File size: 3,707 Bytes
505117b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | from __future__ import annotations
import argparse
import json
from pathlib import Path
import pandas as pd
from scripts.analyze_multimodal_case import discover_states, summarize_thermal_states
CHANNEL_WIDTH_M = 2.5e-3
CHANNEL_HEIGHT_M = 5.0e-3
HEATED_LENGTH_M = 0.1146
FLOW_AREA_M2 = CHANNEL_WIDTH_M * CHANNEL_HEIGHT_M
HEATED_AREA_M2 = CHANNEL_WIDTH_M * HEATED_LENGTH_M
HYDRAULIC_DIAMETER_M = 2 * CHANNEL_WIDTH_M * CHANNEL_HEIGHT_M / (
CHANNEL_WIDTH_M + CHANNEL_HEIGHT_M
)
CASE_ORDER = ("5gs_22C", "10gs_22C", "15gs_20C", "25gs_20C")
def main() -> None:
parser = argparse.ArgumentParser(
description="Audit traceable thermal state windows and geometry-derived quantities."
)
parser.add_argument("--flow-loop-root", required=True)
parser.add_argument("--image-root", required=True)
parser.add_argument("--output-dir", required=True)
parser.add_argument("--voltage-tolerance", type=float, default=0.75)
args = parser.parse_args()
flow_root = Path(args.flow_loop_root)
image_root = Path(args.image_root)
output_dir = Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
frames = []
for case in CASE_ORDER:
state_rows = summarize_thermal_states(
states=discover_states(image_root / case),
thermal_workbook=flow_root / case / f"{case}.xlsx",
thermal_input_workbook=flow_root / case / f"{case}_IN_with_units.xlsx",
voltage_tolerance=args.voltage_tolerance,
)
state_rows.insert(0, "case_label", case)
frames.append(state_rows)
summary = pd.concat(frames, ignore_index=True)
summary["mass_flux_kg_m2_s"] = summary["mass_flow_mean_kg_s"] / FLOW_AREA_M2
summary["mass_flux_std_kg_m2_s"] = summary["mass_flow_std_kg_s"] / FLOW_AREA_M2
summary["heat_flux_from_power_w_cm2"] = summary["power_mean_w"] / HEATED_AREA_M2 / 1e4
summary["heat_flux_reconstruction_delta_w_cm2"] = (
summary["heat_flux_mean_w_cm2"] - summary["heat_flux_from_power_w_cm2"]
)
summary["bulk_temperature_rise_c"] = (
summary["outlet_temperature_mean_c"] - summary["inlet_temperature_mean_c"]
)
summary.to_csv(output_dir / "thermal_state_audit.csv", index=False)
manifest = {
"channel_width_m": CHANNEL_WIDTH_M,
"channel_height_m": CHANNEL_HEIGHT_M,
"heated_length_m": HEATED_LENGTH_M,
"flow_area_m2": FLOW_AREA_M2,
"heated_area_m2": HEATED_AREA_M2,
"hydraulic_diameter_m": HYDRAULIC_DIAMETER_M,
"heat_flux_equation": "q_double_prime=P/(heated_length*channel_width)",
"mass_flux_equation": "G=m_dot/(channel_width*channel_height)",
"uncertainty_scope": (
"reported standard deviations quantify within-window temporal variation only; "
"instrument calibration uncertainties were not supplied"
),
"excluded_from_validation": [
"Qsp energy balance because its source notebook multiplies m_dot*cp*abs(Tout-Tin) by an undocumented 0.53",
"friction-factor outputs because source mass velocity uses g/s without conversion to kg/s",
"supplied HTC as a validated endpoint because thermocouple placement/corrections and sensor uncertainty are not documented",
],
}
(output_dir / "thermal_reduction_manifest.json").write_text(
json.dumps(manifest, indent=2), encoding="utf-8"
)
print(summary[[
"case_label",
"state_label",
"mass_flux_kg_m2_s",
"heat_flux_mean_w_cm2",
"heat_flux_reconstruction_delta_w_cm2",
"wall_temperature_mean_c",
]].to_string(index=False))
if __name__ == "__main__":
main()
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