TurboFlow: Meanline Modelling of Axial Turbines
Overview
TurboFlow is a Python package for mean-line modelling of axial turbines. It aims to offer flexible and reliable simulations for both performance prediction and design optimization, and should present a valuable resource for engineers and researchers working in the field of turbomachinery.
Features
Performance Prediction: Accurately predict the performance of axial turbines based on various input parameters.
Design Optimization: Optimize preliminary axial turbine design to achieve optimal performance metrics.
Equation-oriented problem formulation: Equation-oriented problem formulation for performance analysis and design optimization.
Model consitency: The model is consistent for both performance prediction and design optimization.
Efficient solution: The model adopts gradient-based root-finding and optimization solver.
Real gas fluid property analysis: CoolProp is used to determine thermohpysical properties.
Flexible model: The model offers options for submodels for loss, deviation and choking calculations.
General geometry: Geometrical variables are defined to cover a wide range of designs, including multistage configurations.
Easy-to-use: Intuitive and easy setup of input parameters for rapid development and analysis.
Extensive Documentation: Comprehensive guides and examples to help you get started quickly.