On the performance evaluation of microtextured surfaces using computational fluid dynamics: a comparative study

Escudero Ornelas, Aland, Bhaduri, Debajyoti ORCID: https://orcid.org/0000-0002-8270-388X, Martinez Zavala, Haydee, Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 and Bigot, Samuel ORCID: https://orcid.org/0000-0002-0789-4727 2022. On the performance evaluation of microtextured surfaces using computational fluid dynamics: a comparative study. Presented at: World Congress on Micro and Nano Manufacturing - WCMNM 2022, Leuven, Belgium, 19-22 September 2022.

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Abstract

Microtextured surfaces are gaining rapid uptake in industrial sectors for bespoke functional applications that require specific tribological, mechanical and biological properties, such as friction and wear, corrosion resistance, wettability, bio-reactivity and so on. Although comprehensive study has been undertaken to create optimal texture designs that adapt to each respective application, the design process still requires elements of trial-and-error approaches. In order to minimise the uncertainty of the trial-and-error design process, this study centres on employing computational fluid dynamics (CFD) software tools to assess isothermal fluid flow velocity profiles on the microtextured surfaces, in relation to the energy-sector applications. A comparative analysis has been undertaken on the effectiveness of three different CFD tools to predict the velocity profiles generated on the textured surfaces under atmospheric fluid flow conditions (1000 L/min) with a fixed input air velocity (3.78 m/s) at room temperature. The results from the CFD analysis were then compared with that obtained from an experimental set-up involving a scallop-shaped textured surface produced via micro-wire electro discharge machining. The data suggest that the predicted velocity profile on using the scan of a real manufactured surface is significantly closer rather than when using a CAD idealised textured surface. However, there remains some limitations with the meshing that require further research.

Item Type:	Conference or Workshop Item (Paper)
Status:	Unpublished
Schools:	Engineering
Date of Acceptance:	2022
Last Modified:	06 Jan 2024 04:37
URI:	https://orca.cardiff.ac.uk/id/eprint/151734

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