A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser

Diffusers are widely used in technical practice in order to make the transition from a tube/pipe or duct of smaller section to a larger one. Low pressure drop across a diffuser is highly required to save pumping or ventilation work. Diffuser pressure drop is caused by enhanced turbulence of the flow...

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Main Authors: Samuel Mfon, Sunday Alabi, Etim Udoetok, Uchechukwu Offor, Emmanuel U. Nsek, Zdenek Tomas, Tomas Miklik
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2019-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/9933
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spelling doaj-98d350d950a547a6bb38bd861d80e10c2021-02-16T21:04:48ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162019-05-017410.3303/CET1974168A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical DiffuserSamuel MfonSunday AlabiEtim UdoetokUchechukwu OfforEmmanuel U. NsekZdenek TomasTomas MiklikDiffusers are widely used in technical practice in order to make the transition from a tube/pipe or duct of smaller section to a larger one. Low pressure drop across a diffuser is highly required to save pumping or ventilation work. Diffuser pressure drop is caused by enhanced turbulence of the flow, separation of the boundary layer from the diffuser walls and violent vortex formation. As a result, the precise pressure drop coefficient estimation is of high importance. The pressure drop coefficient (?d) of a diffuser depends on diffuser geometry and flow parameters. Traditionally, a number of models must be combined and used with the data obtained from tables (with 2-D interpolation) and charts in a series of steps to obtain ?d. This approach is not suitable for computer-based simulations. Consequently, in this study, a semi-empirical model, for estimating ?d of a conical diffuser, as an explicit function of the flow parameters and the diffuser geometry, is developed. The model was validated using literature data. The performance indices which were obtained as high R2=0.9942, low mean absolute relative error (MeARE)=4.04%, low root mean squared error (RMSE)=0.0192 are an indication that the proposed model is accurate enough for computer-based simulations and performance evaluation of a conical diffuser over a wide range of operating conditions.https://www.cetjournal.it/index.php/cet/article/view/9933
collection DOAJ
language English
format Article
sources DOAJ
author Samuel Mfon
Sunday Alabi
Etim Udoetok
Uchechukwu Offor
Emmanuel U. Nsek
Zdenek Tomas
Tomas Miklik
spellingShingle Samuel Mfon
Sunday Alabi
Etim Udoetok
Uchechukwu Offor
Emmanuel U. Nsek
Zdenek Tomas
Tomas Miklik
A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
Chemical Engineering Transactions
author_facet Samuel Mfon
Sunday Alabi
Etim Udoetok
Uchechukwu Offor
Emmanuel U. Nsek
Zdenek Tomas
Tomas Miklik
author_sort Samuel Mfon
title A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
title_short A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
title_full A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
title_fullStr A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
title_full_unstemmed A Semi-empirical Model for Estimation of Pressure Drop Coefficient of a Conical Diffuser
title_sort semi-empirical model for estimation of pressure drop coefficient of a conical diffuser
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2019-05-01
description Diffusers are widely used in technical practice in order to make the transition from a tube/pipe or duct of smaller section to a larger one. Low pressure drop across a diffuser is highly required to save pumping or ventilation work. Diffuser pressure drop is caused by enhanced turbulence of the flow, separation of the boundary layer from the diffuser walls and violent vortex formation. As a result, the precise pressure drop coefficient estimation is of high importance. The pressure drop coefficient (?d) of a diffuser depends on diffuser geometry and flow parameters. Traditionally, a number of models must be combined and used with the data obtained from tables (with 2-D interpolation) and charts in a series of steps to obtain ?d. This approach is not suitable for computer-based simulations. Consequently, in this study, a semi-empirical model, for estimating ?d of a conical diffuser, as an explicit function of the flow parameters and the diffuser geometry, is developed. The model was validated using literature data. The performance indices which were obtained as high R2=0.9942, low mean absolute relative error (MeARE)=4.04%, low root mean squared error (RMSE)=0.0192 are an indication that the proposed model is accurate enough for computer-based simulations and performance evaluation of a conical diffuser over a wide range of operating conditions.
url https://www.cetjournal.it/index.php/cet/article/view/9933
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