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SystemSimulationApp/PythonModels/components/amesim_pneumatic_line.py
T

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27 KiB
Python

from __future__ import annotations
from dataclasses import dataclass
from math import log10, pi
from PythonModels.components.amesim_pneumatic import (
HELIUM_PNEUMATIC_GAS,
AmesimPneumaticGas,
diameter_mm_to_area_m2,
)
from PythonModels.core.base import AlgebraicComponent, DynamicComponent
from PythonModels.core.medium import ThermodynamicProperties
from PythonModels.core.ports import PortState
from PythonModels.core.state import VolumeState
@dataclass(frozen=True)
class AmesimPnl0001Diagnostics:
mass_flow_kg_s: float
reynolds_number: float
gas_velocity_m_s: float
friction_factor: float
pressure_drop_pa: float
class _DarcyPipeResistanceMixin:
diameter: float
length: float
relative_roughness: float
area: float
def _mass_flow_for_pressure_drop(
self,
pressure_drop_pa: float,
*,
density: float,
temperature: float,
) -> float:
if pressure_drop_pa <= 0.0:
return 0.0
upper = 1.0e-9
while self._darcy_pressure_drop(
upper,
density=density,
temperature=temperature,
) < pressure_drop_pa:
upper *= 10.0
if upper > 1.0e3:
raise ValueError("unable to bracket pneumatic pipe resistance flow")
lower = 0.0
for _ in range(48):
middle = 0.5 * (lower + upper)
if self._darcy_pressure_drop(
middle,
density=density,
temperature=temperature,
) < pressure_drop_pa:
lower = middle
else:
upper = middle
return 0.5 * (lower + upper)
def _darcy_pressure_drop(
self,
mass_flow_kg_s: float,
*,
density: float,
temperature: float,
) -> float:
if mass_flow_kg_s == 0.0:
return 0.0
reynolds = self._reynolds_number(mass_flow_kg_s, temperature)
friction_factor = self._friction_factor(reynolds)
velocity = mass_flow_kg_s / (density * self.area)
magnitude = (
friction_factor
* (self.length / self.diameter)
* density
* velocity
* velocity
/ 2.0
)
return magnitude if mass_flow_kg_s > 0.0 else -magnitude
def _reynolds_number(self, mass_flow_kg_s: float, temperature: float) -> float:
viscosity = helium_dynamic_viscosity(temperature)
return 4.0 * abs(mass_flow_kg_s) / (pi * self.diameter * viscosity)
def _friction_factor(self, reynolds_number: float) -> float:
if reynolds_number <= 0.0:
return 64_000_000.0
laminar = 64.0 / reynolds_number
if reynolds_number <= 2_300.0:
return laminar
turbulent = 1.0 / (
-1.8
* log10(
(self.relative_roughness / 3.7) ** 1.11
+ 6.9 / reynolds_number
)
) ** 2
if reynolds_number >= 4_000.0:
return turbulent
fraction = (reynolds_number - 2_300.0) / 1_700.0
return laminar + fraction * (turbulent - laminar)
class AmesimPnl0001Pipe(_DarcyPipeResistanceMixin, DynamicComponent):
"""Physical first-pass implementation of AMESim ``PNL0001`` (C-R).
Port 2 owns the lumped gas storage. Port 1 is connected through a Darcy
resistance. Both connection mass flows use the PythonModels convention:
positive values enter the pipe storage.
AMESim's proprietary pressure-loss calibration is not available in the
archive. This implementation therefore uses an explicit Darcy-Weisbach
law while preserving the real geometry, state count, mass/energy balance,
heat-transfer parameter, and observable diagnostics.
