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Engineering Workflows

Step-by-step guidance for common pipe system tasks

Each workflow covers the engineering methodology, key decisions, and how FluidFlow automates the calculation — from input to report.

Available Workflows

Pipe Network Pressure Drop Sizing pipes and calculating pressure losses across liquid networks. View workflow → Pump Sizing and Centrifugal Pump Selection Selecting pumps, modeling performance curves, and finding the operating point. View workflow → Cavitation and Flashing (NPSH) Identifying cavitation risk, calculating NPSH, and modeling flashing liquids. View workflow → Control Valve Sizing and Pressure Drop Sizing control valves, calculating Cv, and modeling valve authority. View workflow → Real Gas and Compressible Flow Networks Modeling high- and low-velocity gas systems, choked flow, and real gas effects. View workflow → Settling Slurry Piping and Pumping Designing slurry transport systems, deposition velocity, and pump selection. View workflow → Non-Newtonian Piping and Pump Systems Modeling Bingham plastic, power law, and Herschel-Bulkley fluids. View workflow → Liquid-Gas Two-Phase Piping Systems Two-phase flow regimes, pressure drop correlations, and flash calculations. View workflow → Pipe Network Heat Transfer Modeling heat gain/loss, fluid temperature profiles, and thermal effects on flow. View workflow → Static Head and TDH Calculating flow in gravity-driven systems — net head, static lift, and TDH. View workflow → Tank and Vessel Boundaries Setting elevation, liquid level, and surface pressure correctly so boundary pressure is right. View workflow → Tee Junction Flow Distribution Branch designation, fitting-resistance method, and why the full network determines the split. View workflow → Positive-Displacement Pumps Modeling fixed-flow PD pumps and centrifugal booster arrangements in the connected network. View workflow → Relief Valve Hydraulics Relieving flow, inlet loss, and built-up back-pressure modeled as part of the connected network. View workflow →

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Free, structured modules that build real models — the fastest way from theory to a working network.

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