FluidFlowCharacteristics
- class FluidFlowCharacteristics
Bases:
BaseModelRepresents the flow characteristics of a working fluid in the system.
- fluid_type
Type of fluid (e.g., “Hydraulic Oil”, “Fuel”, “Coolant”).
- Type:
str
- flow_rate
Nominal flow rate in liters per minute.
- Type:
float
- max_pressure
Maximum operating pressure in pascals.
- Type:
float
- min_pressure
Minimum operating pressure in pascals.
- Type:
float
- temperature_range
Operating temperature range in Celsius (min, max).
- Type:
Tuple[float, float]
- viscosity
Kinematic viscosity in centistokes at operating temperature.
- Type:
float
- density
Fluid density in kg/m³ at operating temperature.
- Type:
float
Attributes Summary
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Methods Summary
Validate that the minimum temperature is less than the maximum temperature.
Attributes Documentation
- model_config: ClassVar[ConfigDict] = {}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Methods Documentation
- classmethod validate_temperature_range(v)
Validate that the minimum temperature is less than the maximum temperature.
- Parameters:
v (Tuple[float, float])
- Return type:
Tuple[float, float]
Methods:
Validate that the minimum temperature is less than the maximum temperature.
Attributes:
__setattr__ handlers.
- classmethod validate_temperature_range(v)
Validate that the minimum temperature is less than the maximum temperature.
- Parameters:
v (Tuple[float, float])
- Return type:
Tuple[float, float]
- __pydantic_setattr_handlers__: ClassVar[Dict[str, Callable[[BaseModel, str, Any], None]]] = {}
__setattr__ handlers. Memoizing the handlers leads to a dramatic performance improvement in __setattr__