{"id":16252,"date":"2024-04-12T13:22:09","date_gmt":"2024-04-12T13:22:09","guid":{"rendered":"https:\/\/aerospacerepository.org\/?p=16252"},"modified":"2024-04-12T13:22:10","modified_gmt":"2024-04-12T13:22:10","slug":"disturbance-evolution-in-roughness-induced-vortices-under-re-entry-conditions","status":"publish","type":"post","link":"https:\/\/aerospacerepository.org\/index.php\/2024\/04\/12\/disturbance-evolution-in-roughness-induced-vortices-under-re-entry-conditions\/","title":{"rendered":"Disturbance Evolution in Roughness-induced Vortices under Re-entry Conditions"},"content":{"rendered":"\n<p><strong>Friedrich Ulrich, Christian Stemmer<\/strong><\/p>\n\n\n\n<p><strong>DOI Number XXX-YYY-ZZZ<\/strong><\/p>\n\n\n\n<p><strong>Conference Number HiSST-2022-379<\/strong><\/p>\n\n\n\n<p>This study investigates a re-entry scenario of an Apollo-like space capsule with Direct Numerical Simulations (DNS). The simulation includes the chemical equilibrium gas model. Cross-flow-like vortices are<br>induced through random distributed roughness patches on the capsule surface. Two different machinelearning methods are used to predict the maximum vorticity magnitude downstream of a random roughness patch. A large DNS database is formed for training and testing of the neural networks. In order to<br>understand the influence of the vorticity magnitude on the transition process, local one-dimensional inviscid (LODI) relations are used to describe perturbations at the inflow. The disturbance evolution in the<br>streamwise direction is analysed with a two dimensional Fourier transformation in time and space. The<br>vorticity magnitudes of the cross-flow-like vortices and the wall-normal vortex-core positions influence<br>the transition location.<\/p>\n\n\n\n<p><a href=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2023\/10\/HiSST-2022-379.pdf\" data-type=\"link\" data-id=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2023\/10\/HiSST-2022-379.pdf\">Read the full paper > <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Friedrich Ulrich, Christian Stemmer<\/b><\/p>\n<p>DOI Number XXX-YYY-ZZZ<\/p>\n<p>Conference Number HiSST-2022-379<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[993,1008,1006],"tags":[590,459,597,1224,596],"class_list":["post-16252","post","type-post","status-publish","format-standard","hentry","category-events","category-high-speed-aerodynamics-and-aerothermodynamics-hisst-2022","category-hisst-2022","tag-hypersonic-boundary-layer","tag-hypersonic-flow","tag-laminar-turbulent-transition","tag-machine-learning","tag-roughness","category-993","category-1008","category-1006","description-off"],"_links":{"self":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16252","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\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/comments?post=16252"}],"version-history":[{"count":1,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16252\/revisions"}],"predecessor-version":[{"id":16253,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16252\/revisions\/16253"}],"wp:attachment":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/media?parent=16252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/categories?post=16252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/tags?post=16252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}