Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology

Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology

The present work uses design of experiments (DOE) technique along with response surface methodology to develop linear models, to establish linear input-output relationships in a suddenly expanded flow process. Mach number (M), nozzle pressure ratio (NPR), area ratio (AR) and length to diameter (L/D)...

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Main Authors: Quadros, Jaimon Dennis, Khan, Sher Afghan, Antony, A J
Format: Article
Language:English
Published: Institute of Institutional Industrial Research 2017
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/61840/
http://irep.iium.edu.my/61840/
http://irep.iium.edu.my/61840/1/Paper3-IJRRA-04-04-15.pdf
id iium-61840
recordtype eprints
spelling iium-618402018-02-05T07:19:46Z http://irep.iium.edu.my/61840/ Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology Quadros, Jaimon Dennis Khan, Sher Afghan Antony, A J TJ212 Control engineering The present work uses design of experiments (DOE) technique along with response surface methodology to develop linear models, to establish linear input-output relationships in a suddenly expanded flow process. Mach number (M), nozzle pressure ratio (NPR), area ratio (AR) and length to diameter (L/D) ratio have been considered as the input parameters, which controls the output (i.e. base pressure). Full factorial DOE has been implemented for developing the linear model. Experiments were conducted to measure base pressure by two means i.e. without control (WoC) and with the use of active control (WC). The adequacy of developed models was checked through statistical analysis. Fifteen random test cases were conducted in order to validate the models. It is observed that, both linear regression models for base pressure without and with control are statistically adequate and capable of making accurate predictions. Institute of Institutional Industrial Research 2017-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/61840/1/Paper3-IJRRA-04-04-15.pdf Quadros, Jaimon Dennis and Khan, Sher Afghan and Antony, A J (2017) Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology. International Journal of Recent Research Aspects, 4 (4). pp. 53-58. ISSN 2349-7688 https://www.ijrra.net/Vol4issue4/IJRRA-04-04-15.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Quadros, Jaimon Dennis
Khan, Sher Afghan
Antony, A J
Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
description The present work uses design of experiments (DOE) technique along with response surface methodology to develop linear models, to establish linear input-output relationships in a suddenly expanded flow process. Mach number (M), nozzle pressure ratio (NPR), area ratio (AR) and length to diameter (L/D) ratio have been considered as the input parameters, which controls the output (i.e. base pressure). Full factorial DOE has been implemented for developing the linear model. Experiments were conducted to measure base pressure by two means i.e. without control (WoC) and with the use of active control (WC). The adequacy of developed models was checked through statistical analysis. Fifteen random test cases were conducted in order to validate the models. It is observed that, both linear regression models for base pressure without and with control are statistically adequate and capable of making accurate predictions.
format Article
author Quadros, Jaimon Dennis
Khan, Sher Afghan
Antony, A J
author_facet Quadros, Jaimon Dennis
Khan, Sher Afghan
Antony, A J
author_sort Quadros, Jaimon Dennis
title Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
title_short Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
title_full Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
title_fullStr Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
title_full_unstemmed Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology
title_sort predictive modeling of suddenly expanded flow process in the supersonic mach number regime using response surface methodology
publisher Institute of Institutional Industrial Research
publishDate 2017
url http://irep.iium.edu.my/61840/
http://irep.iium.edu.my/61840/
http://irep.iium.edu.my/61840/1/Paper3-IJRRA-04-04-15.pdf
first_indexed 2023-09-18T21:27:43Z
last_indexed 2023-09-18T21:27:43Z
_version_ 1777412303419867136

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