A new artificial neural network approach for fluid flow simulations

In this research we describe our attempt to get instantaneous numerical simulation for fluid flow by using Artificial Neural networks (ANN). Such simulation should provide a reliable perception about the fluid behaviour with respect to both momentum and energy equations. In addition to the preceding...

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Main Authors: Sabir, O., Tuan Ya, T.M.Y.S.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32020 /
Published: INSTICC Press 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908888833&doi=10.5220%2f0005157503340338&partnerID=40&md5=8353ede5d19529525f2bacc648bbbd18
http://eprints.utp.edu.my/32020/
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id utp-eprints.32020
recordtype eprints
spelling utp-eprints.320202022-03-29T04:06:50Z A new artificial neural network approach for fluid flow simulations Sabir, O. Tuan Ya, T.M.Y.S. In this research we describe our attempt to get instantaneous numerical simulation for fluid flow by using Artificial Neural networks (ANN). Such simulation should provide a reliable perception about the fluid behaviour with respect to both momentum and energy equations. In addition to the preceding recorded data, the proposed method consider the geometrical boundaries profile as a major contributions for ANN training phase. Our study is driven by the need of rapid response especially in medical cases, surgeon diagnosis, engineering emergency situations, and when novel circumstances occurs. Furthermore, the existing computational fluid dynamics tools require long time to response and the present of professional expert to set the parameters for the different cases. In fact, ANN can deal with the lack of proper physical models or the present of uncertainty about some conditions that usually affect the outcomes form the other approaches. We manage to get acceptable result for 1D-flow equations with respect to both energy and momentum equations. Our ANN approach is able to handle fluid flow prediction with known boundaries velocity. This approach can be the first step for neural network computational program that can tackle variance type of problems. INSTICC Press 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908888833&doi=10.5220%2f0005157503340338&partnerID=40&md5=8353ede5d19529525f2bacc648bbbd18 Sabir, O. and Tuan Ya, T.M.Y.S. (2014) A new artificial neural network approach for fluid flow simulations. In: UNSPECIFIED. http://eprints.utp.edu.my/32020/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this research we describe our attempt to get instantaneous numerical simulation for fluid flow by using Artificial Neural networks (ANN). Such simulation should provide a reliable perception about the fluid behaviour with respect to both momentum and energy equations. In addition to the preceding recorded data, the proposed method consider the geometrical boundaries profile as a major contributions for ANN training phase. Our study is driven by the need of rapid response especially in medical cases, surgeon diagnosis, engineering emergency situations, and when novel circumstances occurs. Furthermore, the existing computational fluid dynamics tools require long time to response and the present of professional expert to set the parameters for the different cases. In fact, ANN can deal with the lack of proper physical models or the present of uncertainty about some conditions that usually affect the outcomes form the other approaches. We manage to get acceptable result for 1D-flow equations with respect to both energy and momentum equations. Our ANN approach is able to handle fluid flow prediction with known boundaries velocity. This approach can be the first step for neural network computational program that can tackle variance type of problems.
format Conference or Workshop Item
author Sabir, O.
Tuan Ya, T.M.Y.S.
spellingShingle Sabir, O.
Tuan Ya, T.M.Y.S.
A new artificial neural network approach for fluid flow simulations
author_sort Sabir, O.
title A new artificial neural network approach for fluid flow simulations
title_short A new artificial neural network approach for fluid flow simulations
title_full A new artificial neural network approach for fluid flow simulations
title_fullStr A new artificial neural network approach for fluid flow simulations
title_full_unstemmed A new artificial neural network approach for fluid flow simulations
title_sort new artificial neural network approach for fluid flow simulations
publisher INSTICC Press
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908888833&doi=10.5220%2f0005157503340338&partnerID=40&md5=8353ede5d19529525f2bacc648bbbd18
http://eprints.utp.edu.my/32020/
_version_ 1741197675502501888
score 11.62408

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