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Hydrogen in metals can cause a degradation of the mechanical properties with possible subsequent hydrogen assisted cracking (HAC). Though, the mechanism of HAC is not completely understood yet and thus suitable methods for in situ investigations to characterise the crack formation are needed. X-ray computed tomography (CT) is a well-known tool for analysing these properties. However, the effective resolution of the detector system limits the detection of small defects by CT. Analyser based imaging (ABI) takes advantage of x-ray refraction at interfaces between volumes of different density, i.e. of cracks, pores, inclusions, etc., within the sample to detect defects smaller than the resolution of the detector system. In this study, measurements on an aluminium alloy weld showed that ABI allows us to resolve the 3D structure of cracks undetected by absorption based CT. Prospective investigations will analyse HAC in steels.
The objective of this work is to find a method that describes the degree of damage from an impact experiment. This experiment was performed on Composite Pressure Vessels (CPV) in order to find the correlation of impact damage to the residual burst pressure. Computed Tomography (CT) approach was used to capture the before and after impact condition of the CPVs. The Wasserstein function was used to calculate how much the after impact image has differed from the original one. In the end, a good correlation was obtained to the residual burst pressure.
The objective of this work is to find a method that describes the degree of damage from an impact experiment. This experiment was performed on Composite Pressure Vessels (CPV) in order to find the correlation of impact damage to the residual burst pressure. Computed Tomography (CT) approach was used to capture the before and after impact condition of the CPVs. The Wasserstein function was used to calculate how much the after impact image has differed from the original one. In the end, a good correlation was obtained to the residual burst pressure. The smaller the Wasserstein distance is, the higher the residual burst pressure would be and vice versa.
Laser powder bed fusion (L-PBF) is one of the most promising additive manufacturing (AM) technologies for the production of complex metallic real part components. Due to the multitude of factors influencing process conditions and part quality and due to the layer-wise characteristic of the process, monitoring of process signatures seems to be mandatory in case of the production of safety critical components. Here, the iterative process nature enables unique access for in-situ monitoring during part manufacture. In this talk, the successful test of the synchronous use of a high-frequency infrared camera and a camera for long time exposure, working in the visible spectrum (VIS) and equipped with a near infrared filter (NIR), will be introduced as a machine manufacturer independent thermal detection monitoring set-up. Thereby, the synchronous use of an infrared camera and a VIS NIR camera combines the advantages of high framerate and high spatial resolution. The manufacture of a 316L stainless steel specimen, containing purposely seeded defects and volumes with forced changes of energy inputs, was monitored during the build. The measured thermal responses are analysed and compared with a defect mapping obtained by micro X-ray computed tomography (CT).
The first results regarding methods for data analysis, derived correlations between measured signals and detected defects as well as sources of possible data misinterpretation are presented in this talk.
Data processing is an essential part of the evaluation of measurement results, e.g. in X-ray computed tomography
(CT). Some of these calculations are denoted as 'filtering'. Filtering is always a trade-off between an enhancement
of data quality and a loss of information. The standard reconstruction technique for CT data is t he filtered
back-projection. Additionally to the high-pass filter inherent to this technique, a suppression of high-frequency
noise is in most cases also necessary. Many different possible filter algorithms are found in the literature. Although
their effect on the signal-to-noise ratio and the spatial resolution is well-studied, it is not obvious how the
different filters affect the determination of the object's surface in the reconstructed data and, thus, the results of
dimensional CT measurements. We compare the results of industrial dimensional CT measurements obtained at
the same data set of a calibrated reference standard – a calotte cube – when using different filters and discuss the
implications. Filters under investigation are mainly median filters on projections and as well filters during filtered
backprojection and filters on the reconstructed volume.
This presentation includes the results of a number of case studies of concrete properties using computed tomography (CT) in combination with various in-situ testing techniques, including those of mechanical loading, water transport, and fire. The results of these case studies demonstrate the potential of CT as an approach for obtaining unique, quantitative data about the structure of materials. This data can serve as the basis for calibrating and validating a new generation of numerical models that have a stronger foundation in micromechanical theory. This will contribute to the development of more accurate and versatile simulation approaches for concrete and other building materials.