1D hydraulic network modeling
This lesson introduces 1D hydraulic network modeling to simulate fluid flow, pressure losses, and convective heat transfer in duct systems using efficient one-dimensional elements.
This lesson may include hands-on exercises. Review the Discussion section for background information or click the button to proceed to the practical section.
Discussion
1D hydraulic network modeling is used to simulate fluid flow and convective heat transfer in duct systems without the computational cost of full CFD analysis. In Simcenter 3D Space Systems Thermal, hydraulic elements represent one-dimensional duct networks and allow you to model pressure losses, mass flow, and heat exchange between the fluid and surrounding structures.
Duct flow networks define advective heat transfer due to fluid mass flow and include properties such as cross-sectional area, hydraulic diameter, flow resistance, and fluid conduction. These networks can be used to model steady-state or transient fluid behavior and are well suited for applications such as cooling channels, ventilation systems, and internal fluid loops.
Depending on the level of detail required, duct networks can be created using different approaches. You can solve for pressure, velocity, mass flow, and temperature using standard 1D duct elements, prescribe fixed mass flows using duct elements with mass flow conditions, or include heat transfer through duct walls using thick-wall duct elements. Heat exchange between ducts and surrounding 3D structures can also be modeled directly in the solution using the Immersed Ducts simulation objects.
The thermal solver treats duct flow in a manner analogous to heat transfer, conserving mass flow and using correlations for laminar, developing, and turbulent forced convection. Head losses at bends and junctions are automatically computed based on duct geometry. When required, additional thermal elements are created to represent duct walls and enable accurate coupling between the fluid and the solid model.
These capabilities allow efficient simulation of fluid-driven thermal behavior in complex systems while maintaining a balance between accuracy and computational performance.
Hands-on material
To gain experience with the topics discussed here, complete the following:
