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)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Institute of Institutional Industrial Research
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/61840/ http://irep.iium.edu.my/61840/1/Paper3-IJRRA-04-04-15.pdf |
| _version_ | 1848785746132992000 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:58:02Z |
| format | Article |
| id | iium-61840 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:58:02Z |
| publishDate | 2017 |
| publisher | Institute of Institutional Industrial Research |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | TJ212 Control engineering |
| 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 |