Completed events
In manufacturing engineering, material processing involves a complex series of chemical, thermal and physical processes that transform a raw material into an end product. The purpose of material processing is to optimize the microstructures necessary for the product to perform well in its intended application. Changes in microstructure can be induced in almost all engineering metals and alloys in order to alter their properties (mechanical, electrical, thermal). Sometimes combinations of mechanical and thermal treatments are used (i.e. thermomechanical treatments) to introduce properties that cannot be achieved by other means. An understanding of the phase transformation in metallic alloy systems, dislocation arrangements and their interactions, grain boundary engineering and various metallurgical mechanisms is required in order to be able to infer the development of microstructures that occur during a process.
This talk presents some important aspects of understanding the relationship between process, microstructure and properties of engineering materials during manufacturing of components..

Ritwik Basu is a faculty member with the School of Metal Construction Skills at the Bhartiya Skill Development University, in India. He obtained his doctoral degree from Indian Institute of Technology (IIT) Bombay in the field of Metallurgical Engineering and Materials Science. He was a visiting researcher in Imperial College London, UK and a postdoc researcher at University of Saskatchewan, Canada.

His specialization relates to studying the behavior of metal and alloy systems during processing and post-processing stages from a microstructural perspective. His research portfolio over the past 8 years has been focused on studying microstructure-property-processing relationship in engineering materials.
Alumina is one of the promising ceramic materials for a wide range of applications due to the combination of its high hardness, heat and chemical resistance. These qualities of alumina can be fully used only with a fine-grained structure of this ceramics.
There are at least two effective approaches to obtain a fine-grained structure in alumina-based ceramics: application of additives and using of well-controlled sintering techniques like Spark Plasma Sintering (SPS).
There are a lot of articles about SPS of alumina ceramics, but none of them provides a thorough analysis of the sintering kinetics of each of the stages of the sintering process and the investigation of the role of the additives at each of these stages.
Thus, SPS of alumina will be discussed.

Maksim Boldin is the Head of the Ceramic Technology Lab at Research and Development Institute of Physics and Technology, National Research Lobachevsky State University (Nizhny Novgorod, Russia).
The presentation will cover various problems related to wave propagation in complex media, dynamic fracture of quasibrittle materials, optimization of energy input for fracture, seismic protection. Majority of the results to be presented are based on numerical simulations implementing novel computational techniques and new criteria for fracture and other phase transformations. It will be demonstrated that utilizing the developed approach it is possible to successfully predict initiation, evolution and arrest of dynamic fracture in quasibrittle media loaded by dynamic impact or explosive loads. Other examples will include development of novel seismic protection systems, based on seismic barriers and seismic metamaterials.

Dr. Vladimir Bratov graduated from St. Peterburg State University, Department of Elasticity year 2000. 2000-2007 he was working at Malmo University Sweden as a PhD student and postdoctoral researcher. He received his PhD degree in 2004 in mechanics of materials. Since 2008 Vladimir Bratov is working at the Institute of Problems in Mechanical Engineering of the Russian Academy of Sciences as a senior researcher. Since 2009 he is teaching several undergraduate and postgraduate courses in Fracture Mechanics and Computational Mechanics at St. Peterburg State University and Peter the Great St. Petersburg Polytechnic University. 2016-2017, as a visiting professor he also worked at Mile East Technical University. Major collaborations include Keele University, UK, Manchester University, UK,
Novo Mesto University, Slovenia, IPM RAS, Moscow, Gazprom-Neft company, Gazprom company, Russian Railways company.
The presentation will consider approaches to modeling various stages of the technological process for composite materials with a thermosetting matrix. Methods for modeling such processes as draping, determining the permeability of a reinforcing fabric, impregnation, polymerization, and predicting residual deformations are presented. Also presented are virtual test benches for standard mechanical testing of samples of composite materials, a methodology for developing mathematical models of such materials.

