An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models

The basic RANS-CFD analysis of the simplest radial-inflow turbine configuration is the subject of this paper. An original technique is here proposed to model the effect of the vaneless spiral casing using single-channel CFD calculations and providing an effective alternative to the more complex simu...

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Autores principales: Danieli Piero, Masi Massimo, Lazzaretto Andrea, Carraro Gianluca
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FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/0ab7d28a24dd4b45adf8a6ab72e118db
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spelling oai:doaj.org-article:0ab7d28a24dd4b45adf8a6ab72e118db2021-11-08T15:18:51ZAn engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models2267-124210.1051/e3sconf/202131211003https://doaj.org/article/0ab7d28a24dd4b45adf8a6ab72e118db2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_11003.pdfhttps://doaj.org/toc/2267-1242The basic RANS-CFD analysis of the simplest radial-inflow turbine configuration is the subject of this paper. An original technique is here proposed to model the effect of the vaneless spiral casing using single-channel CFD calculations and providing an effective alternative to the more complex simulation of the 360-degree domain otherwise required to simulate this turbine configuration. The aim of the paper is to verify the effectiveness of the proposed modelling technique as a reliable engineering approach conceived to support the preliminary design phase of radial-inflow turbines with time-effective CFD calculations. To this end, the open-source CFD code MULTALL has been used to predict the aerodynamic performance of optimal designs of radial-inflow turbines with different specific speed and diameter and working with air as ideal gas. The MULTALL predictions are compared with the corresponding steady-state results obtained by calculations suited to the preliminary assessment of radial turbines designs performed on fully 360-degree turbine domains using the commercial code Star CCM+®. The investigation is conducted on two turbines that are designed in accordance with a widely validated method. The results show that the proposed CFD approach predicts well the trends and values of the aerodynamic performance of both the turbine designs: a 5% overestimation of the performance predicted by the fully 360-degree CFD models was never exceeded. The suggested turbine modelling approach implemented in MULTALL requires a three times lower computation time than the corresponding traditional 360-degree model.Danieli PieroMasi MassimoLazzaretto AndreaCarraro GianlucaEDP Sciencesarticlecfdradial turbinespreliminary design of turbomachinerymultallEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 312, p 11003 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic cfd
radial turbines
preliminary design of turbomachinery
multall
Environmental sciences
GE1-350
spellingShingle cfd
radial turbines
preliminary design of turbomachinery
multall
Environmental sciences
GE1-350
Danieli Piero
Masi Massimo
Lazzaretto Andrea
Carraro Gianluca
An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
description The basic RANS-CFD analysis of the simplest radial-inflow turbine configuration is the subject of this paper. An original technique is here proposed to model the effect of the vaneless spiral casing using single-channel CFD calculations and providing an effective alternative to the more complex simulation of the 360-degree domain otherwise required to simulate this turbine configuration. The aim of the paper is to verify the effectiveness of the proposed modelling technique as a reliable engineering approach conceived to support the preliminary design phase of radial-inflow turbines with time-effective CFD calculations. To this end, the open-source CFD code MULTALL has been used to predict the aerodynamic performance of optimal designs of radial-inflow turbines with different specific speed and diameter and working with air as ideal gas. The MULTALL predictions are compared with the corresponding steady-state results obtained by calculations suited to the preliminary assessment of radial turbines designs performed on fully 360-degree turbine domains using the commercial code Star CCM+®. The investigation is conducted on two turbines that are designed in accordance with a widely validated method. The results show that the proposed CFD approach predicts well the trends and values of the aerodynamic performance of both the turbine designs: a 5% overestimation of the performance predicted by the fully 360-degree CFD models was never exceeded. The suggested turbine modelling approach implemented in MULTALL requires a three times lower computation time than the corresponding traditional 360-degree model.
format article
author Danieli Piero
Masi Massimo
Lazzaretto Andrea
Carraro Gianluca
author_facet Danieli Piero
Masi Massimo
Lazzaretto Andrea
Carraro Gianluca
author_sort Danieli Piero
title An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
title_short An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
title_full An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
title_fullStr An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
title_full_unstemmed An engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel CFD models
title_sort engineering approach for the fast simulation of radial inflow turbines with vaneless spiral casing by single-channel cfd models
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/0ab7d28a24dd4b45adf8a6ab72e118db
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