Turbulence Models Application in Air Flow of Crossflow Turbine

Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of t...
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Autor*in:	Gun Gun R. Gunadi [verfasserIn] Ahmad Indra Siswantara [verfasserIn] Budiarso [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	k-? model RNG k-? model Turbulent flow

Übergeordnetes Werk:	In: International Journal of Technology - Universitas Indonesia, 2012, 9(2018), 7, Seite 1490-1497
Übergeordnetes Werk:	volume:9 ; year:2018 ; number:7 ; pages:1490-1497

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.14716/ijtech.v9i7.2636

Katalog-ID:	DOAJ000537845

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callnumber-first	T - Technology
author	Gun Gun R. Gunadi
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title	Turbulence Models Application in Air Flow of Crossflow Turbine
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title_full	Turbulence Models Application in Air Flow of Crossflow Turbine
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title_sort	turbulence models application in air flow of crossflow turbine
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title_auth	Turbulence Models Application in Air Flow of Crossflow Turbine
abstract	Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.
abstractGer	Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.
abstract_unstemmed	Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.
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container_issue	7
title_short	Turbulence Models Application in Air Flow of Crossflow Turbine
url	https://doi.org/10.14716/ijtech.v9i7.2636 https://doaj.org/article/92a8017a6a79490f832b097bb75b826b http://ijtech.eng.ui.ac.id/article/view/2636 https://doaj.org/toc/2086-9614 https://doaj.org/toc/2087-2100
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doi_str	10.14716/ijtech.v9i7.2636
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up_date	2024-07-03T15:13:32.770Z
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