Dr. Mikhail Kiauka graduated from the Kazan State Technical University named after Tupolev in 2010 and defended a diploma with a degree in «Rocket Engines». He finished postgraduate studies and passed Ph.D. defense in 2013. He is a Ph.D. in Technical Sciences degree. In the period of work on the dissertation research, he mainly worked on with the issues of heat transfer in aircrafts and aircraft design. Since 2013 and to the present day I have been doing composite structures analysis and thermal analysis by analytical and numerical methods. In 2015 the internship at RWTH Aachen University within three months allowed to get experience of research work in a European university. Since 2019 he has been working at Peter the Great St. Petersburg Polytechnic University.
Detonation in reactive gaseous mixtures represents a highly nontrivial phenomenon due to the coupling between exothermic chemical reactions and propagation of gas dynamical shocks. In this presentation, the influence of the periodically varying conditions ahead of the detonation wave is analyzed with various tools from dynamical systems theory. It is found that the speed of the wave varies similarly to the forced nonlinear oscillations and its behavior has some universal properties. The effect of mode-locking and appearance of devil’s staircase and Arnold tongues are demonstrated. These results can provide useful insights in fundamental physics and control of the detonation propagation in new types of reactive engines and spraying processes.

Andrei Goldin is a 3rd year PhD student in CMT, Skoltech. He graduated from Novosibirsk State University, Department of Mechanics and Mathematics, in 2019. Under supervision of prof. Kasimov, he studies detonation physics and recent research results can be found in A. R. Kasimov and A. Yu. Goldin, “Resonance and mode locking in gaseous detonation propagation in a periodically non-uniform medium,” Shock Waves, vol. 31, no. 8, pp. 841–849, 2021, doi: 10.1007/ s00193-021-01049-z.
Additive manufacturing (AM) of high-entropy alloys (HEAs) is a new challenge in the Material Science and Advanced Manufacturing fields. In the AM processing procedure, heat treatments after fabrication are often beneficial to stabilize microstructure and properties, while limited reports are available for AM HEAs. In the presented study, the effect of a post-printing heat treatment at 400–1000 ℃ for 24 h and for 21 days on the changes in structures and phase compositions of an AM CrFeCoNi alloy prepared by the laser powder bed fusion AM technique is presented to better understand a heat treatment-microstructure-property relationship of the AM HEA. Heating up to 600 ℃ demonstrated the polygonization process in the alloy. Grain growth was observed in the alloy upon heating over 700 ℃, while a preferred texture is observed along the build direction after annealing at 900 ℃ for 24 h. The formation of the secondary phase was revealed, and it is associated with the impurities of the initial CrFeCoNi powder. The AM CrFeCoNi system demonstrates excellent phase stability inthe solid solution for all annealing temperatures.

Yulia Kuzminova is a 3d year Ph.D. student at Skoltech working with Prof. Shishkovsky and Dr. Evlashin. Before Skoltech, she graduated from Materials Science program of the Belgorod State Universuty. Currently, her research is focused on the producing of new materials by additive technologies. The novel results were obtained for perspective CrCoFeNi(Al) alloys and its potential applications. Future work will demonstrate the possibility to obtain the materials with required properties by in situ 3D printing.
Micro-computed tomography (micro-CT) is an imaging technique to examine the material's inner microstructure in detail (down to microscale) and even predict mechanical properties. The main limitation of micro-CT is a small field of view for high-resolution scans: only small and often non-representative specimens can be scanned to obtain detailed microstructure. In addition, high-resolution images take more time and are not resistant to x-ray artifacts. One solution is to synthetically increase the spatial resolution of scans in post-processing and remove defects by inpainting. Increasing resolution (super-resolution) techniques are widely used in different fields and have evolved rapidly by using deep learning algorithms. This work investigates deep learning-based methodologies and algorithms for super-resolution for micro-CT images of composite materials, its application for enabling automated fiber breaks detection for low resolution images.

Radmir Karamov completed his MSc in Skoltech, CMT, where he worked on the analysis of composite materials micro-CT. Now he continues his research as a joint PhD student in Skoltech and KU Leuven and works on applying machine learning algorithms in the field of composite materials.