{"id":16434,"date":"2024-04-25T10:11:05","date_gmt":"2024-04-25T10:11:05","guid":{"rendered":"https:\/\/aerospacerepository.org\/?p=16434"},"modified":"2024-04-26T15:02:06","modified_gmt":"2024-04-26T15:02:06","slug":"design-space-exploration-for-a-scramjet-engine-by-using-data-mining-andlow-fidelity-design-techniques","status":"publish","type":"post","link":"https:\/\/aerospacerepository.org\/index.php\/2024\/04\/25\/design-space-exploration-for-a-scramjet-engine-by-using-data-mining-andlow-fidelity-design-techniques\/","title":{"rendered":"Design space exploration for a scramjet engine by using data mining andlow-fidelity design techniques"},"content":{"rendered":"\n<p><strong>Ali Can Ispir, Bora O. Cakir, Bayindir H. Saracoglu <\/strong><\/p>\n\n\n\n<p><strong>DOI Number XXX-YYY-ZZZ<\/strong><\/p>\n\n\n\n<p><strong>Conference Number HiSST-2022-423<\/strong><\/p>\n\n\n\n<p>Scramjet propulsion systems offer seamless operation to the high-speed vehicles along their hypersonic<br>flight phase without carrying on-board oxidizer or any rotating component. To discuss the reliability and<br>feasibility of the entire system and trajectory, it is necessary to perform conceptual design exercises<br>which are based on reduced-order approaches and enable one to investigate effect of multiple parame-<br>ters. In this article, we created a multi-dimensional design space of a scramjet engine with five varying<br>design variables which are flight Mach number and altitude, intake wedge angle and exit Mach number,<br>and fuel-air equivalence ratio. We computed the intake and overall system performance parameters and<br>implemented Artificial neural network regression technique into the dataset to perform comprehensive<br>exploration the design space of the engine under investigation.<\/p>\n\n\n\n<p><a href=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2024\/04\/HiSST-2022-423.pdf\">Read the full paper here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Ali Can Ispir, Bora O. Cakir, Bayindir H. Saracoglu<\/b><\/p>\n<p>DOI Number XXX-YYY-ZZZ<\/p>\n<p>Conference Number HiSST-2022-423<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[993,1006,1013],"tags":[1336,1337,546,614],"class_list":["post-16434","post","type-post","status-publish","format-standard","hentry","category-events","category-hisst-2022","category-propulsion-systems-and-components-hisst-2022","tag-artificial-neural-network","tag-high-speed-air-breathing-propulsion","tag-hypersonics","tag-scramjet","category-993","category-1006","category-1013","description-off"],"_links":{"self":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/comments?post=16434"}],"version-history":[{"count":2,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16434\/revisions"}],"predecessor-version":[{"id":16500,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16434\/revisions\/16500"}],"wp:attachment":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/media?parent=16434"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/categories?post=16434"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/tags?post=16434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}