Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent

Physics concepts and phenomena taught in college and university always pose significant challenges even to excellent teachers. The subject required a deep understanding of many mathematical solving techniques together with understanding physics concepts and equations

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Main Authors: Ismail, Zurita, Laham, Mohamed Faris, Maarof, Saleha, Tamchek, Nizam
Format: Article
Published: NeuroQuantology 2022
Online Access:http://psasir.upm.edu.my/id/eprint/101828/
https://www.neuroquantology.com/open-access/IMPROVING+THE+LEARNING+OF+COMPUTATIONAL+FLUID+DYNAMICS+%2528CFD%2529+USING+ANSYS+FLUENT_4911/
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Institution: Universiti Putra Malaysia
id my.upm.eprints.101828
record_format eprints
spelling my.upm.eprints.1018282024-01-16T04:53:13Z http://psasir.upm.edu.my/id/eprint/101828/ Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent Ismail, Zurita Laham, Mohamed Faris Maarof, Saleha Tamchek, Nizam Physics concepts and phenomena taught in college and university always pose significant challenges even to excellent teachers. The subject required a deep understanding of many mathematical solving techniques together with understanding physics concepts and equations NeuroQuantology 2022-06 Article PeerReviewed Ismail, Zurita and Laham, Mohamed Faris and Maarof, Saleha and Tamchek, Nizam (2022) Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent. NeuroQuantology, 20 (6). 9283 - 9290. ISSN 1303-5150 https://www.neuroquantology.com/open-access/IMPROVING+THE+LEARNING+OF+COMPUTATIONAL+FLUID+DYNAMICS+%2528CFD%2529+USING+ANSYS+FLUENT_4911/ 10.14704/nq.2022.20.6.NQ22910
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Physics concepts and phenomena taught in college and university always pose significant challenges even to excellent teachers. The subject required a deep understanding of many mathematical solving techniques together with understanding physics concepts and equations
format Article
author Ismail, Zurita
Laham, Mohamed Faris
Maarof, Saleha
Tamchek, Nizam
spellingShingle Ismail, Zurita
Laham, Mohamed Faris
Maarof, Saleha
Tamchek, Nizam
Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
author_facet Ismail, Zurita
Laham, Mohamed Faris
Maarof, Saleha
Tamchek, Nizam
author_sort Ismail, Zurita
title Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
title_short Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
title_full Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
title_fullStr Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
title_full_unstemmed Improving the learning of Computational Fluid Dynamics (CFD) using ansys fluent
title_sort improving the learning of computational fluid dynamics (cfd) using ansys fluent
publisher NeuroQuantology
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/101828/
https://www.neuroquantology.com/open-access/IMPROVING+THE+LEARNING+OF+COMPUTATIONAL+FLUID+DYNAMICS+%2528CFD%2529+USING+ANSYS+FLUENT_4911/
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