Cryogenic Grinding Control for Sample Waste and Energy Reduction
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Solution Overview
Problem
Existing cryogenic grinding systems require tedious manual operations and trial-and-error methods, leading to sample and energy waste.
Innovation Solution
A cryogenic grinding system with a controller that automates the introduction of cryogen, blade operation, and grinding duration based on user input, sample mass, or temperature, enhancing efficiency and reducing waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional cryogenic grinding systems are used, then sample processing can be achieved, but the process requires numerous tedious steps and relies on trial-and-error, leading to sample waste and inefficient energy and material usage
Solution Approach 1:
The system performs self-adjustment of cryogen quantity, grinding duration, and blade speed through automated sensors and control algorithms, eliminating the need for manual trial-and-error adjustments by operators. The processor automatically monitors temperature, mass, and grinding progress to optimize parameters in real-time.
Solution Approach 2:
The system incorporates temperature sensors, mass sensors, and progress tracking that continuously monitor the grinding process and feed information back to the controller. This feedback loop enables dynamic adjustment of cryogen flow rate, blade speed, and grinding duration to achieve optimal results without waste.
2Productivity
If traditional cryogenic grinding systems are used, then sample processing can be achieved, but energy and material usage is inefficient due to lack of automated parameter control
Solution Approach 1:
The system dynamically adjusts multiple parameters during the grinding process including cryogen flow rate, blade rotation speed, and grinding duration based on real-time conditions. This dynamic control optimizes energy utilization by applying cryogen and mechanical force only when and where needed, rather than using fixed high-consumption settings throughout.
Solution Approach 2:
The controller automatically modifies operational parameters such as cryogen quantity, temperature, blade speed, and grinding duration based on sensor feedback and pre-programmed algorithms. These parameter changes optimize the balance between processing speed and energy consumption, eliminating the energy waste associated with manual trial-and-error method optimization.
3Reliability
If manual trial-and-error method is used for cryogenic grinding, then sample processing can be achieved, but it requires numerous tedious steps and results in waste of samples, energy and material
Solution Approach 1:
The system incorporates pre-programmed grinding protocols and algorithms that are prepared in advance based on sample type and desired outcomes. These pre-configured parameters eliminate the need for operators to perform tedious manual trial-and-error adjustments during actual processing, significantly reducing processing time while maintaining reliable results.
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated electronic control system that uses sensors, processors, and actuators to manage all grinding parameters. This substitution eliminates the time-consuming manual steps while ensuring consistent and reliable processing outcomes through precise automated control.
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
The system provides a reliable and efficient method for sample processing by automating cryogenic grinding, minimizing waste and optimizing energy use.
Implementation Method 1
Cryogenic grinding or milling or is often used to reduce a sample down to a particle size suitable for analysis. Cryogenic milling or grinding often involves cooling or otherwise removing heat from a sample
Data Source
AI summary
A cryogenic grinding system, method, and apparatus for processing a sample. The system includes a cryogen source, a containment vessel for containing the sample and the cryogen, a blade for grinding the sample, and a controller. The controller controls at least one of: a quantity of cryogen introduced into the container; a grinding duration of the at least one blade; or a grinding speed of the at least one blade based on at least one of: a user input via a grinding system input, a mass of the sample placed in the containment vessel; or a temperature within the containment vessel.