in situ mechanical testing
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MRS Advances ◽  
2021 ◽  
Author(s):  
Lilian Maria Vogl ◽  
Peter Schweizer ◽  
Gunther Richter ◽  
Erdmann Spiecker

Abstract Size effects decisively influence the properties of materials at small length scales. In the context of mechanical properties, the trend of ‘smaller is stronger’ has been well established. This statement refers to an almost universal trend of increased strength with decreasing size. A strong influence of size on the elastic properties has also been widely reported, albeit without a clear trend. However, the influence of nanostructure shape on the mechanical properties has been critically neglected. Here, we demonstrate a profound influence of shape and size on the elastic properties of materials on the example of gold nanowires. The elastic properties are determined using in-situ mechanical testing in scanning and transmission electron microscopy by means of resonance excitation and uniaxial tension. The combination of bending and tensile load types allows for an independent and correlative calculation of the Young's modulus. We find both cases of softening as well as stiffening, depending critically on the interplay between size and shape of the wires. Graphic abstract


Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3473
Author(s):  
Jutta Luksch ◽  
Anne Jung ◽  
Christoph Pauly ◽  
Ralf Derr ◽  
Patrick Gruenewald ◽  
...  

Nickel(Ni)/aluminium(Al) hybrid foams are Al base foams coated with Ni by electrodeposition. Hybrid foams offer an enhanced energy absorption capacity. To ensure a good adhering Ni coating, necessary for a shear resistant interface, the influence of a chemical pre-treatment of the base foam was investigated by a combination of an interface morphology analysis by focused ion beam (FIB) tomography and in situ mechanical testing. The critical energy for interfacial decohesion from these microbending fracture tests in the scanning electron microscope (SEM) were contrasted to and the results validated by depth-resolved measurements of the evolving stresses in the Ni coating during three-point bending tests at the energy-dispersive diffraction (EDDI) beamline at the synchrotron BESSY II. Such a multi-method assessment of the interface decohesion resistance with respect to the interface morphology provides a reliable investigation strategy for further improvement of the interface morphology.


Author(s):  
Michael G. Chapman ◽  
Megna N. Shah ◽  
Sean P. Donegan ◽  
J. Michael Scott ◽  
Paul A. Shade ◽  
...  

AbstractHigh-energy diffraction microscopy (HEDM) in-situ mechanical testing experiments offer unique insight into the evolving deformation state within polycrystalline materials. These experiments rely on a sophisticated analysis of the diffraction data to instantiate a 3D reconstruction of grains and other microstructural features associated with the test volume. For microstructures of engineering alloys that are highly twinned and contain numerous features around the estimated spatial resolution of HEDM reconstructions, the accuracy of the reconstructed microstructure is not known. In this study, we address this uncertainty by characterizing the same HEDM sample volume using destructive serial sectioning (SS) that has higher spatial resolution. The SS experiment was performed on an Inconel 625 alloy sample that had undergone HEDM in-situ mechanical testing to a small amount of plastic strain (~ 0.7%), which was part of the Air Force Research Laboratory Additive Manufacturing (AM) Modeling Series. A custom-built automated multi-modal SS system was used to characterize the entire test volume, with a spatial resolution of approximately 1 µm. Epi-illumination optical microscopy images, backscattered electron images, and electron backscattered diffraction maps were collected on every section. All three data modes were utilized and custom data fusion protocols were developed for 3D reconstruction of the test volume. The grain data were homogenized and downsampled to 2 µm as input for Challenge 4 of the AM Modeling Series, which is available at the Materials Data Facility repository.


JOM ◽  
2021 ◽  
Author(s):  
Yichun Tang ◽  
Kangning Su ◽  
Ruyi Man ◽  
Michael C. Hillman ◽  
Jing Du

2020 ◽  
Vol 26 (S2) ◽  
pp. 640-641
Author(s):  
Janelle Wharry ◽  
Priyam Patki ◽  
George Warren ◽  
Patrick Warren ◽  
Haozheng Qu ◽  
...  

2020 ◽  
Author(s):  
T. Byun ◽  
R. Dehoff ◽  
M. Gussev ◽  
K. Terrani

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