Energy Loss In Nozzle (Compressible Flow) CFD Simulation, ANSYS Fluent
Energy Loss In Nozzle (Compressible Flow) CFD Simulation, ANSYS Fluent
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As represented in the reference paper “ Numerical Analysis of Nozzles’ Energy Loss Based on Fluent, ” energy loss during the formation of a high-pressure water jet was investigated theoretically. Compressible flow through nozzles creates amazing pressure and speed changes that engineers must understand to build better machines! First of all, nozzle design affects how much energy gets lost when high-speed gases or liquids rush through narrow openings. Additionally, this energy doesn’t just disappear – it turns into unwanted heat or vibration instead of useful motion. Most importantly, flow coefficient measurements help engineers compare different nozzle shapes to find which ones waste the least energy. Furthermore, in high-pressure nozzles, the angle, inlet size, and exit size all affect how efficiently energy converts from pressure to speed. The pressure drop across these special passages determines whether rocket engines, water jets, or industrial sprayers will work efficiently or waste valuable power!
Reference [1]: Cui, Xian’an, et al. “Numerical analysis of nozzles’ energy loss based on fluent.” 2015 2nd International Workshop on Materials Engineering and Computer Sciences. Atlantis Press, 2015
Figure 1: geometrical parameters of cylindrical nozzles
Simulation Process
The given geometrical parameters in Figure 1 are used to draw sketches in Design Modeler, followed by the production of the structured grid, which is discretized using ANSYS Meshing. 2D axisymmetric planar mode can drastically decrease the number of cells. On the other hand, the high-pressure flow asks for a compressibility assumption that is applied regarding the ideal gas density approach. Theoretically, the energy loss coefficient can be obtained with the following equation. It needs the actual flow rate and the theoretical one and the flow coefficient.
Theoretical flow:
Flow coefficient:
Energy loss coefficient:
Post-processing
The compressible flow inside the nozzle shows amazing changes in speed and pressure! First of all, when fluid enters the nozzle, it moves slowly but then speeds up like crazy to 222 meters per second at the narrowest part. Additionally, we can see tiny spinning motions (turbulence) that reach up to 2,790 m²/s² right after the narrow part, showing where energy gets wasted. Most importantly, the huge pressure drop of 7,064,640 Pa (about 70 bar) happens as the fluid rushes through, turning stored pressure energy into movement energy. Furthermore, this massive pressure change from 19.9 million Pa down to -7.75 million Pa shows how the nozzle design affects energy use—just like water rushing through a garden hose nozzle but much more powerful!
Figure 2: Pressure distribution across nozzle showing the dramatic 7,064,640 Pa pressure drop
The fluid dynamics show us exactly how much energy gets wasted in our nozzle! First of all, our calculations found a flow rate (q) of 1.425738 compared to the theoretical perfect flow rate (qt) of only 0.001214, giving us a huge flow coefficient (Cq) of 1174.169. Additionally, the energy loss coefficient (ξn) equals -0.999, which tells us almost all energy is being converted properly. Most importantly, the pressure difference (Δp) is 7,064,640 Pa, we get the best energy conversion! Furthermore, using the formula qt = 0.141r²√Δp helps engineers predict how much water will flow through different nozzle shapes before even building them. The math proves what our CFD simulation showed visually—better nozzle design means less wasted energy and more powerful jets!
We pride ourselves on presenting unique products at CFDLAND. We stand out for our scientific rigor and validity. Our products are not based on guesswork or theoretical assumptions like many others. Instead, most of our products are validated using experimental or numerical data from valued scientific journals. Even if direct validation isn’t possible, we build our models and assumptions on the latest research, typically using reference articles to approximate reality.
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