实现test_mql PNL0001管路动态

This commit is contained in:
huojiarong committed 2026-07-17 03:28:36 +00:00
1 parent 2d33a8f4bc
commit 1193b2dcee
8 files changed
+995

No files matched your search

@@ -0,0 +1,284 @@
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 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 AmesimPnl0001Pipe(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()
inlet_h_1 = self.connection_inlet_enthalpy(
port_m_flow=port_1_m_flow,
connected_h=connected_h_1,
internal_h=internal.h,
)
inlet_h_2 = self.connection_inlet_enthalpy(
port_m_flow=port_2_m_flow,
connected_h=connected_h_2,
internal_h=internal.h,
)
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_h_1 + port_2_m_flow * inlet_h_2 + heat_flow,
)
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 PNL0001 resistance flow")
lower = 0.0
for _ in range(80):
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)
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)
)