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The in situ analysis of the damage evolution in a metal Matrix composite (MMC) using synchrotron X-ray refraction radiography (SXRR) is presented. The investigated material is an Al alloy (6061)/10 vol% Al2O3 MMC after T6 heat treatment.
In an interrupted tensile test the gauge section of dog bone-shaped specimens is imaged in different states of tensile loading. On the basis of the SXRR images, the relative change of the specific surface (proportional to the amount of damage) in the course of tensile loading was analyzed. It could be shown that the damage can be detected by SXRR already at a stage of tensile loading, in which no Observation of damage is possible with radiographic absorption-based imaging methods.
Moreover, the quantitative analysis of the SXRR images reveals that the amount of damage increases homogeneously by an average of 25% with respect to the Initial state. To corroborate the experimental findings, the damage distribution was imaged in 3D after the final tensile loading by synchrotron X-ray refraction computed tomography (SXRCT) and absorption-based synchrotron X-ray computed tomography (SXCT). It could be evidenced that defects and damages cause pronounced indications in the SXRCT images.
Microstructural changes in porous cordierite for diesel particulate filter applications caused by machining were characterized using microtensile testing and X-ray computed tomography (XCT). Young’s modulus was determined on ~215-380 m thick machined samples by digital image correlation. Results show a decrease of Young’s modulus due to machining of the thin samples. Explanation of this phenomenon was provided by XCT: the presence of debris due to machining and the variation of porosity due to removal of the outer layers were quantified and correlated with the introduction of further microcracking.
The present work offers an explanation for the variation of the power-law stress exponent, n, with the stress r normalized to the shear modulus G in aluminum alloys. The approach is based on the assumption that the dislocation structure generated with deformation has a fractal nature. It fully explains the evolution of n with r/G even beyond the so-called power law breakdown region. Creep data from commercially pure Al99.8%, Al-3.85%Mg, and ingot AA6061 alloy tested at different temperatures and stresses are used to validate the proposed ideas. Finally, it is also shown that the fractal description of the dislocation structure agrees well with current knowledge.
During the last decades, X-ray (micro-)computed tomography has gained increasing attention for the description of porous skeletal and shell structures of various organism groups. However, their quantitative analysis is often hampered by the difficulty to discriminate cavities and pores within the object from the surrounding region. Herein, we test the ambient occlusion (AO) algorithm and newly implemented optimisations for the segmentation of cavities (implemented in the software Amira). The segmentation accuracy is evaluated as a function of (i) changes in the ray length input variable, and (ii) the usage of AO (scalar) field and other AO-derived (scalar) fields. The results clearly indicate that the AO field itself outperforms all other AO-derived fields in terms of segmentation accuracy and robustness against variations in the ray length input variable. The newly implemented optimisations improved the AO field-based segmentation only slightly, while the segmentations based on the AOderived fields improved considerably.
Additionally, we evaluated the potential of the AO field and AO-derived fields for the separation and classification of cavities as well as skeletal structures by comparing them with commonly used distance-map-based segmentations. For this, we tested the zooid separation within a bryozoan colony, the stereom classification of an ophiuroid tooth, the separation of bioerosion traces within a marble block and the calice (central cavity)-pore separation within a dendrophyllid coral. The obtained results clearly indicate that the ideal input field depends on the three-dimensional morphology of the object of interest. The segmentations based on the AO-derived fields often provided cavity separations and skeleton classifications that were superior to or impossible to obtain with commonly used distance-map-based segmentations. The combined usage of various AO-derived fields by supervised or unsupervised segmentation algorithms might provide a promising target for future research to further improve the results for this kind of high-end data segmentation and classification. Furthermore, the application of the developed segmentation algorithm is not restricted to X-ray (micro-)computed tomographic data but may potentially be useful for the segmentation of 3D volume data from other sources.
Additive Manufacturing (AM) enables the unique capability of building highly complex parts with integrated functional design. One particular advantageous design feature is known as lattice structures, which provide opportunities for innovative applications in the high-temperature regime of gas turbines. Generally, manufacturing of these structures is already known to be achievable with AM, however proof of structural integrity and geometrical accuracy is not yet reliably established.
In this investigation, a systematic design-follows-complexity approach is utilized to pursue a holistic assessment of Ni based high temperature lattice. As the major element of lattice structures, single struts of different build orientations are investigated at first. This approach includes the application of Computed Tomography (CT), which allows for a non destructive assessment of quality criteria such as porosity and inner geometries as well as the parts’ metrology at a micrometre scale. The applied laboratory CT benefits from high magnification factors around 100 and voxel sizes down to a thousandth of the specimens’ diameter.
Preliminary results show a correlation between the inclination angle and the struts’ quality, which indicate a dependency of geometrical accuracy and structural properties to the AM process setup. Consequently, lattice structures require the development of reliable manufacturing to produce dependable characteristics.
While there is large potential for use of lattice structures in gas turbine and high temperature applications, the results indicate the strong need for an increased understanding of manufacturing and design as well as of the validation methods for these complex lattice structures.
