Characterization of Open-Pored Metals Using Image Processing

Hinze, Björn; Rösier, J.

doi:10.1002/9781118371305.ch23

Cited by 1 publication

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“…The pixel ratio of black and white pixels gives the porosity. Furthermore, a line segmenting method is applied to measure the average pore size [7,8]. Therefore, a lattice of parallel lines with a defined distance is superimposed on the image.…”

Section: Materials Characterizationmentioning

confidence: 99%

Noise Reduction Potential of Cellular Metals

Hinze

Rösler

Lippitz

2012

Metals

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Rising numbers of flights and aircrafts cause increasing aircraft noise, resulting in the development of various approaches to change this trend. One approach is the application of metallic liners in the hot gas path of aero-engines. At temperatures of up to 600 °C only metallic or ceramic structures can be used. Due to fatigue loading and the notch effect of the pores, mechanical properties of porous metals are superior to the ones of ceramic structures. Consequently, cellular metals like metallic foams, sintered metals, or sintered metal felts are most promising materials. However, acoustic absorption depends highly on pore morphology and porosity. Therefore, both parameters must be characterized precisely to analyze the correlation between morphology and noise reduction performance. The objective of this study is to analyze the relationship between pore morphology and acoustic absorption performance. The absorber materials are characterized using image processing based on two dimensional microscopy images. The sound absorption properties are measured using an impedance tube. Finally, the correlation of acoustic behavior, pore morphology, and porosity is outlined.

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Section: Materials Characterizationmentioning

confidence: 99%