SLEEC: a space station ambulance

Abstract

Restricted accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Nonweiler Terence R. F. 1999SLEEC: a space station ambulancePhil. Trans. R. Soc. A.3572157–2176http://doi.org/10.1098/rsta.1999.0426SectionRestricted accessSLEEC: a space station ambulance Terence R. F. Nonweiler Terence R. F. Nonweiler Victoria University, Wellington, New Zealand and APECS Ltd, 3 Hawkley Hurst, Hawkley, Hants GU33 6NS, UK Google Scholar Find this author on PubMed Search for more papers by this author Terence R. F. Nonweiler Terence R. F. Nonweiler Victoria University, Wellington, New Zealand and APECS Ltd, 3 Hawkley Hurst, Hawkley, Hants GU33 6NS, UK Google Scholar Find this author on PubMed Search for more papers by this author Published:01 August 1999https://doi.org/10.1098/rsta.1999.0426AbstractThe assembly of the International Space Station calls for many hundreds of hours of extra-vehicular activity (EVA), and for maintenance thereafter. Occupation will ultimately involve as many as eight residents at a time. This level of human activity introduces significant risk of injury or illness and the need to return the patient to Earth. This return must avoid delays in orbit and unnecessary physical stress to the patient.SLEEC22 is a novel kind of ‘space ambulance’ based in orbit that is intended to return a patient and attendant back to Earth in a gentle winged descent, restricting the peak g experienced to less than a tenth above normal ground–level values. It nonetheless allows a wider than usual ‘re–entry window’ that would permit a landing at any of an extensive choice of airfields. It makes use of a lightweight waverider wing with only shallow anhedral and ‘sharp’ metallic leading edges. Cooling of the structure, both exterior and interior, is effected by conduction–assisted radiation. Previous ArticleNext Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsCited by Chen S, Wang L, Li W and Zhang K (2019) Deep Learning Method with Attention for Extreme Multi-label Text Classification PRICAI 2019: Trends in Artificial Intelligence, 10.1007/978-3-030-29894-4_14, (179-190), . Townend L (2001) Domain of the Scramjet, Journal of Propulsion and Power, 10.2514/2.5865, 17:6, (1205-1213), Online publication date: 1-Nov-2001. This Issue01 August 1999Volume 357Issue 1759Theme Issue ‘Hypersonic aircraft: lifting re–entry and launch’ compiled by L. H. Townend Article InformationDOI:https://doi.org/10.1098/rsta.1999.0426Published by:Royal SocietyPrint ISSN:1364-503XOnline ISSN:1471-2962History: Published online01/08/1999Published in print01/08/1999 License: Citations and impact Keywordsspace station ambulanceheat protectionwaverider designchoice of descentlow–g re–entrycentreline stand–off angle