Scrap Recycling With Interspace-Preserving Automated Sorting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing recycling methods for scrap materials, particularly aluminum, require manual sorting and long-distance transport, which are labor-intensive, environmentally costly, and subject to export/import restrictions, while existing automated systems struggle with entanglement and inefficiencies in processing larger-sized objects.
Innovation Solution
A method involving shredding scrap into objects with maximum pass-through dimensions of 50-200 mm, classifying these objects into size ranges while maintaining interspace, and sorting them using a system comprising a shredder, classifier, and sorter to facilitate efficient automated selection, reducing manual labor and long-distance transport.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If scrap is shredded into smaller pieces to reduce volume, then transport efficiency is improved, but objects become too small to maintain interspace during sorting, causing entanglement
Solution Approach 1:
The patent applies parameter changes by optimizing the shred size to a specific range (50-200 mm) that balances volume reduction for transport with maintaining sufficient object size to prevent entanglement during automated sorting. This parameter optimization allows the system to achieve both efficient compact bulk transport and effective automated processing with interspace maintenance.
2Measurement precision
If manual sorting is used to select specific scrap objects, then sorting precision is improved, but labor costs and health risks increase
Solution Approach 1:
The patent replaces manual mechanical sorting with automated optical sensing and classification systems. Sensors detect object properties such as color, shape, and material composition, enabling automated identification and separation of specific scrap types (e.g., red vs. white aluminum) without manual labor, thereby maintaining high sorting precision while eliminating health risks and labor costs.
Solution Approach 2:
The patent introduces an intermediary automated classification system between the shredding process and final sorting. This intermediary system uses sensors and control mechanisms to identify and direct specific scrap objects to appropriate bins, serving as a mediator that replaces manual selection while maintaining the precision needed for valuable material recovery.
3Adaptability or versatility
If long-distance transport is used to reach manual labor locations, then local processing capability is improved, but energy consumption and environmental impact increase
Solution Approach 1:
The patent segments the recycling process into distinct modular stages: local shredding, automated classification, and sorted collection. By implementing this segmentation at local scrapyards, the system enables processing to occur where the scrap is collected rather than requiring transport to centralized manual sorting facilities, thereby reducing transport energy while maintaining versatile local processing capability.
Solution Approach 2:
The patent implements self-service by equipping local scrapyards with automated sorting systems that can independently process and classify scrap materials on-site. This self-sufficient approach eliminates the need to transport scrap to locations with manual labor availability, as the local facility performs the sorting function autonomously using sensors and automated mechanisms.
4Ease of operation
If larger-sized objects are processed, then entanglement is reduced, but processing speed and efficiency decrease
Solution Approach 1:
The patent applies parameter changes by optimizing the shred size to a specific range (50-200 mm) that balances volume reduction for transport with maintaining sufficient object size to prevent entanglement during automated sorting. This parameter optimization allows the system to achieve both efficient compact bulk transport and effective automated processing with interspace maintenance.
Data Source
AI summary
A method of recycling scrap is disclosed, comprising the steps of shredding the scrap with a shredder into shredded scrap objects, classifying the shredded scrap objects into fractions of scrap objects having different size ranges with a classifier, and sorting scrap objects while substantially maintaining interspace between the objects. Further, a singulating arrangement for singulating scrap objects is disclosed, comprising a substantially horizontally disposed feeder that extends from a receiving area for receiving scrap objects to a feed gate positioned at a top portion of a chute, as well as an ejector arrangement, comprising a conveyor with a substantially flat conveying plane and an ejector device disposed along the conveyor.


