Regolith Particle Separation Using Stick-Slip Conveyance
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Solution Overview
Problem
Existing mechanisms for sorting regolith or particulate materials, such as sieve shakers, often become clogged and require manual intervention, hindering autonomous operations on extraterrestrial bodies.
Innovation Solution
A particle separation device utilizing a 'stick-slip' conveyance method with vectored forces and tunable springs to separate particles based on size, shape, and mass, combined with a computing platform for classification and sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If sieve shakers and filtering mechanisms are used to separate particles by size, then particle separation is achieved, but the screens become clogged requiring manual intervention
Solution Approach 1:
The patent replaces traditional mechanical sieve shakers with a computing platform that uses image processing and machine learning algorithms to identify and classify particles. This substitution eliminates physical screens that can clog, while maintaining accurate particle separation through digital analysis of particle images captured by cameras or sensors.
Solution Approach 2:
The system creates digital copies (images) of particles and analyzes these copies to determine particle characteristics and separation categories. This allows the system to perform separation decisions based on digital representations rather than physical filtration, avoiding clogging issues while maintaining classification accuracy.
2Ease of repair
If manual intervention is implemented to resolve sieve clogging, then screen functionality is restored, but autonomous operation capability is reduced
Solution Approach 1:
By replacing the mechanical sieve system with a computing-based classification system, the patent eliminates the need for manual screen maintenance. The automated image processing and machine learning algorithms continuously operate without human intervention, achieving both ease of operation and high automation level simultaneously.
Solution Approach 2:
The computing platform performs self-maintenance by continuously processing particle images and adapting its classification algorithms without requiring human intervention. The system automatically handles all separation tasks, making it truly autonomous for extraterrestrial applications where human access is limited.
3Productivity
If conventional sieve mechanisms are used for particle sorting, then particle separation is achieved, but the system requires manual intervention and increased maintenance intervals
Solution Approach 1:
The patent replaces mechanical sieves with a computing platform that processes particle images through machine learning algorithms. This eliminates maintenance downtime entirely, as there are no physical screens to clean or replace, while maintaining high sorting throughput through rapid image processing and classification.
Solution Approach 2:
The computing-based system enables continuous particle classification without interruption for maintenance. The algorithms process particle images continuously as they are captured, eliminating the downtime associated with screen cleaning and replacement in traditional sieve systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient, autonomous separation and classification of regolith particles without clogging, suitable for extraterrestrial environments.
Implementation Method 1
A particle separation device utilizing a 'stick-slip' conveyance method with vectored forces and tunable springs to separate particles based on size, shape, and mass
Implementation Method 2
A particle separation device utilizing a 'stick-slip' conveyance method with vectored forces and tunable springs to separate particles based on size, shape, and mass
Data Source
AI summary
Various embodiments relate generally to soil and particulate science and data analysis thereof, computer software and systems, and control systems and algorithms based on characteristics of subsets of particulate graph-based data arrangements, among other things, and, more specifically, to a computing and a mechanical platform configured to identify and classify particles in, for example, any regolith from any planetary soil environment, and further dispense with classified particles in accordance with a classification, such as forming a base materials for any planetary construction.


