Development and Validation of a

<p dir="ltr">This paper presents an integrated framework for the mathematical modeling, parameter calibration, and software</p><p dir="ltr">implementation for optimal design of dry gas filters in natural gas applications. The developed model, based on the</p><p dir="ltr">Darcy–Forchheimer equation, incorporates calibrated parameters �� = 7.2 �� 10</p><p>−13</p><p>2</p><p dir="ltr"> ��</p><p>−1</p><p dir="ltr"> , �� = 1250 ��</p><p dir="ltr">obtained from</p><p dir="ltr">experimental data in accordance with the Iranian Gas Standard IGS-M-PM-111(2). Validation results demonstrate a</p><p dir="ltr">prediction accuracy of 99.2% with a root mean square error of 7.5 Pa. A multi-platform software system including a</p><p dir="ltr">computational core, web interface, and desktop applications enables efficient filter design optimization. The framework</p><p dir="ltr">provides capabilities for sensitivity analysis, design optimization, lifetime prediction, and energy consumption analysis,</p><p dir="ltr">establishing itself as a valuable tool for engineers and researchers in the natural gas industry. </p>