EUROPEAN CONGRESS AND EXHIBITION ON ADVANCED MATERIALS AND PROCESSES - EUROMAT 2021

Nanomaterials are important for a wide range of applications because of their unique properties, which are strongly connected to their three-dimensional (3D) structure. Electron tomography has therefore been used in an increasing number of studies. However, the increasing complexity of nanomaterials has driven the development of even more advanced 3D characterization techniques, which will be...

Even trace amounts of impurity atoms can greatly influence the structural and functional properties of Materials. Applications of this effect range from doping of semiconductors to strengthening of alloys. One important research topic for these applications is the temperature dependent bulk diffusion of impurity atoms in their host lattice. While this has been studied in great detail using...

High-entropy alloys (HEAs) are a new class of materials exhibiting a superior combination of magnetic, mechanical and electrical properties. FeNiCoAlMn is a promising candidate for a soft magnet, important for applications in electrical systems such as power generation and electromagnets. However, the high entropy effect is partially true, since other thermodynamic properties can also play a...

Nanomaterials with well-controllable structure are of particular interest in many fields of research, and knowledge on their formation mechanism and structural evolution is essential for developing precise chemical synthesis routes. Complementing the capabilities of liquid-cell transmission electron microscopy (TEM), we can use X-ray ptychography, a scanning coherent diffraction imaging (CXDI)...

CuNiFe alloys have shown to be promising materials in terms of manipulating magnetic properties by controlling their microstructure. Despite extensive research activities for several decades now, the relationship between the evolution of the microstructure and its magnetic properties still remains to be fully explored. In this study, we investigate a spinodally decomposed CuNiFe alloy, using...

Micromechanical behavior of the dual phase silicon stainless steel alloys during tensile testing has been studied using in-situ electron backscattered diffraction (EBSD). The texture development alongwith the effect of strain on the grain orientation has been studied individually for both the phases. The changes in the grain orientation have been characterized by the inverse pole figure. In...

Mechanical properties of metallic material can be predicted as a function of their microstructure by constitutive laws [1]. One of the key microstructural parameters, which is often difficult to precisely characterize, is the dislocation density.

For the metallurgical community, there is a need for more representative measurements in order to better describe the mechanical behavior of such...

Understanding the relationship between microstructure and properties is a necessary step for the improvement of existing materials or the development of new materials. The microstructure can be characterised using orientations maps, from which information like grain size distribution and deformation state can be extracted.

Apart from EBSD (Electron Backscattered Diffraction), a promising...

During laser Additive Manufacturing (AM), a just deposited material undergoes melt-pool dynamics and rapid solidification within a few milliseconds. Then, for the rest of the process, it undergoes cyclic re-heating and cooling in the solid-state i.e., Solid-State Thermal Cycling (SSTC), until the end of the AM process. These non-equilibrium processes result in the formation of metastable...

During an alloy Additive Manufacturing (AM) process, just after the melting of feedstock, the molten material undergoes melt-pool dynamics and rapidly solidifies (typically, within a few milliseconds). Then, for the remaining build time, it undergoes multiple heating-cooling cycles in the solid-state, i.e. Solid-State Thermal Cycling (SSTC) or intrinsic heat treatment, at varying temperature...

Alloy Additive Manufacturing (AM) results in the formation of metastable hierarchical microstructures due to the highly non-equilibrium processes that occur during fabrication. Currently, most experimental/modeling efforts are aimed at studying the role of melt-pool dynamics and rapid solidification on the microstructure formation during AM. We are interested in studying the microstructure...

Light alloys based on aluminum are an exceptionally versatile class of materials. They combine low weight and corrosion resistance with adjustable material properties, tunable by alloying with other materials or by subjecting them to accurately defined temperature treatments.
A popular approach is the strengthening of alloys formed from aluminum and copper by age- or precipitation hardening:...

The rise of in situ and in operando techniques for experiments in transmission electron microscopes has opened the door to powerful high-resolution analyses of dynamic processes at the nanoscale. To interpret the results, but also to be able to extrapolate and correlate them to macroscopic properties of a studied material, a precise knowledge of the experimental conditions is crucial....

