Preface

The Fourth international conference “Shape Memory Alloys” (SMA 2021) continues the tradition of regular scientific events on shape memory alloys held in various cities of the Soviet Union: Kiev (1980, 1991), Voronezh (1982), Tomsk (1985), Novgorod (1989), Kosov (1991), St. Petersburg (1995). These days, the First conference “Shape Memory Alloys: properties, technologies, and prospects” was held in 2014 in Vitebsk (Belarus), the Second one – in 2016 in St. Petersburg, the Third one – in 2018 in Chelyabinsk. The aim of the conference is to review modern research and development directions in the field of shape memory alloys and related phenomena: from studying their structure, physical, mechanical, and functional properties to mathematical modeling of the shape memory materials’ behavior and their applications. The conference schedule comprised oral and poster presentations in the framework of three parallel sections: • Structure, martensitic transformations and shape memory effects in alloys. • The theory of martensitic transformations and shape memory effect: modeling and calculations. • Novel materials. The manufacturing technology and application of shape memory alloys. Editors of Proceedings: Sergey Prokoshkin, Natalia Resnina, Sergey Dubinskiy, Yulia Zhukova, Vadim Sheremetyev, Victor Komarov, Kristina Polyakova List of Organizers, Program committee, Local Organizing Committee are available in this pdf.

Solar Light Photoactive Floating Polyaniline/TiO2 Composites for Water Remediation

In the present study, the development of innovative polyurethane-polyaniline/TiO2 modified floating materials applied in the sorption and photodegradation of rhodamine B from water matrix under solar light irradiation is reported. All the materials were fabricated with inexpensive and easy approaches and were properly characterized. The effect of the kind of polyaniline (PANI) dopant on the materials’ behavior was investigated, as well as the role of the conducting polymer in the pollutant abatement on the basis of its physico-chemical characteristics. Rhodamine B is removed by adsorption and/or photodegradation processes depending on the type of doping agent used for PANI protonation. The best materials were subjected to recycle tests in order to demonstrate their stability under the reaction conditions. The main transformation products formed during the photodegradation process were identified by ultraperformance liquid chromatography-mass spectrometry (UPLC/MS). The results demonstrated that photoactive floating PANI/TiO2 composites are useful alternatives to common powder photocatalysts for the degradation of cationic dyes.

Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges

In the design and development of novel materials that have excellent mechanical properties, classification and regression methods have been diversely used across mechanical deformation simulations or experiments. The use of materials informatics methods on large data that originate in experiments or/and multiscale modeling simulations may accelerate materials’ discovery or develop new understanding of materials’ behavior. In this fast-growing field, we focus on reviewing advances at the intersection of data science with mechanical deformation simulations and experiments, with a particular focus on studies of metals and alloys. We discuss examples of applications, as well as identify challenges and prospects.

Analysis of Nucleation and Glass Formation by Chip Calorimetry

The advent of chip calorimetry has enabled an unprecedented extension of the capability of differential scanning calorimetry to explore new domains of materials behavior. In this paper, we highlight some of our recent work: the application of heating and cooling rates above 104 K/s allows for the clear determination of the glass transition temperature, Tg, in systems where Tg and the onset temperature for crystallization, Tx, overlap; the evaluation of the delay time for crystal nucleation; the discovery of new polyamorphous materials; and the in-situ formation of glass in liquid crystals. From these application examples, it is evident that chip calorimetry has the potential to reveal new reaction and transformation behavior and to develop a new understanding.

Fundamental Material Characteristics of Traditional Windows Components as an Input for the Resilience Increasing

The aim of the paper is to make an overview of standard windows system used in Slovak Republic. The investigation of the most common traditional wooden window is presented in this paper as a representative sample. These parts of building facades are the most vulnerable areas due to dynamic impact loads. Identification of the basic materials behavior is necessary for effective design of window system resilience. This research is divided to analysis of mechanical properties of components, their connections and boundary conditions. Research in this specific area helps to improve safety against unexpected extreme dynamic load such as explosions and shock impacts.

Deep learning model to predict complex stress and strain fields in hierarchical composites

Materials-by-design is a paradigm to develop previously unknown high-performance materials. However, finding materials with superior properties is often computationally or experimentally intractable because of the astronomical number of combinations in design space. Here we report an AI-based approach, implemented in a game theory–based conditional generative adversarial neural network (cGAN), to bridge the gap between a material’s microstructure—the design space—and physical performance. Our end-to-end deep learning model predicts physical fields like stress or strain directly from the material microstructure geometry, and reaches an astonishing accuracy not only for predicted field data but also for derivative material property predictions. Furthermore, the proposed approach offers extensibility by predicting complex materials behavior regardless of component shapes, boundary conditions, and geometrical hierarchy, providing perspectives of performing physical modeling and simulations. The method vastly improves the efficiency of evaluating physical properties of hierarchical materials directly from the geometry of its structural makeup.

Crystal plasticity in shock-compressed hcp-iron

<p>Iron is a key constituent of planetary core and an important technological material. Here, we combine <em>in situ</em> ultrafast X-ray diffraction at free electron lasers with optical-laser-induced shock compression experiments on polycrystalline Fe to study the plasticity of hexagonal close-packed (hcp)-Fe under extreme loading states. We identifiy the deformation mechanisms that controls the Fe microstructures and  observe a significant time-evolution of stress over the few nanoseconds of the experiments. These observations illustrate how ultrafast plasticity studies can reveal distinctive materials behavior under extreme loading states and will help constraining the pressure, temperature, and strain rate dependence of materials behavior in planetary cores.</p>

Research of Al2O3 and SiO2 fibers based heat protective materials behavior of based under the effect of concentrated solar energy flux

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