Numerical data concerning the performance estimation of a Vaporizing Liquid Microthruster.

Area of Science:

• Aerospace Engineering
• Computational Fluid Dynamics
• Micropropulsion Systems

Background:

• Vaporizing Liquid Microthrusters (VLM) are crucial for micro-spacecraft propulsion.
• Experimental data on internal flow characterization for VLMs is scarce.
• Previous research established a quasi-one-dimensional model for VLM performance estimation.

Purpose of the Study:

• To provide a comprehensive dataset from numerical predictions for Vaporizing Liquid Microthrusters (VLM).
• To serve as a benchmark for validating and comparing different numerical approaches.
• To facilitate further research in VLM performance and flow characterization.

Main Methods:

• Numerical analysis based on a novel quasi-one-dimensional model.
• Comparison of model predictions with 2D and 3D Computational Fluid Dynamics (CFD) computations.
• Generation of a complete dataset from these numerical predictions.

Main Results:

• The study presents extensive numerical data derived from a quasi-one-dimensional model.
• The data allows for direct comparison with existing 2D and 3D CFD results.
• The dataset is suitable for benchmarking and validating VLM simulation methodologies.

Conclusions:

• The provided dataset enhances the understanding of Vaporizing Liquid Microthruster internal flow.
• This data facilitates the validation of various numerical simulation techniques.
• The benchmark data supports the advancement of VLM design and performance prediction.