"""
def __init__(
self,
name: str,
*,
diameter_mm: float,
length_m: float,
relative_roughness: float,
polytropic_constant: float = 1.35,
heat_transfer_coefficient: float = 0.0,
external_temperature_k: float = 293.15,
gas: AmesimPneumaticGas = HELIUM_PNEUMATIC_GAS,
p0: float = 101_325.0,
T0: float = 293.15,
) -> None:
if diameter_mm <= 0.0:
raise ValueError("diameter_mm must be positive")
if length_m <= 0.0:
raise ValueError("length_m must be positive")
if relative_roughness < 0.0:
raise ValueError("relative_roughness must be non-negative")
if polytropic_constant <= 0.0:
raise ValueError("polytropic_constant must be positive")
if heat_transfer_coefficient < 0.0:
raise ValueError("heat_transfer_coefficient must be non-negative")
if external_temperature_k <= 0.0:
raise ValueError("external_temperature_k must be positive")
super().__init__(name=name)
self.diameter = diameter_mm * 1.0e-3
self.length = length_m
self.relative_roughness = relative_roughness
self.polytropic_constant = polytropic_constant
self.heat_transfer_coefficient = heat_transfer_coefficient
self.external_temperature = external_temperature_k
self.gas = gas
self.area = diameter_mm_to_area_m2(diameter_mm)
self.volume = self.area * self.length
self.heat_transfer_area = pi * self.diameter * self.length
rho0 = gas.density(p0, T0)
mass0 = rho0 * self.volume
self.state = VolumeState(
m=mass0,
U=mass0 * gas.specific_internal_energy(T0),
)
self.port_1 = PortState()
self.port_2 = PortState()
def get_state_vector(self) -> list[float]:
return self.state.as_vector()
def set_state_vector(self, values: list[float]) -> None:
self.state = VolumeState.from_vector(values)
def properties(self) -> ThermodynamicProperties:
if self.state.m <= 0.0:
raise ValueError("pipe mass must stay positive")
temperature = self.gas.temperature_from_internal_energy(
self.state.U / self.state.m
)
density = self.state.m / self.volume
pressure = self.gas.pressure(density, temperature)
properties = ThermodynamicProperties(
p=pressure,
T=temperature,
rho=density,
u=self.state.U / self.state.m,
h=self.gas.specific_enthalpy(temperature),
)
self.port_2.p = pressure
self.port_2.h_outflow = properties.h
return properties
def gas_mass_g(self) -> float:
return self.state.m * 1.0e3
def resistance_mass_flow(
self,
*,
port_1_pressure_pa: float,
port_1_temperature_k: float,
) -> float:
"""Return mass flow from port 1 into the port-2 storage in kg/s."""
if port_1_pressure_pa <= 0.0:
raise ValueError("port_1_pressure_pa must be positive")
if port_1_temperature_k <= 0.0:
raise ValueError("port_1_temperature_k must be positive")
internal = self.properties()
pressure_difference = port_1_pressure_pa - internal.p
if pressure_difference == 0.0:
return 0.0
upstream_pressure = max(port_1_pressure_pa, internal.p)
upstream_temperature = (
port_1_temperature_k if pressure_difference > 0.0 else internal.T
)
density = self.gas.density(upstream_pressure, upstream_temperature)
magnitude = self._mass_flow_for_pressure_drop(
abs(pressure_difference),
density=density,
temperature=upstream_temperature,
)
return magnitude if pressure_difference > 0.0 else -magnitude
def diagnostics(
self,
*,
mass_flow_kg_s: float,
temperature_k: float | None = None,
) -> AmesimPnl0001Diagnostics:
properties = self.properties()
temperature = temperature_k or properties.T
reynolds = self._reynolds_number(mass_flow_kg_s, temperature)
friction_factor = self._friction_factor(reynolds)
velocity = mass_flow_kg_s / (properties.rho * self.area)
pressure_drop = self._darcy_pressure_drop(
mass_flow_kg_s,
density=properties.rho,
temperature=temperature,
)
return AmesimPnl0001Diagnostics(
mass_flow_kg_s=mass_flow_kg_s,
reynolds_number=reynolds,
gas_velocity_m_s=velocity,
friction_factor=friction_factor,
pressure_drop_pa=pressure_drop,
)
def derivatives_from_connections(
self,
*,
port_1_m_flow: float,
connected_h_1: float,
port_2_m_flow: float,
connected_h_2: float,
) -> VolumeState:
internal = self.properties()
