Metamodeling by kriging method for the disciplines of liquid hydrazine monopropellant propulsion system using Latin hypercube sampling method

When designing complex products such as space thrusters, accurate simulation models are needed to evaluate and improve the design during development. The implementation of these accurate simulation models is often expensive and time-consuming. Surrogate models or metamodels are simplified models of accurate and expensive simulations that can be used to reduce some computational costs during studies or design optimization. The closer the surrogate model is to the real model, the more accurate the solution and the lower the percentage of error. These models with high accuracy are called metamodels. The purpose of this article is to design the metamodel of the liquid single-propellant thruster system using the kriging method, which can predict the behavior of the model to some extent. The purpose of this article is metamodeling of liquid monopropellant propulsion system by kriging method, which can predict the behavior of the model to some extent. Metamodel and distribution diagram of design points related to each of the subjects are extracted. In addition to the mass metamodel of each of the discipline, for the injector, the metamodel related to the mass flow rate of the fuel, for the catalytic bed, Also, four Gaussian, Exponential, Linear and Spherical functions with degree two were compared for each of the meta-models in the kriging method. In this comparison, it was observed that due to the same coefficient of determination, the Gaussian function has less error than other functions and, as a result, better accuracy.