Abstract

The use of porous coatings is one of the passive flow control methods used to reduce turbulence, noise and vibrations generated due to fluid flow. Porous coatings for flow stabilization have potential for a light-weight, cost-effective, and customizable solution. The design and performance of a structured porous coating depend on multiple control parameters like lattice size, strut thickness, lattice structure/geometry, etc. This study investigated the suitability of MSLA 3D printers to manufacture porous coatings based on unit cell designs to optimize porous lattices for flow control behind a cylinder. The Reynolds number used was 6.1×104–1.5×105 and the flow measurements were taken using a hotwire probe. Different experiment sets were conducted for single cylinder with varying control parameters to achieve best performing lattice designs. It was found that lattice structures with higher porosity produced lower turbulence intensity in the wake of the cylinder. However, for constant porosity lattice structures, there was negligible difference in turbulence and mean wake velocity levels. Coating thickness did not have a linear relationship with turbulence reduction, suggesting an optimal thickness value. For constant porosity coatings, cell count in coating thickness did not influence the turbulence or mean wake velocity. Partial coating designs like helical and spaced coatings had comparable performance to that of a full coating. MSLA printers were found capable of manufacturing thin and complex porous lattices.

Highlights

  • A direct relation between environmental noise and the quality of life has been found by researchers [1,2]

  • This study focused on porous coatings as a passive flow control method for flow regularisation with an aim for noise and vibration reduction

  • A total of six experiment sets were performed with varying control parameters based on the unit cell definition

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Summary

Introduction

A direct relation between environmental noise and the quality of life has been found by researchers [1,2]. Research from WHO estimated a loss of nearly 1.6 million lives per year in Western Europe due to environmental noise [3]. The acoustic power of sound is proportional to 6th–8th power of velocity [4,5] and this leads to an intense increase in noise levels with a relatively small increase in velocity. This has led to a demand for flow control methods with an aim for noise reduction

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