Module of images to classify carbon scraps data and cutting possibilities

Aerospace production generates significant carbon waste, often incinerated or landfilled despite retaining strong properties. If recovered promptly, these materials can be reused. Centexbel is studying techniques to transform waste into raw materials for high-tech industries, reducing the ecological footprint.

Objective:

Creation of a database cataloging carbon waste in the EMR region, detailing material properties like fiber orientation and thickness for potential reuse.

An AI-driven software will analyze this data to optimize cutting patterns, maximizing reusable surfaces while ensuring mechanical integrity.

After creating mosaic composites from carbon waste, mechanical tests will compare their performance with traditional composites.

Expected Working Principle:

A vision system captures images of irregular carbon scraps, analyzing size, shape, and orientation.
Data is processed by intelligent software to optimize cutting patterns.
The software generates cutting instructions to maximize usable surface area and minimize waste.
The system ensures efficient repurposing of carbon scraps for new applications