# PNL0001 is a fixed-volume distributed line store. Its transported
# energy variable therefore follows specific internal energy, not the
# chamber-style stagnation enthalpy contract. For this ideal gas,
# h = gamma * u. Outflow always carries the local u.
inlet_u_1 = (
connected_h_1 / self.gas.gamma
if port_1_m_flow > 0.0
else internal.u
)
inlet_u_2 = (
connected_h_2 / self.gas.gamma
if port_2_m_flow > 0.0
else internal.u
)
heat_flow = (
self.heat_transfer_coefficient
* self.heat_transfer_area
* (self.external_temperature - internal.T)
)
return VolumeState(
m=port_1_m_flow + port_2_m_flow,
U=port_1_m_flow * inlet_u_1 + port_2_m_flow * inlet_u_2 + heat_flow,
)
class AmesimPnl0003Pipe(_DarcyPipeResistanceMixin, DynamicComponent):
"""First-pass AMESim ``PNL0003`` (C-R-C) pipe.
The two pipe-end compliances are represented as equal half-volume gas
stores connected by the same auditable Darcy resistance used for PNL0001.
Center flow is positive from port 1 storage to port 2 storage.
"""
state_size = 4
def __init__(
self,
name: str,
*,
diameter_mm: float,
length_m: float,
relative_roughness: float,
polytropic_constant: float = 1.35,
heat_transfer_coefficient: float = 0.0,
external_temperature_k: float = 293.15,
gas: AmesimPneumaticGas = HELIUM_PNEUMATIC_GAS,
p1_0: float = 101_325.0,
T1_0: float = 293.15,
p2_0: float = 101_325.0,
T2_0: float = 293.15,
) -> None:
if diameter_mm <= 0.0:
raise ValueError("diameter_mm must be positive")
if length_m <= 0.0:
raise ValueError("length_m must be positive")
if relative_roughness < 0.0:
raise ValueError("relative_roughness must be non-negative")
if polytropic_constant <= 0.0:
raise ValueError("polytropic_constant must be positive")
if heat_transfer_coefficient < 0.0:
raise ValueError("heat_transfer_coefficient must be non-negative")
if external_temperature_k <= 0.0:
raise ValueError("external_temperature_k must be positive")
super().__init__(name=name)
self.diameter = diameter_mm * 1.0e-3
self.length = length_m
self.relative_roughness = relative_roughness
self.polytropic_constant = polytropic_constant
self.heat_transfer_coefficient = heat_transfer_coefficient
self.external_temperature = external_temperature_k
self.gas = gas
self.area = diameter_mm_to_area_m2(diameter_mm)
self.volume = self.area * self.length
self.compliance_volume = self.volume / 2.0
self.heat_transfer_area = pi * self.diameter * self.length
self.state_1 = self._initial_state(p1_0, T1_0)
self.state_2 = self._initial_state(p2_0, T2_0)
self.port_1 = PortState()
self.port_2 = PortState()
def _initial_state(self, pressure: float, temperature: float) -> VolumeState:
rho = self.gas.density(pressure, temperature)
mass = rho * self.compliance_volume
return VolumeState(
m=mass,
U=mass * self.gas.specific_internal_energy(temperature),
)
def get_state_vector(self) -> list[float]:
return [*self.state_1.as_vector(), *self.state_2.as_vector()]
def set_state_vector(self, values: list[float]) -> None:
if len(values) != 4:
raise ValueError("PNL0003 state vector requires four values")
self.state_1 = VolumeState.from_vector(values[:2])
self.state_2 = VolumeState.from_vector(values[2:])
def properties_1(self) -> ThermodynamicProperties:
properties = self._properties(self.state_1)
self.port_1.p = properties.p
self.port_1.h_outflow = properties.h
return properties
def properties_2(self) -> ThermodynamicProperties:
properties = self._properties(self.state_2)
self.port_2.p = properties.p
self.port_2.h_outflow = properties.h
return properties
def _properties(self, state: VolumeState) -> ThermodynamicProperties:
if state.m <= 0.0:
raise ValueError("pipe mass must stay positive")
temperature = self.gas.temperature_from_internal_energy(state.U / state.m)
density = state.m / self.compliance_volume
pressure = self.gas.pressure(density, temperature)
return ThermodynamicProperties(
p=pressure,
T=temperature,
rho=density,
u=state.U / state.m,
h=self.gas.specific_enthalpy(temperature),
)
def gas_mass_g(self) -> float:
return (self.state_1.m + self.state_2.m) * 1.0e3
def resistance_mass_flow(self) -> float:
"""Return center mass flow from port 1 storage to port 2 storage."""
