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Description
The Liquid engine testing is carried out in three phases. The development testing, the acceptance tests and the qualification testing. Considering the lineage of the testing of certain Liquid Engines in India, it is proposed to use AI/ML tools of MATLAB to predict the test Engine parameters using Regression models.
The Test Article (The Human Rated Liquid Engine) measurement system comprises of Process Measurements namely Pressure, Temperature, Strain, Speed, and Vibration. Erstwhile Test Article measurement system used individual Signal Conditioning Amplifiers, Excitation Power supplies, and an Integrated Data Acquisition system acquires the test data at 2000 Samples per second was inducted to replace the old PXI based data acquisition systems. The induction of the IDAS was pivotal in ensuring accurate and precise measurements required in the Human Rated Liquid Engine ground testing.
The major parameters of the Test article are used for evaluating the various regression models and a few are selected for the predictive analysis. This paper elucidates on various models used to predict the Turbine Gas temperature in correlation with the Chamber Pressure of a High Thrust Liquid Propulsion Engine.
The future scope of the paper is creating tested models for various Injectors of the High Thrust Liquid Propulsion Engine so that cost cutting can be ensured by doing away with the qualification hot tests for Injector acceptance.