Trained CNN model to predict performance of an LPM thruster from the 32 x 32 px image of its microchannel cross-section
DOI:10.4121/14740353.v1
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DOI: 10.4121/14740353
DOI: 10.4121/14740353
Datacite citation style:
Chandra, Anant (2021): Trained CNN model to predict performance of an LPM thruster from the 32 x 32 px image of its microchannel cross-section. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/14740353.v1
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Software
Contains the trained CNN model that can predict performance parameters of an LPM thuster given the cross-sectional image (32 x 32 px) of the microchannel for the given conditions: Argon propellant, inlet pressure = 50 Pa, inlet temperature = 300 K, and heaterchip temperature = 600 K.
History
- 2021-06-08 first online, published, posted
Publisher
4TU.ResearchDataOrganizations
TU Delft, Faculty of Aerospace EngineeringSparc Industries SARL, Luxemburg
DATA
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README.txt - 670,537,313 bytesMD5:
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Trained_CNN.zip -
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