Image segmentation and analysis for porosity measurement

Malcolm, Andrew Alexander; Leong, Hungyang; Spowage, A.C.; Shacklock, A.

doi:10.1016/j.jmatprotec.2007.04.041

Cited by 36 publications

(24 citation statements)

References 9 publications

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“…The micro-CT technique performs segmentation of 3D porosity into a set of 2D CT slice images providing acceptable image quality, precise density profile, high spatial resolutions (i.e., below 1 μm), good pore contrast, and reliable pore shape anisotropy. Micro-CT is still under development especially in terms of 3D structure reconstruction and extraction of reliable information on structural parameters [18,19].…”

Section: Introductionmentioning

confidence: 99%

An image-based methodology to establish correlations between porosity and cutting force in micromilling of porous titanium foams

Fakhri

Bordatchev

Tutunea‐Fatan

2011

Int J Adv Manuf Technol

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Porous titanium foam is now a standard material for various dental and orthopedic applications due to its light weight, high strength, and full biocompatibility properties. In practical biomedical applications, outer surface geometry and porosity topology significantly influence the adherence between implant and neighboring bone. New microfabrication technologies, such as micromilling and laser micromachining opened new technological possibilities for shape generation of this class of products. Besides typical geometric alterations, these manufacturing techniques enable a better control of the surface roughness that in turn affects to a large extent the friction between implant and surrounding bone tissue. This paper proposes an image analysis approach for optical investigation of the porosity that is tailored to the specifics of micromilling process, with emphasis on cutting force monitoring. According to this method, the area of porous material removed during micromilling operation is estimated from optical images of the micromachined surface, and then the percentage of solid material cut is calculated for each tool revolution. The employment of the aforementioned methodology in micromilling of the porous titanium foams revealed reasonable statistical correlations between porosity and cutting forces, especially when they were characterized by low-frequency variations. The developed procedure unlocks new opportunities in optimization of the implant surface micro-geometry, to be characterized by an increased roughness with minimal porosity closures in an attempt to maximize implant fixation through an appropriate level of bone ingrowth.

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Section: Introductionmentioning

confidence: 99%

An image-based methodology to establish correlations between porosity and cutting force in micromilling of porous titanium foams

Fakhri

Bordatchev

Tutunea‐Fatan

2011

Int J Adv Manuf Technol

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“…FoamView [29] was compiled with an intention to analyze real 3D polymeric foams. FoamView extracts structural information from the anisotropic foam (e.g.…”

Section: Morphological Characterization Of Density Gradation In the Pmentioning

confidence: 99%

“…In the search for an image processing system that includes the smallest pore sizes and detects the thinner cell walls that otherwise are neglected, Malcolm et al [29] developed an automated image processing method for metal foams with the remarkable advantages of providing a better segmentation over commercially available softwares and more speed (x10) over manual segmentation. This method allows characterization of 2D slices using individual parameters (e.g.…”

Section: Morphological Characterization Of Density Gradation In the Pmentioning

confidence: 99%

Morphological and biological characterization of density engineered foams fabricated by ultrasonic sonication

Torres-Sánchez

Corney

2010

J Mater Sci

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“…Under compression loading, they respond in three phases: a. initial linear elasticity, b. plateu as a result of collapse of cell walls and c. densification in the end. Porosity itself, defined with image segmentation technique [5], plays a huge role, but it is believed that surface roughness can be partially controlled with milling parameters. Final surface properties can be then considered as a set of two influences: 1.…”

Section: Introductionmentioning

confidence: 99%

Influence of milling process on machined surface of porous polyurethane (PU) foam

et al. 2016

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Original scientific paper Nowadays polyurethane modelling foams are successfully replacing original materials in many applications due to certain comparative advantages also in copying artefacts. Milling is a fundamental machining operation frequently used in transforming products of PU foam. This experimental study focuses on surface roughness of milled PU foam. The influences of machining parameters on surface roughness in PU foam milling were assessed. Linear and area surface roughness evaluations after CNC milling are compared and estimated for the use in future research. Additionally the surface roughness values increase with a feed rate per tooth and decrease with an increase of spindle speed. The milling tests showed significant influence of modelling board density on the final surface roughness. Additional area surface roughness values have been evaluated. Keywords: milling; polyurethane modelling foam; surface roughness Utjecaj procesa glodanja na obrađenu površinu porozne poliuretanske (PU) pijeneIzvorni znanstveni članak U ovo doba poliuretanske pjene za modeliranje uspješno zamjenjuju izvorne materijale u mnogim aplikacijama zbog određenih komparativnih prednosti, tako i kod kopiranja artefakta. Glodanje je temeljna strojna operacija koja se često koristi u obradi proizvoda od PU pjene. Ova eksperimentalna studija usredotočuje se na površinsku hrapavost glodane PU pjene. Ocijenjeni su utjecaji parametara obrade na hrapavost površine u procesu glodanja PU pjene. Linearne i površinske procjene hrapavosti nakon CNC glodanja su uspoređene i procijenjene za uporabu u budućim istraživanjima. Isto tako vrijednosti hrapavosti površina povećavaju se s brzinom punjenja po zubu i smanjuju se s povećanjem brzine vretena. Testovi glodanja pokazali su značajan utjecaj gustoće PU pjena za modeliranje na konačnu hrapavost površine. Dodatno su ocijenjene vrijednosti hrapavosti površina.

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Image segmentation and analysis for porosity measurement

Cited by 36 publications

References 9 publications

An image-based methodology to establish correlations between porosity and cutting force in micromilling of porous titanium foams

An image-based methodology to establish correlations between porosity and cutting force in micromilling of porous titanium foams

Morphological and biological characterization of density engineered foams fabricated by ultrasonic sonication

Influence of milling process on machined surface of porous polyurethane (PU) foam

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