Nina Korshunova M.Sc. (hons.) Wissenschaftliche Mitarbeiterin Koordinatorin für Bavarian Graduate School of Computational Engineering (BGCE) Room: 3163 Email: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! Tel: +49 89 289-25054 Fax: +49 89 289-25051

Forschung

• Simulation in Applied Mechanics
• Project: Modelling and numerical algorithms for the simulation of structural properties of additively manufactured metal parts by numerical homogenization

Publications



Conference Talks

• Korshunova N., Jomo J., Reznik D., Kollmannsberger S., Rank E. From CT-Scans to material characterization: mechanical behavior of micro-porous metal structures
  In: High-Order Finite Element and Isogeometric Methods, 2019
  
  
  
  
  
  
  
• Korshunova, N., Jomo, J., Reznik, D., Kollmannsberger, S., Rank, E. Material characterization of additively manufactured complex steel components
  In: Simulation for Additive Manufacturing (Sim-AM 2019), 2019
  
  
  
  
  
  
  
• Jomo J., Korshunova N., Carraturo M., Kollmannsberger S., Mundani R. P., Rank E. A parallel immersed finite element framework for numerical computations of metal additive manufacturing processes and products
  In: II International Conference on Simulation for Additive Manufacturing, Pavia, Italy, 2019
  
  
  
  
  
  
  
• Korshunova, N., Jomo, J., Reznik, D., Kollmannsberger, S., Düster, A., Rank, E. Show abstract From images to material characterization of additively manufactured micro-architectured structures
  In: 13th World Congress in Computational Mechanics, 2018
  
  
  
  Recent developments in additive manufacturing have provided a unique possibility to create complex structures with porosity on a micro and meso-structural levels. Such designs can outperform conventional materials in specific industrial applications, e.g. turbine blades with a transpiration cooling. However, the high flexibility of the input parameters for the 3D printers, such as the laser diameter, hatch distance etc., challenges a reliable estimation of the mechanical behaviour of the final parts. Moreover, a high variation of porosity in all of the material directions limits the application of analytical bounds based on the void fraction ratio. Numerical homogenization is an efficient and robust alternative to perform non-desctructive evaluation of the material characteristics based on high resolution 3D images of produced specimens. The conventional Finite Element Method applied to numerical homogenization leads to a labor intensive meshing procedure to extract the representative volume elements that makes it impractial from the industrial point of view. Furthermore, non-symmetric micro-architectured structures make it difficult to apply correct boundary conditions for the solution of the microstructural boundary value problem. To address these issues, in the scope of the presented work the Finite Cell Method is employed in combination with the window method. A road map is presented for the automatized numerical computation of the homogenized elasticity tensor of additively manufactured steel structures using 3D images. The computational results are verified with the direct finite-cell computation of a given produced specimen. Validation of the proposed model is performed comparing the numerical results with the results stemming from experimental tests.
  
  
  
• Kopp, P.; Korshunova, N.; Seidl, R.; Zander, N.; Kollmannsberger, S.; Rank, E. Finite Cell discretizations for Full Waveform Inversion
  In: European Conference on Computational Mechanics, 2018
  
  
  
  
  
  
  
• Korshunova, N.; Reznik, D.; Kollmannsberger, R.; Rank, E. Show abstract Numerical simulation of material parameters of additively manufactured porous metal parts
  In: 1st ECCOMAS Thematic Conference on Simulation for Additive Manufacturing, 2017
  
  
  
  Selective Laser Melting is a well-known variant of additive manufacturing. It offers the possibility to design porous, lattice-type structures with desired mesoscale structure properties by varying the hatch distance and the laser scan direction. The porosity of such materials may be exploited e.g. in the design of next-generation gas turbine blades using transpiration cooling. However, the mechanical properties of these new type of materials must be estimated carefully prior to the built process to assure the quality of the finished parts. However, for these structures, analytical homogenization strategies fail as the characteristic mesostructural length scale (i.e. the diameter of the solidified melt pool) becomes comparable to the macroscopic one. Numerical homogenization techniques in combination with the Finite Element (FE) Method provide an efficient alternative to the conventional approach. A difficulty of FE analysis is its necessity to resolve the topologically complex graded lattice structures in a boundary conforming manner - a procedure which is not easily automatable in a robust manner. To address this issue, we utilize the Finite Cell Method for the numerical homogenization of the mesostructure and employ the window method to determine the effective material properties. We will demonstrate by various examples that the combination of these two approaches is an efficient technique and present a road map of an automatized numerical determination of the elastic mechanical properties of graded lattice structures.
  
  
  

Theses

• Korshunova, Nina Partitioned hp-d approach for multiscale transient heat problems
  Master's thesis, Technische Universität München, 2016
  
  
  
  
  
  
  

• Kopp, P.; Korshunova. N. Crack detection by full waveform inversion using multi-level hp-FEM
  Honours project, Technische Universität München, 2016
  
  
  
  
  
  
  

Lehre

• Organisation
  Software Lab
  Sommer Semester 2019, Master Programm Computational Mechanics COME@TUM

• Organisation
  Software Lab
  Sommer Semester 2018, Master Programm Computational Mechanics COME@TUM
• Organisation
  Software Lab
  Sommer Semester 2017, Master Programm Computational Mechanics COME@TUM

Supervised Software Labs

• Large scale simulation of additive manufacturing products
  Sommer Semester 2019
• Numerical simulation of a mold-cooling process
  Sommer Semester 2018
• An injection molding simulation utilizing Finite Cell Method
  Sommer Semester 2017
• A preprocessor tool for the numerical simulations of additively manufactured porous steel parts
  Sommer Semester 2017

Supervised Theses

• Hayden Liu Weng Partitioned hierarchical space-time FEM for transient heat problems
  Master's thesis, Technische Universität München, 2019