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
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
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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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.ResearchData
organizations
TU Delft, Faculty of Aerospace Engineering
Sparc Industries SARL, Luxemburg

DATA

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