ROUGHNESS RELATED TO COOLING PERFORMANCE OF CHANNELS MADE THROUGH ADDITIVE MANUFACTURING

Alexander J. Wildgoose, Karen A. Thole, Erika Tuneskog, Lieke Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The complex surface morphology and multiscale surface features inherent with additively manufactured (AM) components contributes to the overall flow characteristics and heat transfer of cooling passages. As the AM process and cooling data in literature continues to evolve, so does the need for more accurate heat transfer and pressure loss correlations for AM cooling schemes. This study improves the predictability of pressure loss and heat transfer for AM cooling passages by fabricating a range of coupons and investigating samples in literature. Twenty-seven test coupons were manufactured using direct metal laser sintering in an assortment of build directions and build locations that produced a variety of surface morphologies. Nondestructive evaluation, computed tomography scanning, was used to quantify the surface morphology as well as capture the as-built geometric dimensions of the cooling schemes. Friction factor and bulk Nusselt number of the coupons were measured using an experimental rig. Pressure loss and heat transfer correlations in literature were compared with the experimental results from the current coupons and datasets from literature. Arithmetic mean roughness correlations in literature struggled to predict the cooling performance of AM channels since the bulk roughness statistic did not capture the overall form of the surface morphology. A combination of root mean square roughness and skewness of the roughness was able to best predict pressure loss and heat transfer for the present samples and those in literature while being independent of build location, build direction, material, machine, and laser parameters. The maximum absolute error was 25% and average absolute error was 12% for the friction factor correlation. The maximum absolute error was 39% and average absolute error was 8% for the Nusselt Number correlation.

Original languageEnglish (US)
Title of host publicationHeat Transfer - General Interest/Additive Manufacturing Impacts on Heat Transfer; Internal Air Systems; Internal Cooling
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791887011
DOIs
StatePublished - 2023
EventASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023 - Boston, United States
Duration: Jun 26 2023Jun 30 2023

Publication series

NameProceedings of the ASME Turbo Expo
Volume7-B

Conference

ConferenceASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023
Country/TerritoryUnited States
CityBoston
Period6/26/236/30/23

All Science Journal Classification (ASJC) codes

  • General Engineering

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