Analytische Chemie
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In the current work a 3D model has been developed to predict the thermal cycles during the Tungsten Inert Gas welding of Aluminum 2219. This paper describes the step by step procedure adopted to get the actual cooling rate during the TIG welding process both experimentally and numerically. The model was developed in the COMSOL Finite Element Package and considered a Gaussian heat distribution. The developed model then validated using the experimental data collected in field experiments on actual large propellant tanks. Temperature measurements were performed using Infrared Camera. Results show a close comparison between model and experiment.
The combination of tomographic, microstructural data with other experimental techniques and with modeling is paramount, if we want to extract the maximum amount of information on material and component properties. In particular, quantitative image analysis, statistical approaches, direct discretization of tomographic reconstructions represent concrete possibilities to extend the power of the tomographic 3D representation to insights into the material and component performance. This logic thread equally holds for industrial and academic research, and valorizes expensive experiments such as those carried out at synchrotron sources, which cannot be daily repeated.
I will show a few examples of possible use of X-ray tomographic data for quantitative assessment of damage evolution and microstructural properties, as well as for non-destructive testing. Examples of micro-structured inhomogeneous materials will be given, such as Composites, Ceramics, Concrete, and Additively manufactured parts. I will also show how X-ray refraction computed tomography (CT) can be highly complementary to classic absorption CT, being sensitive to internal interfaces.
Additionally, I will present a new technique in our portfolio, Neutron Diffraction, which is extremely well suited to the study of internal stresses, both residual and under external load.