Particle Quantifier Using Pressure Drop for Viscous Fluid Analysis
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Solution Overview
Problem
Existing methods for analyzing particles in fluids, such as ferrography and direct imaging instruments, are inadequate for highly viscous oils and dark fluids without dilution, leading to skewed particle counts due to interference from additives, water, and dissolved gases, and are not suited for lubrication systems without sample preparation.
Innovation Solution
A particle quantifier system using a filter with a polycarbonate filter and a felt filter, which measures pressure drop to estimate particle concentration across a wide range of lubricant oils and fluids, allowing for advanced warning of impending machine failures by reporting wear particle sizes and contaminants, and enabling further analysis via x-ray and microscopy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If direct imaging instruments are used to automatically quantify particle size and distribution, then productivity and measurement automation are improved, but the system cannot analyze highly viscous oils and very dark fluids without dilution, leading to skewed particle counts
Solution Approach 1:
The patent introduces a filter as an intermediary element between the fluid sample and the detection system. The filter captures particles from the fluid, allowing the system to analyze particle concentration and size distribution without requiring the fluid to pass directly through the imaging instrument. This mediator approach enables analysis of viscous and dark fluids that would otherwise interfere with direct imaging measurements.
Solution Approach 2:
The system extracts particles from the fluid sample by filtering, separating the particles of interest from the complex fluid matrix. This extraction allows the imaging instrument to focus solely on particle analysis without being affected by the fluid's viscosity, color, or dissolved components, thereby resolving the limitation of analyzing difficult samples.
2Reliability
If light blocking and pore blockage technology is used for cleanliness control in hydraulic systems, then system cleanliness is improved, but the technology is not ideally suited for lubrication systems without sample preparation
Solution Approach 1:
The filter system performs self-service by automatically capturing and retaining particles as the fluid passes through, without requiring external sample preparation steps. The filter media itself provides the cleaning function, eliminating the need for complex preprocessing procedures while maintaining reliable particle separation and cleanliness control.
3Measurement precision
If a polycarbonate filter is used to trap particles, then particle quantification is improved, but filter caking occurs which limits continuous operation
Solution Approach 1:
The system is designed to periodically discard caked filters and replace them with fresh filters. This discarding approach resets the filter capacity, allowing continuous operation by simply replacing rather than cleaning or regenerating the filter media. The felt filter layer helps extend operational duration by preventing immediate caking of the polycarbonate filter surface.
Solution Approach 2:
The patent uses a composite filtering system combining polycarbonate filter material with a felt filter layer. The felt layer acts as a pre-filter that captures larger particles and prevents them from immediately caking the polycarbonate filter pores, thereby extending the operational duration before filter replacement is needed while maintaining particle quantification precision.
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 accurate particle counting and sizing in various viscosities and particle distributions, correlating to a unique calibration curve, offering real-time monitoring and storage for further analysis, with a high correlation to direct imaging particle counts, especially in dark and viscous samples where other methods fail.
Implementation Method 1
measuring the pressure drop as oil is pushed through a filter system
Implementation Method 2
a filter system including a polycarbonate filter of a given pore size
Data Source
AI summary
A particle quantifier includes a filter with a predetermined number of pores of a first predetermined size, a pump, and a fluid path from the pump to the filter. A pressure sensor is responsive to fluid pressure in the fluid path, and a processing module is responsive to the pressure sensor. The pressure increase of a sample fluid in the fluid path is determined as it is pumped through the filter and particles in the fluid are trapped by the filter. This pressure increase is compared with calibration data and an estimate is made concerning the concentration of particles greater than a second predetermined size present in the sample.