95% of non-ferrous/ferrous metals and alloys are processed by strip rolling, arguably the most important metal forming process. Various models have been developed to optimize the multi-pass deformation process, yet further model advancement requires direct, accurate in-situ measurement of the full deformation and strain fields of the strip between the rolls. Standard (Local) DIC algorithms...

Atomic-resolution imaging with a spherical aberration-corrected scanning transmission electron microscope (STEM) is now widely used for the study of interesting, complex material systems. This is owed both to the flexibility in detecting the electrons scattered off from matter, but also to the improved efficiency in collecting spectroscopic signals. Different variants of bright and dark-field...

Investigating and analyzing materials - especially comprising light elements - at both high spatial and spectral resolution has always been a challenge requiring sophisticated equipment such as UHV Auger microprobe systems or transmission electron microscopes equipped with an electron energy loss spectrometer. Moreover, these methods need advanced sample preparation techniques and are only...

The focus of this talk is to present both the fundamental and practical limitations of the emerging technique of correlative Raman-SEM-EDX microscopy and to introduce the benefits of this technique using concrete project examples.
Recent years have seen the introduction of commercially available systems that integrate fully capable Raman microscopes with scanning electron microscopes (SEM)....

MAX phases are a highly anisotropic material, giving rise to a large variation in their properties depending on orientation of the crystal lattice. Typically, orientation can be determined through Electron Backscatter Diffraction (EBSD), is a powerful technique with very high spatial resolution and the ability to determine strain in a crystal structure. However, it requires a high level of...

Besides being the first commercial platform with corrector(s), first generation Titan was capable of high tension range from 300 kV down to 80 kV. Thanks to bifilar coil design, swift mode switches at a certain high tension operation was achieved. Since then, market expectations have moved forward and current S/TEMs can go down to 30 kV with stability achieved over a couple of hours. This...

Due to their direct bandgap, GeSn and SiGeSn alloys have aroused great interest for photonic applications [1]. To understand and control the emission properties of GeSn heterostructure based devices developed at CEA (Fig. 1a), the chemical composition at nanometer scale must be accurately determined. One particular challenge is to accurately quantify the composition of 20 nm thick...

Tread rubber requires wet-grip performance and low-rolling resistance for low fuel consumption. To modify the mechanical properties of the rubber suitable for the tread, dispersion of silica nanoparticles in the rubber is effective. It is believed that the silica nanoparticles connect with the rubber by forming covalent bonds via the silane coupling agent (SCA) and that the amount of the...

Recently, it was shown that scanning transmission electron microscopy (STEM) in combination with electron energy loss spectroscopy (EELS) allows for a real-space mapping of atomic orbitals [1]. Although state of the art electron microscopes offer the required spatial- and energy resolution, the inherently poor signal-to-noise ratio (SNR) for such experiments imposes a major challenge, which...

Introduction
The application of nanoCT for biological sample screening, however, remains limited due to very low intrinsic contrast of soft tissue, which means that soft tissues does not appear on regular X-ray. However, the utilization of different contrast agents can aid in visualize such soft tissue structures. Here we will present some recent advances in X-ray enhancement agents used on...

Polymorphism represents the ability of materials to crystallize into different forms. These crystal forms are called polymorphs and show different physical properties. It has been reported that some new polymorphic forms could only form near a solid substrate and are called substrate-induced polymorphs (SIPs). Recently, SIPs of organic molecules have drawn increasing attention since they can...

Scanning electron microscopy (SEM) and atomic force microscopy (AFM) are two of the most used, complementary techniques for surface analysis at the nanoscale. Thus, combining them by integrating a compact AFM into SEM brings novel possibilities for true correlative imaging and advanced multi-modal sample characterization that would be often unfeasible using each imaging modality...

Recent advances in Artificial Intelligence (AI) have helped researchers of various fields develop fast, intelligent and reliable tools which can automate manual processes, save time and reduce user bias in the results. We present two real-world use cases of Artificial Intelligence and Computer Vision which were proven to provide trustfull results. The first use case refers to a methodology for...