Additive manufactured porous titanium structures: Through-process quantification of pore and strut networks

Kim, Taek Bo; Sheng, Yongwei; Zhang, Ziyu; Jones, E. Sherwood; Jones, Julian R.; Lee, Peter

doi:10.1016/j.jmatprotec.2014.05.006

Cited by 116 publications

(53 citation statements)

References 24 publications

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“…The voxel size of the reconstructed volumes was 7.85 mm. The 3D volumes were then processed following the procedure of Yue et al [25][26] so that porosity (both bulk and internal) and strut size distribution could be quantified. The strut diameter is expressed as that of the largest sphere that can be inscribed in the struts.…”

Section: Microstructural Characterisation and Imagingmentioning

confidence: 99%

Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser melting

Qiu

Sheng

Adkins

et al. 2015

Materials Science and Engineering: A

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a b s t r a c tAlSi10Mg cellular lattice structures have been fabricated by selective laser melting (SLM) using a range of laser scanning speeds and powers. The as-fabricated strut size, morphology and internal porosity were investigated using optical microscopy (OM), scanning electron microscopy (SEM) and X-ray microtomography (micro-CT) and correlated to the compressive properties of the structure. Strut diameter was found to increase monotonically with laser power while the porosity was largest at intermediate powers.Laser scanning speed was found to thicken the struts only at slow rates while the porosity was largest at intermediate speeds. High speed imaging showed the melt pool to be larger at high laser powers. Further the melt pool shape was found to vary cyclically over time, steadily growing before becoming increasingly instable and irregularly shaped before abruptly falling in size due to splashing of molten materials and the process repeating. Upon compressive loading, lattice deformation was homogeneous prior to the peak stress before falling sharply due to the creation of a (one strut wide) shear band at around 451 to the compression axis. The specific yield strength expressed as the yield stress/(yield stress of the aluminium Â relative density) is not independent of processing conditions, suggesting that further improvements in properties can be achieved by process optimisation. Lattice struts failed near nodes by a mixture of ductile and brittle fracture.

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Section: Microstructural Characterisation and Imagingmentioning

confidence: 99%

Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser melting

Qiu

Sheng

Adkins

et al. 2015

Materials Science and Engineering: A

Self Cite

305

136

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“…The mechanical properties of porous Ti can be designed and optimized according to the clinical requirements. The capacity of AM technology for fabricating porous Ti scaffolds with tailored mechanical properties has been demonstrated extensively [25][26][27].…”

Section: Characterization Of Composite Scaffoldsmentioning

confidence: 99%

Development of porous Ti6Al4V/chitosan sponge composite scaffold for orthopedic applications

Guo

2016

Materials Science and Engineering: C

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“…Random porous and cellular materials represent a category of complicated structures where novel SPC methods are needed to cope with the challenging nature of quality inspection data (Kim et al, 2014;Zhuravleva et al, 2013;Campoli et al, 2013;Banhart, 2001). In this framework, practitioners need effective methods to describe, in a synthetic way, the quality signatures enclosed in cross-section images.…”

Section: A Motivating Real Case Studymentioning

confidence: 99%

Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

et al. 2018

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The advance of sensor and information technologies is leading to data-rich industrial environments, where big amounts of data are potentially available. In this scenario, image data play a relevant role, as they can easily describe many phenomena of interest. This study focuses on images where several and similar features of interest are randomly distributed and characterized by no spatially correlated structure. Examples are pores in parts obtained via casting or additive manufacturing, voids in metal foams and light-weight components, grains in metallographic analysis, etc. The proposed approach consists of summarizing the random occurrences of the observed features via its (empirical) probability density function (PDF). In particular, a novel approach for PDF monitoring is proposed. It is based on simplicial functional principal component analysis (SFPCA), which is performed by applying an isometric isomorphism between the space of density functions, i.e., the Bayes space B 2 , and the space of square integrable functions L 2 . A simulation study shows the enhanced monitoring performances provided by the SFPCA-based profile monitoring against other competitors proposed in the literature. Eventually, a real case study dealing with the quality control of foamed materials production is discussed, to highlight a practical use of the proposed methodology.

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Additive manufactured porous titanium structures: Through-process quantification of pore and strut networks

Abstract: 14.10.14 KB. Ok to add published version to spiral, OA paper under cc licens

Cited by 116 publications

References 24 publications

Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser melting

Influence of processing conditions on strut structure and compressive properties of cellular lattice structures fabricated by selective laser melting

Development of porous Ti6Al4V/chitosan sponge composite scaffold for orthopedic applications

Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

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