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Development of an Improved Calculation Method for Hollow Horizontal Gas-Liquid Separators.

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Title: Development of an Improved Calculation Method for Hollow Horizontal Gas-Liquid Separators.
Authors: Minchenkov, N. D.1 (AUTHOR) nminch02@mail.ru, Churakova, S. K.1 (AUTHOR)
Source: Theoretical Foundations of Chemical Engineering. Jun2025, Vol. 59 Issue 3, p677-681. 5p.
Subjects: Separation (Technology), Machine separators, Research methodology, Reliability in engineering, Scientific method, Separation of gases
Abstract: Gas–liquid systems under the effect of gravity are separated in gravity separators, which, with sufficiently high efficiency, are structurally simpler and also create a lower pressure drop compared to cyclone separators. There are various domestic and foreign methods for calculating horizontal hollow gas–liquid separators. They have such disadvantages as applicability only to certain deposition modes, excessive simplification of the applied models, difficulty in automating the calculations, etc. The identification of these shortcomings makes it possible, based on the theory of deposition and the description of the geometry of the circular section of a horizontal gas–liquid separator, to develop a methodology in which the process of droplet deposition is described by a universal criterion equation and the degree of filling of the apparatus with liquid, affecting the height of droplet deposition, is also taken into account. The obtained method makes it possible to determine the product of the length of the separation zone by the separator radius and, based on this, select a typical device. The development of a new universal technique increases the reliability of the design of devices and their subsequent operation. [ABSTRACT FROM AUTHOR]
Copyright of Theoretical Foundations of Chemical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Theoretical+Foundations+of+Chemical+Engineering%22">Theoretical Foundations of Chemical Engineering</searchLink>. Jun2025, Vol. 59 Issue 3, p677-681. 5p.
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  Data: Gas–liquid systems under the effect of gravity are separated in gravity separators, which, with sufficiently high efficiency, are structurally simpler and also create a lower pressure drop compared to cyclone separators. There are various domestic and foreign methods for calculating horizontal hollow gas–liquid separators. They have such disadvantages as applicability only to certain deposition modes, excessive simplification of the applied models, difficulty in automating the calculations, etc. The identification of these shortcomings makes it possible, based on the theory of deposition and the description of the geometry of the circular section of a horizontal gas–liquid separator, to develop a methodology in which the process of droplet deposition is described by a universal criterion equation and the degree of filling of the apparatus with liquid, affecting the height of droplet deposition, is also taken into account. The obtained method makes it possible to determine the product of the length of the separation zone by the separator radius and, based on this, select a typical device. The development of a new universal technique increases the reliability of the design of devices and their subsequent operation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theoretical Foundations of Chemical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2025
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