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Capturing local material heterogeneities in numerical modelling of microstructure evolution

Madej Lukasz, Sitko Mateusz, Fular Aleksander, Sarzyn Rafal, Werminski Mariusz, Perzynski Konrad

Journal of Machine Engineering

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2021

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Vol. 21, No. 4

29--48

EN

The work focuses on developing the complex digital shadow of the metallic material microstructure that can predict its evolution during metal forming operations. Therefore, such a digital shadow has to consider all major physical mechanisms influencing the particular investigated phenomenon. The motivation for the work is directly related to the development of modern metallic materials, often of multiphase nature. Such microstructure types lead to local heterogeneities influencing material behaviour and eventually macroscopic properties of the final product. The concept of the digital material shadow, stages of the model development, and examples of practical applications to simulation of microstructure evolution are presented within the work. Capturing local heterogeneities that have a physical origin and eliminating numerical artefacts is particularly addressed. Obtained results demonstrate the capabilities of such a digital microstructure shadow approach in the numerical design of final product properties.

2

The role of neighborhood density in the random cellular automata model of grain growth

Czarnecki Michał, Sitko Mateusz, Madej Łukasz

Computer Methods in Materials Science

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2021

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Vol. 21, No. 3

129--137

EN

The paper focuses on adapting the random cellular automata (RCA) method concept for the unconstrained grain growth simulation providing digital microstructure morphologies for subsequent multi-scale simulations. First, algorithms for the generation of initial RCA cells alignment are developed, and then the influence of cells density in the computational domain on grain growth is discussed. Three different approaches are proposed based on the regular, hexagonal, and random cells’ alignment in the former case. The importance of cellular automata (CA) cell neighborhood definition on grain growth model predictions is also highlighted. As a research outcome, random cellular automata model parameters that can replicate grain growth without artifacts are presented. It is identified that the acceptable microstructure morphology of the solid material is obtained when a mean number of RCA cells in the investigated neighborhood is higher than ten.

3

Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

Boguń Konrad, Sitko Mateusz, Mojżeszko Mateusz, Madej Łukasz

Archives of Civil and Mechanical Engineering

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2021

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Vol. 21, no. 2

335--349

EN

The development of an efficient numerical approach for the generation of a wide range of heterogeneous microstructures models with the application of the lean workflow concept is presented in the paper. First, the idea and implementation details of the developed cellular automata-based computational library allowing the development of digital material representation models within a workflow are presented in the paper. Such an approach provides the desired flexibility in the generation of various digital models of heterogenous microstructures. Therefore, the proposed library is mostly implemented within the object-oriented C + + programming language with the assumption of modularity. In this case, the main part of the application consists of classes and methods, which can be treated like base elements to be inherited and extended in other libraries. Each additional dynamic link library implements particular algorithms for the generation of specific microstructure features in the digital model within the unified data structures that allow the application of the workflow concept. The set of developed libraries and their assumptions are described as case studies to show the capabilities of the presented solution. Finally, examples of practical applications of the developed library in the full-field numerical simulations of complex material deformation are presented at the end of the paper.

4

Perceptive review of augmented reality applications and their outlooks in the forging industry

Sitko Mateusz, Wesołowski Bartłomiej, Adamus Jacek, Lisiecki Łukasz, Piotrowska-Madej Klaudia, Madej Łukasz

Computer Methods in Materials Science

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2020

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Vol. 20, No. 2

72--80

EN

Perceptive review of augmented reality applications in the forging industry is the primary goal of the paper. The differences between the Virtual (VR) and Augmented (AR) realities are highlighted first. Examples of the AR technology's various industrial applications are then presented, which is followed by the evaluation of capabilities of the approaches in the forging industry. The two practical case study solutions were implemented, and their operational capabilities under industrial conditions were tested. Examples of obtained results are presented within the paper.

PL

W pracy przedstawiono przegląd wybranych zastosowań technologii rozszerzonej rzeczywistości ze szczególnym uwzględnieniem przemysłu kuźniczego. W pierwszej kolejności omówiono różnice pomiędzy technologią rzeczywistości wirtualnej (VR, ang. Virtual Reality) i rozszerzonej (AR, ang. Augmented Reality). Następnie przedstawiono przykłady zastosowań przemysłowych technologii AR. W kolejnym etapie badań opracowano i zaimplementowano dwa rozwiązania testowe wykorzystujące AR dedykowane dla kuźni i określano możliwości ich wykorzystania w warunkach przemysłowych.