Open AccessSelf-repairing mechanical components using artificial Intelligence
Author(s) -
Pleșa Mihail Iulian
Publication year - 2021
Publication title -
scientific bulletin
Language(s) - English
Resource type - Journals
eISSN - 2392-8956
pISSN - 1454-864X
DOI - 10.21279/1454-864x-21-i1-002
Subject(s) - component (thermodynamics) , cellular automaton , computer science , artificial intelligence , convolutional neural network , convolution (computer science) , grid , artificial neural network , mathematics , physics , geometry , thermodynamics
In this paper, we study the applicability of artificial intelligence for designing mechanical components that can repair themselves. We use the Cellular Automata (CA) model implemented as a Convolution Neural Network (CNN) to simulate the automatic growth and repair of a mechanical component from a small seed. Concretely, we start with an empty 2D grid of cells. Using the CNN, the cells will learn to self-organize into the image of a mechanical component. We simulate the damage to the component by deleting some parts of the imagine and show how they are automatically regenerated.