Cascade Mineral Sorting System for High Capacity Separation
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Solution Overview
Problem
Current mineral sorting machines are limited by factors such as microcontroller speed, belt or feeder width, and the requirement for a mono-layer of particles, which restricts their capacity and efficiency in sorting unsegregated, unseparated feed material.
Innovation Solution
A cascade-type sorting system with multiple sensor/diverter stages arranged in series or parallel, utilizing embedded industrial computers with rapid pattern recognition algorithms and high-speed control interfaces to achieve efficient separation of minerals, eliminating the need for a mono-layer of particles and exploiting imperfections in sensor/diverter interactions to determine the optimal number of stages for effective separation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single stage of sensor arrays with matched diverters is used, then the sorting machine can operate with simpler control systems, but the capacity and efficiency are limited by microcontroller speed and belt width
Solution Approach 1:
The sorting system is divided into multiple independent sensor/diverter stages arranged in series, where each stage performs a portion of the sorting task. This segmentation allows the system to handle larger capacities by distributing the sorting load across multiple stages rather than requiring a single high-speed microcontroller to process all particles simultaneously.
Solution Approach 2:
The patent transitions from a single-stage horizontal sorting approach to a multi-stage cascade arrangement that adds a temporal dimension to the sorting process. Particles are sorted sequentially through multiple stages over time rather than all at once, effectively using time as an additional dimension to increase capacity without proportionally increasing microcontroller speed requirements.
2Measurement precision
If a mono-layer of particles is required for sorting, then sensor detection accuracy is improved, but the requirement restricts capacity and efficiency in sorting unsegregated feed material
Solution Approach 1:
The cascade structure performs preliminary sorting actions in early stages, progressively separating particles before they reach later stages. This preliminary action reduces the burden on subsequent stages and allows the system to handle unsegregated feed without requiring the entire feed to be arranged in a mono-layer simultaneously, as each stage works with a progressively refined subset of particles.
Solution Approach 2:
Instead of requiring complete mono-layer formation for the entire feed stream, the system applies partial layering action at each individual stage. Each sensor/diverter stage creates a localized mono-layer condition only for the particles it processes, which is sufficient for accurate detection while allowing the overall system to handle much larger unsegregated feed capacities.
3Productivity
If multiple sensor/diverter stages are arranged in cascade, then treatment capacity is maximized without requiring particle segregation, but the device complexity increases
Solution Approach 1:
Each sensor/diverter stage in the cascade is designed as a universal module capable of handling the full range of particle sizes and types in the feed. This multi-functionality allows identical or similar stages to be repeated in series, maximizing treatment capacity through replication rather than requiring increasingly complex single-stage designs, thereby managing device complexity through standardization.
Data Source
AI summary
Methods and systems for achieving higher efficiencies and capacities in sorting feed material are described herein, such as for separating desirable “good” rock or ore from undesirable “bad” rock or ore in an unsegregated, unseparated stream of feed material. In the disclosure, higher efficiencies are achieved with combinations of multiple sensor/diverter cells in stages in a cascade arrangement. The number and combination of cells in the cascade may be determined through a priori characterization of probabilities involved in sensor/rock and rock/diverter interactions, and mathematical determinations of the optimal number and combination of stages based on this probability. Further, as disclosed herein, desired sorting capacities are achieved through addition of multiple cascades in parallel until the desired sorting capacity is reached.