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Impact of Surface Roughness on Heat Transfer in Additive Manufacturing

Examining how surface texture influences heat management in 3D printed parts.

― 6 min read


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Additive manufacturing, also known as 3D printing, creates objects layer by layer from digital designs. This method is increasingly used to make complex parts, like those in gas turbines, where heat management is crucial. These parts need to withstand high temperatures and pressures while ensuring efficient cooling.

One important aspect of this process is how the Roughness of the surfaces impacts the flow of heat and air. Traditional manufacturing often results in smoother surfaces, while additive manufacturing can create rough, uneven surfaces that change the way heat and air move. More research is needed to understand these differences and their effects on performance.

Understanding Surface Roughness

Roughness refers to the tiny bumps and valleys on a surface. In additive manufacturing, various factors like the type of material, the speed of printing, and the laser's power contribute to this roughness. The surfaces can have areas that are higher, or "peaks," and areas that are lower, or "valleys." These features can greatly affect how heat is transferred and how fluid flows across the surface.

Importance of Heat Transfer

Heat transfer is a fundamental process in many applications, particularly in cooling systems for engines and turbines. The movement of heat away from hot areas to cooler ones is essential to maintain performance and prevent damage. The efficiency of heat transfer can be influenced by Surface Characteristics, such as roughness and the arrangement of peaks and valleys.

Research Objectives

The research aimed to study how the roughness of additively manufactured surfaces affects turbulent heat transfer. By simulating different surface roughness patterns, we looked at how varying heights and shapes impact the way heat moves across these surfaces. Understanding these effects can lead to better designs for cooling systems in gas turbines and other applications.

Process of Creating Rough Surfaces

To conduct the study, we created several different surfaces from a single type of 3D printed material, Inconel 939. This material, known for its high-temperature performance, was used to explore how roughness affects heat transfer. We made two sets of surfaces: one set with peaks and another flipped set that had valleys.

Each surface was carefully measured to ensure the heights and shapes were controlled, allowing us to effectively compare the impacts of different roughness features.

Simulation Methodology

The research utilized advanced computer simulations to analyze how air and heat move over the rough surfaces. The simulations modeled the flow of air as it interacts with the rough surfaces under controlled conditions. By doing this, we could study various factors, such as the velocity of the air and how heat spreads across the surfaces.

In total, six different roughness configurations were analyzed, each with two versions: one with peaks and one with valleys. This allowed for a comprehensive comparison between different surface types.

Examining Flow Characteristics

The simulations helped us understand how the air moves over the surfaces. Key factors included the speed of the air, the temperature profiles, and the heat transfer rates. These characteristics were crucial to determining how effective each surface type was at transferring heat.

The findings indicated that surfaces with higher peaks improved heat transfer more effectively than those with deeper valleys. The areas where the air interacted with the peaks showed greater turbulence, enhancing heat mixing and therefore boosting heat transfer efficiency.

Results of the Simulations

Heat Transfer Enhancements

The results from the simulations revealed that as the roughness of the surfaces increased, the rate of heat transfer also improved. This effect was observed particularly in surfaces dominated by peaks. Conversely, surfaces with valleys had reduced heat transfer effectiveness.

The difference in heat transfer performance was closely linked to the behavior of the air as it flowed across the surfaces. Peaks caused more disturbances in the air flow, leading to better mixing and heat transfer.

Velocity and Temperature Profiles

The analysis of the velocity profiles showed that higher roughness resulted in a greater downward shift in the velocity near the surface. Additionally, the temperature profiles indicated that rough surfaces led to higher temperature values closer to the wall compared to smoother surfaces.

This divergence highlighted the significant impact of the roughness height on both air velocity and temperature, essential for effective heat management in engineering applications.

Effective Prandtl Number

The effective Prandtl number, which helps quantify the relative effectiveness of momentum and heat transfer, was higher in rough surfaces. This indicated that the turbulence created by the roughness led to a greater momentum transfer than heat transfer, which is helpful to engineers when designing cooling systems.

