Source code for RCAIDE.Library.Methods.Powertrain.Converters.Ram.append_ram_conditions
# RCAIDE/Library/Methods/Powertrain/Converters/Ram/append_ram_conditions.py
#
# Created: Jun 2024, M. Clarke
from RCAIDE.Framework.Mission.Common import Conditions
# ----------------------------------------------------------------------------------------------------------------------
# append_ram_conditions
# ----------------------------------------------------------------------------------------------------------------------
[docs]
def append_ram_conditions(ram, segment, energy_conditions):
"""
Initializes ram air converter operating conditions for a mission segment.
Parameters
----------
ram : RCAIDE.Library.Components.Converters.Ram
Ram air converter component with the following attributes:
- tag : str
Identifier for the ram air converter
segment : RCAIDE.Framework.Mission.Segments.Segment
Mission segment with the following attributes:
- state : Data
Segment state
- ones_row : function
Function to create array of ones with specified length
energy_conditions : RCAIDE.Framework.Mission.Common.Conditions
Energy conditions container where ram air converter conditions will be stored
Returns
-------
None
Notes
-----
This function initializes the necessary data structures for storing ram air converter
operating conditions during a mission segment. It creates empty containers for
input and output conditions that will be populated during the mission analysis.
The function initializes the following in energy_conditions.converters[ram.tag]:
- inputs : Conditions
Input conditions container (empty)
- outputs : Conditions
Output conditions container (empty)
The ram air converter is a component that captures the energy of the incoming airflow
and converts it to a form usable by the propulsion system. It typically represents
the inlet of a gas turbine engine or other air-breathing propulsion system.
See Also
--------
RCAIDE.Library.Methods.Powertrain.Converters.Ram.compute_ram_performance
"""
energy_conditions.converters[ram.tag] = Conditions()
energy_conditions.converters[ram.tag].inputs = Conditions()
energy_conditions.converters[ram.tag].outputs = Conditions()
return