Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD

Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD

The sudden expansion of flow in a supersonic flow regime has gained relevance in the recent pasts for a wide run of applications. A number of kinematic as well as geometric parameters have been significantly found to impact the base pressure created within the suddenly expanded stream. The current...

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Main Authors: Quadros, Jaimon Dennis, Khan, Sher Afghan
Format: Article
Language:English
Published: Journal of Applied Fluid Mechanics 2020
Subjects:
TL500 Aeronautics
Online Access:http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/1/JAFM-jaimon%26SAKhan.pdf
id iium-73892
recordtype eprints
spelling iium-738922019-08-29T01:25:07Z http://irep.iium.edu.my/73892/ Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD Quadros, Jaimon Dennis Khan, Sher Afghan TL500 Aeronautics The sudden expansion of flow in a supersonic flow regime has gained relevance in the recent pasts for a wide run of applications. A number of kinematic as well as geometric parameters have been significantly found to impact the base pressure created within the suddenly expanded stream. The current research intends to create a predictive model for base pressure that is established in the abruptly extended stream. The artificial neural network (ANN) approach is being utilized for this purpose. The database utilized for training the network was assembled utilizing computational fluid dynamics (CFD). This was done by the design of experiments based L27 Orthogonal array. The three input parameters were Mach number (M), nozzle pressure ratio (NPR) and area ratio (AR) and base pressure was the output parameter. The CFD numerical demonstrate was approved by an experimental test rig that developed results for base pressure and used a nozzle and sudden extended axisymmetric duct to do so. The ANN architecture comprised of three layers with eight neurons in the hidden layer. The algorithm for optimization was Levenberg-Marquardt. The ANN was able to successfully predict the base pressure with a regression coefficient R2 of less than 0.99 and RMSE=0.0032. The importance of input parameters influencing base pressure was estimated by using the ANN weight coefficients. Mach number obtained relative importance of 47.16% claiming to be the most dominating factor. Journal of Applied Fluid Mechanics 2020 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73892/1/JAFM-jaimon%26SAKhan.pdf Quadros, Jaimon Dennis and Khan, Sher Afghan (2020) Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD. Journal of Applied Fluid Mechanics, 13 (2). pp. 499-511. ISSN 1735-3572 E-ISSN 1735-3645 http://jafmonline.net/web/guest/home?p_p_id=JournalArchive_WAR_JournalArchive_INSTANCE_nvhn&p_p_action=0&p_p_state=maximized&p_p_mode=view&p_p_col_id=column-2&p_p_col_pos=3&p_p_col_count=6&_JournalArchive_WAR_JournalArchive_INSTANCE_nvhn_form_page=main_form&selectedVolumeId=76&selectedIssueId=1005 10.29252/jafm.13.02.30049
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TL500 Aeronautics
spellingShingle TL500 Aeronautics
Quadros, Jaimon Dennis
Khan, Sher Afghan
Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
description The sudden expansion of flow in a supersonic flow regime has gained relevance in the recent pasts for a wide run of applications. A number of kinematic as well as geometric parameters have been significantly found to impact the base pressure created within the suddenly expanded stream. The current research intends to create a predictive model for base pressure that is established in the abruptly extended stream. The artificial neural network (ANN) approach is being utilized for this purpose. The database utilized for training the network was assembled utilizing computational fluid dynamics (CFD). This was done by the design of experiments based L27 Orthogonal array. The three input parameters were Mach number (M), nozzle pressure ratio (NPR) and area ratio (AR) and base pressure was the output parameter. The CFD numerical demonstrate was approved by an experimental test rig that developed results for base pressure and used a nozzle and sudden extended axisymmetric duct to do so. The ANN architecture comprised of three layers with eight neurons in the hidden layer. The algorithm for optimization was Levenberg-Marquardt. The ANN was able to successfully predict the base pressure with a regression coefficient R2 of less than 0.99 and RMSE=0.0032. The importance of input parameters influencing base pressure was estimated by using the ANN weight coefficients. Mach number obtained relative importance of 47.16% claiming to be the most dominating factor.
format Article
author Quadros, Jaimon Dennis
Khan, Sher Afghan
author_facet Quadros, Jaimon Dennis
Khan, Sher Afghan
author_sort Quadros, Jaimon Dennis
title Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
title_short Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
title_full Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
title_fullStr Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
title_full_unstemmed Prediction of base pressure in a suddenly expanded flow the processes at supersonic Mach Number Regimes using ANN and CFD
title_sort prediction of base pressure in a suddenly expanded flow the processes at supersonic mach number regimes using ann and cfd
publisher Journal of Applied Fluid Mechanics
publishDate 2020
url http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/
http://irep.iium.edu.my/73892/1/JAFM-jaimon%26SAKhan.pdf
first_indexed 2023-09-18T21:44:46Z
last_indexed 2023-09-18T21:44:46Z
_version_ 1777413376145620992

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