Additive Manufacturing (AM) of copper and copper alloys has opened new frontiers in heat transfer applications, going beyond the capabilities of conventional technologies. Despite the great design freedom offered by AM, when dealing with metal powders, a few issues should be considered to exploit the great capabilities of this manufacturing technology. In fact, the surface roughness of the components is expected to affect the performance of the devices, which can be remarkably different from the ones simulated with software. This paper presents a critical analysis of the accuracy of the numerical tools to simulate the fluid flow behaviour inside cooling channels obtained via AM. The work shows the major limitations of the standard approaches to accurately predict the pressure drops in straight and complex channels. Three different copper channels of growing complexity were built via LPBF (Laser Powder Bed Fusion) and then they were experimentally tested at different water flow rates to evaluate the predictive abilities of the numerical model. The results revealed that the surface roughness deeply affects the fluid flow behaviour, thus the numerical models need to be calibrated to become a reliable design tool. The proposed procedure can be considered the first attempt in this direction and allows for a proper integration of the AM with the numerical simulation tools, to boost the design capabilities of LPBF technology.

Additive Manufacturing for Thermal Management Applications: from Experimental Results to Numerical Modelling

Giacomo Favero
;
Massimiliano Bonesso;Pietro Rebesan;Simone Mancin
2022

Abstract

Additive Manufacturing (AM) of copper and copper alloys has opened new frontiers in heat transfer applications, going beyond the capabilities of conventional technologies. Despite the great design freedom offered by AM, when dealing with metal powders, a few issues should be considered to exploit the great capabilities of this manufacturing technology. In fact, the surface roughness of the components is expected to affect the performance of the devices, which can be remarkably different from the ones simulated with software. This paper presents a critical analysis of the accuracy of the numerical tools to simulate the fluid flow behaviour inside cooling channels obtained via AM. The work shows the major limitations of the standard approaches to accurately predict the pressure drops in straight and complex channels. Three different copper channels of growing complexity were built via LPBF (Laser Powder Bed Fusion) and then they were experimentally tested at different water flow rates to evaluate the predictive abilities of the numerical model. The results revealed that the surface roughness deeply affects the fluid flow behaviour, thus the numerical models need to be calibrated to become a reliable design tool. The proposed procedure can be considered the first attempt in this direction and allows for a proper integration of the AM with the numerical simulation tools, to boost the design capabilities of LPBF technology.
2022
Proceedings of 19th International Refrigeration and Air Conditioning Conference
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3456733
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