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Simulation of ESA’s MSL Furnace Inserts and Sample-Cartridge Assemblies: Model Development and Correlation with Experimental Data
Technical Paper
2005-01-2859
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The development of the MSL Furnace Inserts (FIs) and Sample-Cartridge Assemblies (SCAs) Thermal Modeling Tool (TMT) is presented. The TMT is based on the software package CrysVUn. In this paper, we report details of the validation procedure of the Thermal Mathematical Models (TMM) of the FIs Low Gradient Furnace (LGF) and Solidification and Quenching Furnace (SQF). The TMMs are verified for several stationary and time-dependent processes using different SCAs. The agreement with experimental measurements at 12 thermocouples inside the SCA is in each case better than 2%.
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Citation
Dagner, J., Hainke, M., and Friedrich, J., "Simulation of ESA’s MSL Furnace Inserts and Sample-Cartridge Assemblies: Model Development and Correlation with Experimental Data," SAE Technical Paper 2005-01-2859, 2005, https://doi.org/10.4271/2005-01-2859.Also In
References
- Ratke et al. MICAST-The effect of magnetically controlled fluid flow on microstructure evolution in cast technical al-alloys, 2nd Int Symp. Phys. Sci. Space Toronto in press
- Kurz et al. Development of a new powerful computer code CrysVUN++ especially designed for fast simulation of bulk crystal growth processes J. Cryst. Growth 198/199 101 106 1999
- Hainke Computation of Convection and Alloy Solidification with the Software Package CrysVUn Univ. Erlangen-Nuremberg 2004
- Hainke et al. Numerical study on directional solidification of AlSi alloys with rotating magnetic fields under microgravity conditions J. Mat. Sci 39 2011 2015 2004
- Hainke et al. Simulation of ESA’s MSL furnace inserts and sample-cartridge assemblies using the thermal modeling tool CrysVUn Trans. Tech. Pub.
- Fischer et al. Modeling of industrial bulk crystal growth – state of the art and challenges J. Cryst. Growth
- Friedrich et al. Numerical modeling of crystal growth and solidification experiments carried out under microgravity conditions Crys. Res. Technol 38 7–8 726 733 2003
- Fühner et al. The use of use of genetic algorithms for the development and optimization of crystal growth processes J. Cryst. Growth 266 229 238 2004