Cellular Automaton Mimicking Colliding Bodies for Topology Optimization

Area of Science:

• Engineering
• Computational Mechanics
• Materials Science

Background:

• Engineering design methods are continuously evolving to meet modern demands.
• Topology optimization is a key approach in contemporary engineering design.
• Innovative algorithms are crucial for efficient conceptual design stages.

Purpose of the Study:

• To propose an original heuristic topology generator.
• To leverage the colliding bodies phenomenon for optimal topology generation.
• To develop efficient Cellular Automata rules for this purpose.

Main Methods:

• Development of a novel heuristic topology generator based on colliding bodies.
• Derivation of Cellular Automata rules from physical laws governing colliding bodies.
• Integration of the developed algorithm with ANSYS finite element software.

Main Results:

• The proposed algorithm successfully generates optimal topologies.
• The algorithm demonstrates versatility when combined with commercial finite element software.
• The approach shows potential for practical engineering applications.

Conclusions:

• The Cellular Automata concept mimicking colliding bodies is a viable alternative to existing topology generators.
• The developed method offers an efficient and versatile approach for engineering design.
• Further development can enhance its applicability in engineering practice.