Modeling of Microstructure Evolution during Deformation Processes by Cellular Automata-Boundary Conditions and Space...

Area of Science:

• Computational materials science
• Materials processing modeling

Background:

• Cellular automata (CA) are effective for modeling phenomena like microstructure evolution.
• Modeling often occurs in limited representative volumes, making boundary conditions critical.
• Geometric transformations in modeling space necessitate flexible boundary condition strategies.

Purpose of the Study:

• To explore boundary condition selection for cellular automata (CA) models.
• To introduce and evaluate CA space reorganization techniques for dynamic modeling.
• To provide decision rules for adapting CA space geometry during simulations.

Main Methods:

• Discussion of various boundary conditions applicable to CA modeling.
• Presentation of four CA space reorganization methods: halving, cutting and bonding, doubling, and straightening.
• Development of decision rules for selecting reorganization options based on CA shape and size changes.

Main Results:

• Demonstration that boundary condition choice is dependent on space reorganization.
• Successful application of described techniques to model flat and shape rolling processes.
• Establishment of a framework for adaptable CA space geometry in simulations.

Conclusions:

• Flexible boundary condition selection and CA space reorganization are crucial for accurate modeling of evolving microstructures.
• The presented reorganization techniques and decision rules enhance the applicability of CA models to dynamic processes.
• This work provides a valuable methodology for simulating microstructure evolution in plastic working and similar fields.