Fiber Filter Media Disorder Control for Particle Removal Efficiency
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Solution Overview
Problem
Existing technologies lack a systematic approach to quantify and control the disorder in fiber-based filter media to optimize particle removal efficiency and other properties, such as filtering efficiency and Young's Modulus, which are crucial for applications like personal protective equipment and HVAC systems.
Innovation Solution
A method is developed to extract the order parameter squared (S2) value from images of fiber filter media using techniques like Raman spectroscopy and SEM, correlating it with particle filtering efficiency through a predefined linear function, allowing adjustment of fabrication parameters to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If disorder in fiber filter media is increased to improve particle removal efficiency, then particle filtering efficiency improves, but manufacturing precision and control become more difficult
Solution Approach 1:
The patent applies parameter changes by introducing the order parameter squared (S2) as a quantitative metric to characterize fiber disorder. By establishing a predefined relationship between S2 and particle filtering efficiency, the patent enables systematic control of disorder through fabrication parameter adjustments, resolving the contradiction between improving filtering efficiency and maintaining manufacturing precision.
Solution Approach 2:
The patent implements feedback by using S2 values extracted from images to determine estimated particle filtering efficiency, which then feeds back to adjust fabrication process parameters. This closed-loop approach allows continuous optimization of disorder control while maintaining high particle removal efficiency.
2Reliability
If quantitative disorder analysis is implemented to control fiber filter media properties, then particle removal efficiency and Young's Modulus improve, but device complexity and measurement precision requirements increase
Solution Approach 1:
The patent replaces complex mechanical analysis systems with image-based S2 extraction methods. By using digital images from standard microscopy or SEM and applying image processing algorithms to extract S2 values, the patent simplifies the measurement system while maintaining the ability to quantitatively control fiber disorder and predict filtering performance.
3Manufacturing precision
If S2 value extraction and predefined relationship utilization are used to estimate particle filtering efficiency, then manufacturing precision improves, but measurement and detection difficulty increases
Solution Approach 1:
The patent uses image copies (digital representations) of fiber filter media to extract S2 values without requiring direct physical measurement of each fiber. By working with optical or electron microscope images, the patent simplifies the measurement process while maintaining quantitative accuracy in disorder characterization and filtering efficiency prediction.
Data Source
AI summary
A process for predicting and adjusting particle removal efficiency of fiber-based filter media based on quantification of disorder. An order parameter may be extracted through Raman spectroscopy or scanning electron microscopy. Production processes may be adjusted to change (e.g., increase) the particle removal efficiency of fiber-based filter media utilizing a predefined correlation between order parameter and particle removal efficiency. The filter media may be utilized in masks, filters, and other applications.