Completed events
SEMINAR ABSTRACT:
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..
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.
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.
SEMINAR ABSTRACT:
Wavelet methods in Computational Fluid Dynamics is a relatively young area of research. Despite their short three decade-long existence, a substantial number of wavelet techniques have been developed for numerical simulations of compressible and incompressible Euler and Navier--Stokes equations for both inert and reactive flows. What distinguishes wavelet methods from traditional approaches is their ability to unambiguously identify and isolate localized dynamically dominant flow structures such as shocks, flame fronts or vortices and to track these structures on adaptive computational meshes. This lecture will provide a general overview of wavelet methods for solution of partial differential equations and describe different numerical wavelet-based approaches for solving the Navier—Stokes and Euler equations in adaptive wavelet bases as well as provide the background how to use wavelet-based methods to model compressible and incompressible flows in complex geometries. Recent developments such as wavelet methods with mesh and anisotropy adaptation and characteristic-based volume penalization method, capable to impose arbitrary boundary conditions on stationary and moving boundaries, will be also discussed. Perspectives on using wavelet methods for modeling and computing industrially relevant flows will be also given.
Wavelet methods in Computational Fluid Dynamics is a relatively young area of research. Despite their short three decade-long existence, a substantial number of wavelet techniques have been developed for numerical simulations of compressible and incompressible Euler and Navier--Stokes equations for both inert and reactive flows. What distinguishes wavelet methods from traditional approaches is their ability to unambiguously identify and isolate localized dynamically dominant flow structures such as shocks, flame fronts or vortices and to track these structures on adaptive computational meshes. This lecture will provide a general overview of wavelet methods for solution of partial differential equations and describe different numerical wavelet-based approaches for solving the Navier—Stokes and Euler equations in adaptive wavelet bases as well as provide the background how to use wavelet-based methods to model compressible and incompressible flows in complex geometries. Recent developments such as wavelet methods with mesh and anisotropy adaptation and characteristic-based volume penalization method, capable to impose arbitrary boundary conditions on stationary and moving boundaries, will be also discussed. Perspectives on using wavelet methods for modeling and computing industrially relevant flows will be also given.
Prof. Oleg Vasilyev received his MSc degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology in 1991, the MSc and PhD degrees in Mechanical Engineering from the University of Notre Dame, in 1994 and 1996, respectively, and Doctor of Sciences degree in Computational Mathematics in 2021 from Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. Prior to rejoining Skoltech in 2023, Prof. Vasilyev has worked as a leading research scientist at the Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, a consultant for Huawei Russian Research Institute, a Professor at the Center for Design, Manufacturing and Materials of the Skolkovo Institute of Science and Technology, a Professor in the Department of Mechanical Engineering at the University of Colorado, an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Missouri – Columbia, and a Research Fellow at the Center for Turbulence Research, Stanford University.
Prof. Vasilyev conducts research in the general area of theoretical and computational fluid mechanics with the emphasis on the creation of novel adaptive approaches for modeling and simulation of complex multi-scale phenomena, development of low order “physics-capturing” models and robust computational methodologies with tight integration of the numerics and physics-based modeling, and applications of these novel approaches to challenging multi-scale/multi-physics fluid problems of engineering and scientific interest. Prof. Vasilyev is the author and co-author of more than 100 peer-reviewed journal and conference publications. He has given more than 200 lectures at conferences at universities around the world. For his research accomplishments, Prof. Vasilyev has been recognized with several awards and honors including a Fredric William Basel Research Award from Alexander Von Humboldt Foundation and has been elected a Fellow of the American Physical Society and a Fellow of the American Society of Mechanical Engineers.
Prof. Vasilyev conducts research in the general area of theoretical and computational fluid mechanics with the emphasis on the creation of novel adaptive approaches for modeling and simulation of complex multi-scale phenomena, development of low order “physics-capturing” models and robust computational methodologies with tight integration of the numerics and physics-based modeling, and applications of these novel approaches to challenging multi-scale/multi-physics fluid problems of engineering and scientific interest. Prof. Vasilyev is the author and co-author of more than 100 peer-reviewed journal and conference publications. He has given more than 200 lectures at conferences at universities around the world. For his research accomplishments, Prof. Vasilyev has been recognized with several awards and honors including a Fredric William Basel Research Award from Alexander Von Humboldt Foundation and has been elected a Fellow of the American Physical Society and a Fellow of the American Society of Mechanical Engineers.
SEMINAR ABSTRACT:
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.
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.
Novo Mesto University, Slovenia, IPM RAS, Moscow, Gazprom-Neft company, Gazprom company, Russian Railways company.
SEMINAR ABSTRACT:
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.
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.
SEMINAR ABSTRACT:
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.
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.
SEMINAR ABSTRACT:
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.
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.
SEMINAR ABSTRACT:
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.
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.
SEMINAR ABSTRACT:
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.
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).
SEMINAR ABSTRACT:
In recent decades, titanium aluminides and their alloys are in the focus of the research attention due to their low density and, consequently, high specific strength. However, in the range of normal temperatures, titanium aluminides, as well
as the majority of intermetallic compounds, are characterized by increased brittleness, which limits their industrial application. An effective solution that makes it possible to use intermetallics is the formation of composites
on their basis. The combination of a high-strength component with a ductile metal matrix makes it possible to largely compensate for the lack of fracture toughness of materials. Intermetallic compounds can be introduced into a metal matrix in the form of uniformly distributed particles or interlayers. The advantage of the layered structures in comparison with other types of heterogeneous composites is
an increased level of crack growth resistance and damping properties. At this seminar, the speaker will talk about different approaches to production of multilayer metal-intermetallic materials and the ways of improvement their properties.
In recent decades, titanium aluminides and their alloys are in the focus of the research attention due to their low density and, consequently, high specific strength. However, in the range of normal temperatures, titanium aluminides, as well
as the majority of intermetallic compounds, are characterized by increased brittleness, which limits their industrial application. An effective solution that makes it possible to use intermetallics is the formation of composites
on their basis. The combination of a high-strength component with a ductile metal matrix makes it possible to largely compensate for the lack of fracture toughness of materials. Intermetallic compounds can be introduced into a metal matrix in the form of uniformly distributed particles or interlayers. The advantage of the layered structures in comparison with other types of heterogeneous composites is
an increased level of crack growth resistance and damping properties. At this seminar, the speaker will talk about different approaches to production of multilayer metal-intermetallic materials and the ways of improvement their properties.
Daria Lazurenko graduated from Novosibirsk State Technical University
(NSTU) in 2011 with a Ph.D. degree in Materials Science. After graduation, she
worked as Assistant Professor and Researcher in home university. Daria had
several internships supported by DAAD and Humboldt Foundation in German
universities and research centers, particularly in Hannover University and
Helmholtz Zentrum Hereon. In 2020 she got a Doctor of Science degree followed by the
Professor and Senior Researcher positions in NSTU. Daria's research interests lie in the
field of intermetallic alloys and composites, protective coatings and multilayer
structures.
(NSTU) in 2011 with a Ph.D. degree in Materials Science. After graduation, she
worked as Assistant Professor and Researcher in home university. Daria had
several internships supported by DAAD and Humboldt Foundation in German
universities and research centers, particularly in Hannover University and
Helmholtz Zentrum Hereon. In 2020 she got a Doctor of Science degree followed by the
Professor and Senior Researcher positions in NSTU. Daria's research interests lie in the
field of intermetallic alloys and composites, protective coatings and multilayer
structures.