port_1 = self.properties_1()
port_2 = self.properties_2()
pressure_difference = port_1.p - port_2.p
if pressure_difference == 0.0:
return 0.0
upstream = port_1 if pressure_difference > 0.0 else port_2
magnitude = self._mass_flow_for_pressure_drop(
abs(pressure_difference),
density=upstream.rho,
temperature=upstream.T,
)
return magnitude if pressure_difference > 0.0 else -magnitude
def diagnostics(
self,
*,
mass_flow_kg_s: float,
temperature_k: float | None = None,
) -> AmesimPnl0001Diagnostics:
port_1 = self.properties_1()
port_2 = self.properties_2()
temperature = temperature_k or (port_1.T if mass_flow_kg_s >= 0.0 else port_2.T)
density = port_1.rho if mass_flow_kg_s >= 0.0 else port_2.rho
reynolds = self._reynolds_number(mass_flow_kg_s, temperature)
friction_factor = self._friction_factor(reynolds)
velocity = mass_flow_kg_s / (density * self.area)
pressure_drop = self._darcy_pressure_drop(
mass_flow_kg_s,
density=density,
temperature=temperature,
)
return AmesimPnl0001Diagnostics(
mass_flow_kg_s=mass_flow_kg_s,
reynolds_number=reynolds,
gas_velocity_m_s=velocity,
friction_factor=friction_factor,
pressure_drop_pa=pressure_drop,
)
def derivatives_from_connections(
self,
*,
port_1_m_flow: float,
connected_h_1: float,
port_2_m_flow: float,
connected_h_2: float,
) -> tuple[VolumeState, VolumeState]:
port_1 = self.properties_1()
port_2 = self.properties_2()
center_flow = self.resistance_mass_flow()
heat_flow_each = (
self.heat_transfer_coefficient
* self.heat_transfer_area
* (self.external_temperature - 0.5 * (port_1.T + port_2.T))
/ 2.0
)
port_1_external_h = self.connection_inlet_enthalpy(
port_m_flow=port_1_m_flow,
connected_h=connected_h_1,
internal_h=port_1.h,
)
port_2_external_h = self.connection_inlet_enthalpy(
port_m_flow=port_2_m_flow,
connected_h=connected_h_2,
internal_h=port_2.h,
)
port_1_center_h = self.connection_inlet_enthalpy(
port_m_flow=-center_flow,
connected_h=port_2.h,
internal_h=port_1.h,
)
port_2_center_h = self.connection_inlet_enthalpy(
port_m_flow=center_flow,
connected_h=port_1.h,
internal_h=port_2.h,
)
return (
VolumeState(
m=port_1_m_flow - center_flow,
U=(
port_1_m_flow * port_1_external_h
- center_flow * port_1_center_h
+ heat_flow_each
),
),
VolumeState(
m=port_2_m_flow + center_flow,
U=(
port_2_m_flow * port_2_external_h
+ center_flow * port_2_center_h
+ heat_flow_each
),
),
)
class AmesimPnl0002Pipe(_DarcyPipeResistanceMixin, DynamicComponent):
"""First-pass AMESim ``PNL0002`` (R-C-R) pipe.
The center compliance owns the gas state. Positive connection mass flows
enter that center storage from each external port.
