Trained CNN model to predict performance of an LPM thruster from the 32 x 32 px image of its microchannel cross-section

Trained CNN model to predict performance of an LPM thruster from the 32 x 32 px image of its microchannel cross-section

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Description

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.

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