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Numerical thermal analysis of SEAM
KTH, School of Electrical Engineering (EES), Space and Plasma Physics.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis is on the topic of numerical thermal analysis, specically of the SmallExplorer for Advanced Missions SEAM. SEAM is a 3 unit Cubesat, which isgoing to be launched in a sun-synchronous orbit to measure the magnetic sphere.It makes use of a boom deployment system to remove the sensors from themagnetic eld inuences of the body. The goal of this thesis is to study thethermal behaviour of the satellite, specically the internal components and thethermal deformation of the boom structure. The numerical simulations makeuse of the Monte Carlo Ray-tracing method. Furthermore thermal vacuumcycle tests have been compared to the thermal model as a form of validation.Additionally the thesis also serves as a nal thermal analysis of the satellite, tocheck if all components operate within their specied thermal operating range.

Abstract [sv]

Detta examensarbete handlar om numerisk termisk analys av SEAM (SmallExplorer for Advanced Missions) satellit. SEAM är en 3U CubeSat, som skaskickas upp i solsynkron bana kring jorden för att utföra magnetfältmätningar.Satelliten använder sig av en utfällbar bom för att separera magnetsensorer frånmagnetiska störningar från satellitens elektronik. Examensarbetet syftar tillatt studera termiska beteende av satelliten, specifikt temperaturområden i bananför interna komponenter samt termisk deformation av den utfällbara bomstrukturen.Numeriska simuleringar av strålningsöverföring av värme använderMonte-Carlo metod för att följa strålar. Experimentella resultat från termiskvakuum testning av satelliten har jämförts med termiska modellen för att valideraden. Examensarbetet utgör den slutliga termiska analysen av satelliten, föratt säkerställa att alla komponenter används inom deras specificerade temperaturområde.

Place, publisher, year, edition, pages
2017. , p. 50
Series
TRITA-EE, ISSN 1653-5146 ; 2017:166
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-218037OAI: oai:DiVA.org:kth-218037DiVA, id: diva2:1158915
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-21Bibliographically approved

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CiteExportLink to record
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Citation style
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