| 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() |
|
|