The layer-by-layer Additive Manufacturing (AM) by means of Selective Laser Melting (SLM) offers many prospects regarding the design of a part used in aeroplane components and gas turbines. However, structural deviations from the nominal morphology are unavoidable. The cooling of the finished part leads to shrinkage and a high surface roughness is induced by attached powder particles affecting the part volume too.
The integrity and load-bearing capacity of a SLM produced lattice structure has been investigated by means of in-situ X-ray computed tomography during compression. The lattice structure was compressed by 10 % in height with an applied maximum force of 5 kN. Additionally, a single strut has been investigated ex-situ as a component of the lattice structure. With the higher resolution achieved on the single strut, the pore distribution (size and location) as well as the surface roughness were assessed. The particle and pore size distribution of the raw powder have been investigated, too. One of the main results coming from the in-situ analysis was that the nodes were identified as the weakest points in the lattice structure.
The layer-by-layer Additive Manufacturing (AM) by means of Selective Laser Melting (SLM) offers many prospects regarding the design of a part used in aeroplane components and gas turbines. However, structural deviations from the nominal morphology are unavoidable. The cooling of the finished part leads to shrinkage and a high surface roughness is induced by attached powder particles affecting the part volume too.
The integrity and load-bearing capacity of a SLM produced lattice structure (see Fig.1) has been investigated by means of in-situ X-ray computed tomography during compression. The lattice structure was compressed by 10 % in height with an applied maximum force of 5 kN. Additionally, a single strut has been investigated ex-situ as a component of the lattice structure. With the higher resolution achieved on the single strut, the pore distribution (size and location) as well as the surface roughness were assessed. One of the main results coming from the in-situ analysis was that the nodes were identified as the weakest points in the lattice structure.
BACKGROUND CONTEXT: Targeted delivery of osteoinductive bone morphogenetic Proteins (eg, GDF5) in bioresorbable calcium phosphate cement (CPC), potentially suitable for vertebroplasty and kyphoplasty of osteoporotic vertebral fractures, may be required to counteract augmented local bone catabolism and to support complete bone regeneration. The biologically optimized GDF5 Mutant BB-1 may represent an attractive drug candidate for this purpose.
PURPOSE: The aim of the current study was to test an injectable, poly (l-lactide-co-glycolide) acid (PLGA) fiber-reinforced, brushite-forming CPC containing low-dose BB-1 in a sheep lumbar osteopenia model.
STUDY DESIGN/ SETTING: This is a prospective experimental animal study.
METHODS: Bone defects (diameter 5 mm) were generated in aged, osteopenic female sheep and were filled with fiber-reinforced CPC alone (L4; CPC+fibers) or with CPC containing different dosages.
During Rutherford cable production the wires are plastically deformed and their initially round shape is distorted. Using X-ray absorption tomography we have determined the 3D shape of an unreacted Nb3Sn 11 T dipole Rutherford cable, and of a reacted and impregnated Nb3Sn cable double stack. State-of-theart image processing was applied to correct for tomographic artefacts caused by the large cable aspect ratio, for the segmentation of the individual wires and subelement bundles inside the wires, and for the calculation of the wire cross sectional area and shape variations. The 11 T dipole cable cross section oscillates by 2% with a frequency of 1.24 mm (1/80 of the transposition pitch length of the 40 wire cable). A comparatively stronger cross sectional area variation is observed in the individual wires at the thin edge of the keystoned cable where the wire aspect ratio is largest.
Thermoelectric properties of doubly substituted La0.95Sr0.05Co1-xCrxO3 (0 ≤ x ≤ 0.5) ceramics
(2018)
Dense La0.95Sr0.05Co1-xCrxO3 (0 ≤ x ≤ 0.5) ceramics were synthesized by solid-state reaction and conventional sintering. Room-temperature crystal structure and microstructure were investigated and the thermoelectric properties were measured in the temperature range 323 K – 1020 K. All compositions are single phase with rhombohedral structure, and the lattice parameter of La0.95Sr0.05Co1-xCrxO3 increases with increasing Cr content.
La0.95Sr0.05Co1-xCrxO3 is a p-type small polaron conductor. The charge carrier concentration is determined by both substitution of La3+ with Sr2+ and thermally-activated charge disproportionation of Co3+ and / or Cr3+. Above 550 K, the substitution of Co with Cr increases the Seebeck coefficient and reduces the electrical conductivity. Below 550 K, the trend of Seebeck coefficient with Cr content is not clear due to the thermally activated charge disproportionation. At low temperature, the electrical conductivity shows a minimum with Cr content of x = 0.4, as a result of trapped polarons in the Cr sites. By substituting Co with Cr, the power factor below 800 K is reduced and that above 800 K is improved.
The thermal conductivity is effectively reduced by doping Cr. The highest ZT value of 0.053 at 373 K is achieved for x = 0, but it decreases rapidly with increasing temperature. Substitution of Co with Cr can effectively improve the ZT values at high temperatures. In the temperature range 700 K – 1000 K, ZT increases with increasing Cr content, the highest being 0.04 at 1000 K for the composition with x = 0.5, more than 4 times the value of the La0.95Sr0.05CoO3 compound.