512356.pdf
Centrifugal classifiers are processing machines used in the gas-particle classification. The aim of this work is to reduce energy costs by improving the classification properties and reducing the pressure drop. In addition to design measures, the focus is also on model development. For the developme...
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KIT Scientific Publishing
2022
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oapen-20.500.12657-598382022-12-06T03:08:16Z Modellierung und Optimierung der strömungstechnischen Vorgänge in Abweiseradsichtern Betz, Michael Gas-Partikel-Klassierung Abweiseradsichter Mathematische Modellierung Numerische Simulation Optimierung Gas particle separation Centrifugal Classifier Mathematical Modeling Numerical Simulation Optimization bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials Centrifugal classifiers are processing machines used in the gas-particle classification. The aim of this work is to reduce energy costs by improving the classification properties and reducing the pressure drop. In addition to design measures, the focus is also on model development. For the development of the models, a deeper understanding of the flow processes is required. 2022-12-05T15:40:41Z 2022-12-05T15:40:41Z 2022 book ONIX_20221205_9783731512356_11 9783731512356 https://library.oapen.org/handle/20.500.12657/59838 ger application/pdf n/a 9783731512356.pdf https://doi.org/10.5445/KSP/1000150815 KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000150815 Centrifugal classifiers are processing machines used in the gas-particle classification. The aim of this work is to reduce energy costs by improving the classification properties and reducing the pressure drop. In addition to design measures, the focus is also on model development. For the development of the models, a deeper understanding of the flow processes is required. 10.5445/KSP/1000150815 44e29711-8d53-496b-85cc-3d10c9469be9 9783731512356 KIT Scientific Publishing 164 Karlsruhe open access |
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Centrifugal classifiers are processing machines used in the gas-particle classification. The aim of this work is to reduce energy costs by improving the classification properties and reducing the pressure drop. In addition to design measures, the focus is also on model development. For the development of the models, a deeper understanding of the flow processes is required. |
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KIT Scientific Publishing |
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2022 |
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https://doi.org/10.5445/KSP/1000150815 |
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