"""
state_size = 2
def __init__(
self,
name: str,
*,
diameter_mm: float,
length_m: float,
relative_roughness: float,
polytropic_constant: float = 1.35,
heat_transfer_coefficient: float = 0.0,
external_temperature_k: float = 293.15,
gas: AmesimPneumaticGas = HELIUM_PNEUMATIC_GAS,
pctr_0: float = 101_325.0,
Tctr_0: float = 293.15,
) -> None:
if diameter_mm <= 0.0:
raise ValueError("diameter_mm must be positive")
if length_m <= 0.0:
raise ValueError("length_m must be positive")
if relative_roughness < 0.0:
raise ValueError("relative_roughness must be non-negative")
if polytropic_constant <= 0.0:
raise ValueError("polytropic_constant must be positive")
if heat_transfer_coefficient < 0.0:
raise ValueError("heat_transfer_coefficient must be non-negative")
if external_temperature_k <= 0.0:
raise ValueError("external_temperature_k must be positive")
super().__init__(name=name)
self.diameter = diameter_mm * 1.0e-3
self.length = length_m
self.relative_roughness = relative_roughness
self.polytropic_constant = polytropic_constant
self.heat_transfer_coefficient = heat_transfer_coefficient
self.external_temperature = external_temperature_k
self.gas = gas
self.area = diameter_mm_to_area_m2(diameter_mm)
self.volume = self.area * self.length
self.heat_transfer_area = pi * self.diameter * self.length
self._resistance_length = self.length / 2.0
rho0 = gas.density(pctr_0, Tctr_0)
mass0 = rho0 * self.volume
self.state = VolumeState(
m=mass0,
U=mass0 * gas.specific_internal_energy(Tctr_0),
)
self.port_1 = PortState()
self.port_2 = PortState()
def get_state_vector(self) -> list[float]:
return self.state.as_vector()
def set_state_vector(self, values: list[float]) -> None:
self.state = VolumeState.from_vector(values)
def properties(self) -> ThermodynamicProperties:
if self.state.m <= 0.0:
raise ValueError("pipe mass must stay positive")
temperature = self.gas.temperature_from_internal_energy(
self.state.U / self.state.m
)
density = self.state.m / self.volume
pressure = self.gas.pressure(density, temperature)
properties = ThermodynamicProperties(
p=pressure,
T=temperature,
rho=density,
u=self.state.U / self.state.m,
h=self.gas.specific_enthalpy(temperature),
)
self.port_1.p = pressure
self.port_1.h_outflow = properties.h
self.port_2.p = pressure
self.port_2.h_outflow = properties.h
return properties
def gas_mass_g(self) -> float:
return self.state.m * 1.0e3
def port_mass_flow(
self,
*,
port_pressure_pa: float,
port_temperature_k: float,
) -> float:
"""Return mass flow from an external port into the center storage."""
if port_pressure_pa <= 0.0:
raise ValueError("port_pressure_pa must be positive")
if port_temperature_k <= 0.0:
raise ValueError("port_temperature_k must be positive")
center = self.properties()
pressure_difference = port_pressure_pa - center.p
if pressure_difference == 0.0:
return 0.0
upstream_pressure = max(port_pressure_pa, center.p)
upstream_temperature = (
port_temperature_k if pressure_difference > 0.0 else center.T
)
density = self.gas.density(upstream_pressure, upstream_temperature)
magnitude = self._mass_flow_for_resistance_pressure_drop(
abs(pressure_difference),
density=density,
temperature=upstream_temperature,
)
return magnitude if pressure_difference > 0.0 else -magnitude
def _mass_flow_for_resistance_pressure_drop(
self,
pressure_drop_pa: float,
*,
density: float,
temperature: float,
) -> float:
original_length = self.length
self.length = self._resistance_length
try:
return self._mass_flow_for_pressure_drop(
pressure_drop_pa,
density=density,
temperature=temperature,
)
finally:
self.length = original_length
def diagnostics(
self,
*,
mass_flow_kg_s: float,
temperature_k: float | None = None,
) -> AmesimPnl0001Diagnostics:
properties = self.properties()
temperature = temperature_k or properties.T
reynolds = self._reynolds_number(mass_flow_kg_s, temperature)
friction_factor = self._friction_factor(reynolds)
velocity = mass_flow_kg_s / (properties.rho * self.area)
original_length = self.length
self.length = self._resistance_length
try:
pressure_drop = self._darcy_pressure_drop(
mass_flow_kg_s,
density=properties.rho,
temperature=temperature,
)
finally:
self.length = original_length
return AmesimPnl0001Diagnostics(
mass_flow_kg_s=mass_flow_kg_s,
reynolds_number=reynolds,
gas_velocity_m_s=velocity,
friction_factor=friction_factor,
pressure_drop_pa=pressure_drop,
)
def derivatives_from_connections(
self,
*,
port_1_m_flow: float,
connected_h_1: float,
port_2_m_flow: float,
connected_h_2: float,
) -> VolumeState:
center = self.properties()
inlet_h_1 = self.connection_inlet_enthalpy(
port_m_flow=port_1_m_flow,
connected_h=connected_h_1,
internal_h=center.h,
)
inlet_h_2 = self.connection_inlet_enthalpy(
port_m_flow=port_2_m_flow,
connected_h=connected_h_2,
internal_h=center.h,
)
heat_flow = (
self.heat_transfer_coefficient
* self.heat_transfer_area
* (self.external_temperature - center.T)
)
return VolumeState(
m=port_1_m_flow + port_2_m_flow,
U=port_1_m_flow * inlet_h_1 + port_2_m_flow * inlet_h_2 + heat_flow,
)
class AmesimPnl00rPipe(_DarcyPipeResistanceMixin, AlgebraicComponent):
"""First-pass AMESim ``PNL00R`` (R) pipe resistance."""
