Modeling contamination at molecular level from elementary tests processing to flight contamination assessment
| Autor: | Emilie Vanhove, Delphine Faye, Guillaume Rioland, Vincent Mouysset, Jean-François Roussel, Eudes Grosjean |
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| Přispěvatelé: | ONERA / DPHY, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, ONERA / DTIS, Université de Toulouse [Toulouse], Centre National d'Études Spatiales [Toulouse] (CNES) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
[PHYS]Physics [physics]
020301 aerospace & aeronautics DESORPTION Physical model THERMOGRAVIMETRIC ANALYSIS Computation 02 engineering and technology CHEMICAL SPECIES Contamination Mass spectrometry 01 natural sciences 010305 fluids & plasmas Characterization (materials science) Computational physics CONTAMINATION Outgassing Chemical species [SPI]Engineering Sciences [physics] 0203 mechanical engineering SPACECRAFT 0103 physical sciences Mass spectrum Environmental science OUTGASSING |
| Zdroj: | Systems Contamination: Prediction, Control, and Performance 2020 Systems Contamination: Prediction, Control, and Performance 2020, Aug 2020, Online Only, United States. pp.16, ⟨10.1117/12.2569120⟩ |
| Popis: | International audience; The numerical assessment of in-flight contamination is a global process, which needs consistent numerical processing of elementary ground tests and global modeling of in-orbit situations. If the traditional physical approach of Europe is followed, both sides must make use of consistent physical models, and upgrade them consistently. This article presents recent progress performed at ONERA, in collaboration with CNES, in this respect. For this physical approach, elementary material outgassing tests aim at characterizing each chemical species independently, based on TGA / MS coupling for in situ characterization. Processing large data sets of mass peaks versus time, and interpreting them as resulting from a few outgassed chemical species, each one with its own mass spectrum, requires heavy computations and smart algorithms. The first results shown here are very promising. QCM and mass spec data acquired during TGAs where fitted with very convincing models for deposit reemission and mass spectra for the reemitted species that were identified with database spectra. This makes us confident in the next step consisting in similarly interpreting outgassing QCM + MS measurements in term of discriminated species, although they are all outgassed simultaneously in that case. |
| Databáze: | OpenAIRE |
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