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 ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Movable Cellular Automata

Simulating Self-Regeneration and Self-Replication Processes Using Movable Cellular Automata with a Mutual Equilibrium Neighborhood

2020 ◽  
Vol 29 (4) ◽  
pp. 741-757
Author(s):  
Kateryna Hazdiuk ◽  
◽  
Volodymyr Zhikharevich ◽  
Serhiy Ostapov ◽  
◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cellular Automaton ◽  
Three Dimensional ◽  
Computer Models ◽  
The Self ◽  
Model Construction ◽  
Natural Phenomena ◽  
Different Types ◽  
Movable Cellular Automata ◽  
Self Replication

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.

The influence of defects on strength of ceramics modeled with Movable Cellular Automata

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

MCA Model for Chip Breaking and Curling of Orthogonal Cutting

2009 ◽  
Vol 407-408 ◽  
pp. 478-481
Author(s):  
Guang Yu Tan ◽  
Guang Jun Liu ◽  
Guang Hui Li
Keyword(s):  
Numerical Calculation ◽  
Cellular Automata ◽  
Continuous Process ◽  
Orthogonal Cutting ◽  
Cutting Process ◽  
Local Rule ◽  
Numerical Example ◽  
Chip Breaking ◽  
A Cell ◽  
Movable Cellular Automata

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.

Numerical Simulations of 3D Defects Growth in Ceramics Modelled with Movable Cellular Automata

2010 ◽  
Author(s):  
Dorota Aniszewska ◽  
Julita Czopor ◽  
Marek Rybaczuk ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Numerical Simulations ◽  
Movable Cellular Automata

scholarly journals Abstract Methods on Mesoscopic Scales of Friction

2020 ◽  
pp. 127-142
Author(s):  
Georg-Peter Ostermeyer ◽  
Andreas Krumm
Keyword(s):  
Boundary Layer ◽  
Cellular Automata ◽  
Atomic Scale ◽  
Dynamic Complexity ◽  
Complex Processes ◽  
Discrete Methods ◽  
Movable Cellular Automata ◽  
High Dynamic ◽  
Contact Surfaces ◽  
Automotive Brake

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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