Thermal Conductivity Effect On Heat Transfer CFD Simulation, ANSYS Fluent Training

Thermal Conductivity Effect On Heat Transfer CFD Simulation, ANSYS Fluent Training

  • Upon ordering this product, you will be provided with a geometry file, a mesh file, and an in-depth Training Video that offers a step-by-step training on the simulation process.
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Original price was: €130.00.Current price is: €99.00.

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Description

Thermal conductivity plays a super important role in how heat moves through different materials! When engineers understand these heat transfer processes, they can create better products from cooking pots to space rockets. First of all, thermal conductivity is like a special score that tells us how easily heat can flow through something – metals like aluminum score high while materials like foam score very low. Additionally, CFD simulations (which stands for Computational Fluid Dynamics) let engineers see exactly how heat moves without needing to build expensive real-world tests. Moreover, these computer tests show beautiful temperature patterns that reveal hidden heat flow secrets impossible to see with human eyes alone. Furthermore, thermal management is crucial in countless devices we use every day, from keeping our phones from getting too hot to making sure rocket engines don’t melt! The amazing differences in thermal properties between materials explain why metal pots heat up quickly while their plastic handles stay cool enough to touch. Most importantly, understanding heat distribution helps engineers design more energy efficient buildings, electronics, and vehicles that waste less power and save money! By carefully studying how temperature gradients form across materials with different thermal conductivity values, scientists can create better insulation for homes, more efficient computer chips, and safer medical devices that won’t burn patients

 

Simulation Process

The current simulation concentrates on the effect of thermal conductivity on the heat transfer of a cylinder. The cylinder inside a vast domain is initially designed regarding blockage for further steps. ANSYS Meshing produces a structured grid, leading to 48300 cells. 20-degree air passes through the hot cylinder. A 25000 w/m2 point source is set in the central point. The aluminum cylinder’s thermal conductivity is ten times bigger in one of the cases.

Schematic of produced structured grid by ANSYS Meshing

Figure 1: Schematic of produced structured grid by ANSYS Meshing

Post-processing

The temperature patterns show us something amazing about how heat moves through materials! When we tested two different materials – one with low thermal conductivity (0.024) and another with high thermal conductivity (0.24) – we saw totally different heat transfer behavior. Our simulation successfully captured peak temperatures of 373.1 Kelvin (about 100°C) at the heat source for both cases, but the way heat spread was completely different! In the low conductivity case, the hot spot stayed small and concentrated, while the high conductivity material spread the heat more evenly over a wider area. Also, notice how the temperature drops much more gradually in the high conductivity material! Furthermore, when moving just 10mm away from the heat source, the temperature in the low conductivity material had already dropped by nearly 90 Kelvin, while the high conductivity material only dropped by about 40 Kelvin at the same distance!

Thermal Conductivity Effect On Heat Transfer CFD Simulation, ANSYS Fluent Training

Thermal Conductivity Effect On Heat Transfer CFD Simulation, ANSYS Fluent Training

Figure 2: Temperature distribution for two different thermal conductivity

The velocity patterns tell an even more interesting story about how heat transfer creates movement in fluids! The different thermal conductivity values created dramatically different flow patterns around our heated object. Our analysis measured maximum flow speeds of 0.4155 meters per second with both conductivity values, but the shape and size of the high-speed region changed significantly. Additionally, the higher conductivity (0.24) created a longer and more streamlined wake pattern behind the heated object compared to the lower conductivity (0.024). Most importantly, this shows how changing just one material property can completely change how heat moves through both the solid object and the surrounding fluid! This perfect demonstration of conduction and convection working together explains why engineers must carefully choose materials with the right thermal properties when designing everything from computer chips to spacecraft!

Figure 3: Velocity field for two different thermal conductivity

FAQ

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.

Yes, we’ll be here . If you have trouble loading files, having technical problems, or have any questions about how to use our products, our technical support team is here to help.

You can load geometry and mesh files, as well as case and data files, using any version of ANSYS Fluent.

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Original price was: €130.00.Current price is: €99.00.