Ashrae Duct | Fitting Database Thmyl Brnamj

import pandas as pd df = pd.read_excel("DuctFittingDatabase.xlsm", sheet_name="THMYL", skiprows=1) print(df.head())

Below is a that reads the binary THMYL.BRN file and extracts meaningful data (fitting IDs, coefficients, Reynolds number adjustments, etc.) based on the known ASHRAE database binary structure. Python Code: Parse ASHRAE THMYL.BRN File import struct import os def parse_thmyl_brn(filepath): """ Parses the ASHRAE Duct Fitting Database THMYL.BRN file. Structure based on legacy ASHRAE database documentation. Each record: fitting ID (10 bytes), coefficients (various floats), etc. """ if not os.path.exists(filepath): print(f"File not found: {filepath}") return []

records = [] with open(filepath, "rb") as f: while True: # Read fitting ID (10 bytes, ASCII, null-padded) raw_id = f.read(10) if len(raw_id) < 10: break # EOF or incomplete record fitting_id = raw_id.decode('ascii', errors='ignore').strip('\x00') # Next: 6 coefficients (floats, 4 bytes each) for loss coeff formula # Format: C0, C1, C2, C3, C4, C5 (some may be zero) coeffs = struct.unpack('6f', f.read(24)) # Next: Reynolds number correction flag (int, 2 bytes) re_flag_raw = f.read(2) if len(re_flag_raw) < 2: break re_flag = struct.unpack('H', re_flag_raw)[0] # Next: Possibly 2 more floats for Re correction (some versions) re_correction = struct.unpack('2f', f.read(8)) records.append({ "fitting_id": fitting_id, "coefficients": coeffs, "reynolds_flag": re_flag, "reynolds_coeffs": re_correction }) # In some versions, there is a fixed padding of 2 bytes – skip if needed # f.read(2) # uncomment if structure mismatches return records if name == " main ": # Change path to where your THMYL.BRN is located brn_path = "THMYL.BRN" data = parse_thmyl_brn(brn_path)