Method of movable cellular automata as a tool for simulation within the framework of mesomechanics

1995 ◽  
Vol 38 (11) ◽  
pp. 1157-1168 ◽  
Author(s):  
S. G. Psakhie ◽  
Y. Horie ◽  
S. Yu. Korostelev ◽  
A. Yu. Smolin ◽  
A. I. Dmitriev ◽  
...  
2020 ◽  
Vol 29 (4) ◽  
pp. 741-757
Author(s):  
Kateryna Hazdiuk ◽  
◽  
Volodymyr Zhikharevich ◽  
Serhiy Ostapov ◽  
◽  
...  

This paper deals with the issue of model construction of the self-regeneration and self-replication processes using movable cellular automata (MCAs). The rules of cellular automaton (CA) interactions are found according to the concept of equilibrium neighborhood. The method is implemented by establishing these rules between different types of cellular automata (CAs). Several models for two- and three-dimensional cases are described, which depict both stable and unstable structures. As a result, computer models imitating such natural phenomena as self-replication and self-regeneration are obtained and graphically presented.


2012 ◽  
Vol 51 (1) ◽  
pp. 151-155 ◽  
Author(s):  
Julita Czopor ◽  
Dorota Aniszewska ◽  
Marek Rybaczuk

2009 ◽  
Vol 407-408 ◽  
pp. 478-481
Author(s):  
Guang Yu Tan ◽  
Guang Jun Liu ◽  
Guang Hui Li

The Movable Cellular Automata (MCA) method is introduced into the analysis of cutting process, and is employed to build the discretised MCA tool-chip model of orthogonal cutting. The chip breaking and curling rule are proposed to determine the MCA local rule. The simple local rule and discretised method are presented to describe the continuous process of chip’s formation and breaking. The states’ rule of a cell and its neighbors can be used to predict and calculate the chips’ breaking and curling. The numerical calculation and a numerical example in the process of chip breaking and curling are proposed.


2010 ◽  
Author(s):  
Dorota Aniszewska ◽  
Julita Czopor ◽  
Marek Rybaczuk ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  

Author(s):  
Georg-Peter Ostermeyer ◽  
Andreas Krumm

AbstractIn recent years, research has increasingly focused on the complex processes involved in friction contacts. Especially in tribological high-loaded contacts, characterized by the presence of contact modifying wear particles, macroscopic friction shows a surprisingly high dynamic complexity on many temporal and local scales. There are dominant effects on mesoscopic scales such as the geometric self-organization structures of the wear dust in the contact, which can significantly change the local contact surfaces. For the description and simulation of these phenomena, abstract methods have shown their effectiveness. One class of methods are cellular automata, both volume- and particle-based. The latter are in particular the Movable Cellular Automata developed by Sergey Psakhie. The scales of these discrete methods are freely selectable in wide ranges between the macro world and the atomic scale. Nevertheless, they provide reliable information on mesoscopic balances in the boundary layer and thus also on the macroscopic behavior of the tribocontact. The success of these methods is shown by the example of an automotive brake. The question of the relative insensitivity of the scales of these mesoscopic methods is examined in detail.


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