Cover Image

Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows

Experimental analysis of base pressure in suddenly expanded compressible flow from nozzles at different Mach numbers are performed. Intensive experimentation is carried out to investigate the base pressure and wall pressure of flow expanding from the nozzles into the enlarged duct. Microjets to act...

Full description

Saved in:
Bibliographic Details
Main Authors: Afzal, Asif, Aabid, Abdul, Khan, Ambareen, Khan, Sher Afghan, Rajak, Upendra, Verma, Tikendra Nath, Kumar, Rahul
Format: Article
Language:English
Published: Elsevier 2020
Subjects:
TL780 Rockets
Online Access:http://irep.iium.edu.my/84531/7/84531%20Response%20surface%20analysis%2C%20clustering%2C%20and%20random%20forest.pdf
http://irep.iium.edu.my/84531/
https://www.sciencedirect.com/journal/aerospace-science-and-technology
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.84531
record_format dspace
spelling my.iium.irep.845312020-11-12T03:33:36Z http://irep.iium.edu.my/84531/ Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows Afzal, Asif Aabid, Abdul Khan, Ambareen Khan, Sher Afghan Rajak, Upendra Verma, Tikendra Nath Kumar, Rahul TL780 Rockets Experimental analysis of base pressure in suddenly expanded compressible flow from nozzles at different Mach numbers are performed. Intensive experimentation is carried out to investigate the base pressure and wall pressure of flow expanding from the nozzles into the enlarged duct. Microjets to actively control the flow are adopted to increase the base pressure. Experiments were conducted for Mach numbers (one sonic and rest supersonic) from 1 to 3, nozzle pressure ratio (NPR) from 3 to 11. The duct length considered from 10 to 1, and the area ratios tested were from 2.56 to 6.25 are the variables whose effect on base and wall pressure is studied using response surface methodology. The K-means algorithm performs a clustering analysis of this enormous data, which provides useful information and patterns. Regression of both the pressures using a random forest classification algorithm is carried out. The response surface analysis reveals that microjets are efficient when the flow is under the influence of a favorable pressure gradient. The base pressure reduces from maximum to minimum when the flow regime changes from over to correct expansion by increasing the NPR. Lower area ratio and higher duct length have a minimum effect on base pressure. The wall pressure flow field is unaffected due to the presence of the microjets. K-means clustering revealed that a high percentage of base pressure is in the lower range. This necessitates the importance of increasing the base pressure to reduce the base drag. Random forest algorithm has proved to be a handy tool for predicting base pressure and wall pressure and similar highly non-linear data. Elsevier 2020-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/84531/7/84531%20Response%20surface%20analysis%2C%20clustering%2C%20and%20random%20forest.pdf Afzal, Asif and Aabid, Abdul and Khan, Ambareen and Khan, Sher Afghan and Rajak, Upendra and Verma, Tikendra Nath and Kumar, Rahul (2020) Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows. Aerospace Science and Technology, 107. pp. 1-30. ISSN 1270-9638 https://www.sciencedirect.com/journal/aerospace-science-and-technology 10.1016/j.ast.2020.106318
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TL780 Rockets
spellingShingle TL780 Rockets
Afzal, Asif
Aabid, Abdul
Khan, Ambareen
Khan, Sher Afghan
Rajak, Upendra
Verma, Tikendra Nath
Kumar, Rahul
Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
description Experimental analysis of base pressure in suddenly expanded compressible flow from nozzles at different Mach numbers are performed. Intensive experimentation is carried out to investigate the base pressure and wall pressure of flow expanding from the nozzles into the enlarged duct. Microjets to actively control the flow are adopted to increase the base pressure. Experiments were conducted for Mach numbers (one sonic and rest supersonic) from 1 to 3, nozzle pressure ratio (NPR) from 3 to 11. The duct length considered from 10 to 1, and the area ratios tested were from 2.56 to 6.25 are the variables whose effect on base and wall pressure is studied using response surface methodology. The K-means algorithm performs a clustering analysis of this enormous data, which provides useful information and patterns. Regression of both the pressures using a random forest classification algorithm is carried out. The response surface analysis reveals that microjets are efficient when the flow is under the influence of a favorable pressure gradient. The base pressure reduces from maximum to minimum when the flow regime changes from over to correct expansion by increasing the NPR. Lower area ratio and higher duct length have a minimum effect on base pressure. The wall pressure flow field is unaffected due to the presence of the microjets. K-means clustering revealed that a high percentage of base pressure is in the lower range. This necessitates the importance of increasing the base pressure to reduce the base drag. Random forest algorithm has proved to be a handy tool for predicting base pressure and wall pressure and similar highly non-linear data.
format Article
author Afzal, Asif
Aabid, Abdul
Khan, Ambareen
Khan, Sher Afghan
Rajak, Upendra
Verma, Tikendra Nath
Kumar, Rahul
author_facet Afzal, Asif
Aabid, Abdul
Khan, Ambareen
Khan, Sher Afghan
Rajak, Upendra
Verma, Tikendra Nath
Kumar, Rahul
author_sort Afzal, Asif
title Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
title_short Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
title_full Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
title_fullStr Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
title_full_unstemmed Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
title_sort response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
publisher Elsevier
publishDate 2020
url http://irep.iium.edu.my/84531/7/84531%20Response%20surface%20analysis%2C%20clustering%2C%20and%20random%20forest.pdf
http://irep.iium.edu.my/84531/
https://www.sciencedirect.com/journal/aerospace-science-and-technology
_version_ 1683230387769180160
score 13.211869

Similar Items