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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AIDIC Servizi S.r.l.
2019-05-01
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Series: | Chemical Engineering Transactions |
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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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