def __init__(
self,
name: str,
*,
diameter_mm: float,
length_m: float,
relative_roughness: float,
gas: AmesimPneumaticGas = HELIUM_PNEUMATIC_GAS,
) -> None:
if diameter_mm <= 0.0:
raise ValueError("diameter_mm must be positive")
if length_m <= 0.0:
raise ValueError("length_m must be positive")
if relative_roughness < 0.0:
raise ValueError("relative_roughness must be non-negative")
super().__init__(name=name)
self.diameter = diameter_mm * 1.0e-3
self.length = length_m
self.relative_roughness = relative_roughness
self.gas = gas
self.area = diameter_mm_to_area_m2(diameter_mm)
self.port_1 = PortState()
self.port_2 = PortState()
def mass_flow(
self,
*,
port_1_pressure_pa: float,
port_1_temperature_k: float,
port_2_pressure_pa: float,
port_2_temperature_k: float,
) -> float:
"""Return mass flow from port 1 to port 2 in kg/s."""
if port_1_pressure_pa <= 0.0 or port_2_pressure_pa <= 0.0:
raise ValueError("port pressures must be positive")
if port_1_temperature_k <= 0.0 or port_2_temperature_k <= 0.0:
raise ValueError("port temperatures must be positive")
pressure_difference = port_1_pressure_pa - port_2_pressure_pa
if pressure_difference == 0.0:
return 0.0
upstream_pressure = max(port_1_pressure_pa, port_2_pressure_pa)
upstream_temperature = (
port_1_temperature_k
if pressure_difference > 0.0
else port_2_temperature_k
)
density = self.gas.density(upstream_pressure, upstream_temperature)
magnitude = self._mass_flow_for_pressure_drop(
abs(pressure_difference),
density=density,
temperature=upstream_temperature,
)
return magnitude if pressure_difference > 0.0 else -magnitude
def diagnostics(
self,
*,
mass_flow_kg_s: float,
pressure_pa: float,
temperature_k: float,
) -> AmesimPnl0001Diagnostics:
density = self.gas.density(pressure_pa, temperature_k)
reynolds = self._reynolds_number(mass_flow_kg_s, temperature_k)
friction_factor = self._friction_factor(reynolds)
velocity = mass_flow_kg_s / (density * self.area)
pressure_drop = self._darcy_pressure_drop(
mass_flow_kg_s,
density=density,
temperature=temperature_k,
)
return AmesimPnl0001Diagnostics(
mass_flow_kg_s=mass_flow_kg_s,
reynolds_number=reynolds,
gas_velocity_m_s=velocity,
friction_factor=friction_factor,
pressure_drop_pa=pressure_drop,
)
def helium_dynamic_viscosity(temperature_k: float) -> float:
"""Sutherland approximation centered on the test_mql initial condition."""
if temperature_k <= 0.0:
raise ValueError("temperature_k must be positive")
reference_temperature = 293.15
reference_viscosity = 2.0e-5
sutherland_constant = 79.4
return (
reference_viscosity
* (temperature_k / reference_temperature) ** 1.5
* (reference_temperature + sutherland_constant)
/ (temperature_k + sutherland_constant)
)