Understanding Anisotropy in Turbulent Flow

Turbulent flow refers to the chaotic and irregular movement of fluid, which can be influenced by the surface it flows over. In our study, we looked closely at how the roughness patterns created different turbulent states. These states affect the behavior of the flow and are characterized by how different components of the fluid interact.

Anisotropic Effects of Surface Features

The surface features caused anisotropic effects, where different directions of flow experienced varying levels of turbulence. Surfaces with peaks enhanced turbulence in the streamwise direction more significantly than surfaces with valleys, where the flow behaved more uniformly.

The study highlighted the importance of surface characteristics in influencing turbulence and, ultimately, heat transfer. Different surface heights and shapes led to distinct flow patterns that could benefit or hinder cooling performance.

Implications for Gas Turbine Design

From the findings, it’s clear that surface roughness plays a vital role in the performance of cooling systems in gas turbines. Surfaces with well-defined peaks can offer better heat transfer capabilities compared to those with deep valleys.

Recommendations for Future Designs

  1. Rough Surface Optimization: When designing components for cooling systems, targeting specific roughness profiles with pronounced peaks can improve thermal performance.

  2. Material Considerations: The choice of materials should align with the desired roughness characteristics to maximize cooling efficiency without compromising structural integrity.

  3. Simulation Usage: Continued use of advanced simulations can further enhance understanding of fluid dynamics over complex surfaces, allowing for more tailored designs.

Conclusion

In summary, the study provided valuable insights into how the roughness of additively manufactured surfaces influences heat transfer. A better understanding of these relationships can aid engineers in designing more efficient cooling systems, ultimately improving the performance of high-temperature applications such as gas turbines.

By focusing on specific surface features, manufacturers can design components that better manage heat and optimize overall efficiency, which is essential in today's high-performance environments. Continued research in this area will further bridge the gap between additive manufacturing and practical engineering applications, enriching the future of technology.

Original Source

Title: Large Eddy Simulations of Flow over Additively Manufactured Surfaces: Impact of Roughness and Skewness on Turbulent Heat Transfer

Abstract: Additive manufacturing creates surfaces with random roughness, impacting heat transfer and pressure loss differently than traditional sand-grain roughness. We conducted high-fidelity heat transfer simulations over three-dimensional additive manufactured surfaces with varying roughness heights and skewness. Based on an additive manufactured Inconel 939 sample from Siemens Energy AB, we created six surfaces with different normalized roughness heights, $R_a/D = 0.001, 0.006, 0.012, 0.015, 0.020,$ and $0.028$, and a fixed skewness, ${s_k} = 0.424$. Each surface was also flipped to obtain negatively skewed counterparts (${s_k} = -0.424)$. Simulations were conducted at a constant Reynolds number of 8000 and with temperature treated as a passive scalar. We analyzed temperature, velocity profiles and heat fluxes to understand the impact of roughness height and skewness on heat and momentum transfer. The inner-scaled mean temperature profiles are of larger magnitude than the mean velocity profiles both inside and outside the roughness layer. This means the temperature wall roughness function differs from the momentum wall roughness function. Surfaces with positive and negative skewness yielded different estimates of equivalent sand-grain roughness for the same $R_a/D$ values, suggesting a strong influence of slope and skewness on the relationship between roughness function and equivalent sand-grain roughness. Analysis of the heat and momentum transfer mechanisms indicated an increased effective Prandtl number within the rough surface in which the momentum diffusivity is larger than the corresponding thermal diffusivity due to the combined effects of turbulence and dispersion. Results consistently indicated improved heat transfer with increasing roughness height and positively skewed surfaces performing better beyond a certain roughness threshold than negatively skewed ones.

Authors: Himani Garg, Guillaume Sahut, Erika Tuneskog, Karl-Johan Nogenmyr, Christer Fureby

Last Update: 2024-06-08 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2406.05430

Source PDF: https://arxiv.org/pdf/2406.05430

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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