Development and Validation of a

This paper presents an integrated framework for the mathematical modeling, parameter calibration, and softwareimplementation for optimal design of dry gas filters in natural gas applications. The developed model, based on theDarcy–Forchheimer equation, incorporates calibrated parameters 𝜅 = 7.2 𝑥 10−132 𝑚−1 , 𝛽 = 1250 𝑚obtained fromexperimental data in accordance with the Iranian Gas Standard IGS-M-PM-111(2). Validation results demonstrate aprediction accuracy of 99.2% with a root mean square error of 7.5 Pa. A multi-platform software system including acomputational core, web interface, and desktop applications enables efficient filter design optimization. The frameworkprovides capabilities for sensitivity analysis, design optimization, lifetime prediction, and energy consumption analysis,establishing itself as a valuable tool for engineers and researchers in the natural gas industry.