Photodetector Signal Validation for Spherical Object Sizing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current light scattering interferometry techniques for characterizing spherical objects, such as particles and droplets, face significant errors due to complex interference fringe patterns caused by mixed light scattering mechanisms like reflection and refraction, especially in high particle density environments and when particle sizes approach the diameter of the focused laser beam, leading to inaccurate size and velocity measurements.
Innovation Solution
The use of multiple photodetectors to validate signals by partitioning time-varying electrical signals into timing segments, determining timing parameters, and comparing them to error thresholds to ensure periodicity and consistency, with redundant checks providing a redundant validation of measurement validity, and adjusting laser beam parameters to enhance discrimination between scattering mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light scattering interferometry is used to measure spherical objects, then size and velocity information can be obtained, but complex interference fringe patterns from mixed scattering mechanisms cause significant measurement errors
Solution Approach 1:
The patent segments the interference fringe pattern analysis into multiple spatial frequencies components. By analyzing different spatial frequency components separately and identifying the dominant periodic component, the system can distinguish valid periodic signals from non-periodic complex interference patterns caused by mixed scattering mechanisms, thereby improving measurement reliability and accuracy
Solution Approach 2:
The patent implements a feedback mechanism where the measured interference fringe pattern is analyzed to determine its periodicity characteristics. The system uses the determined spatial period to calculate size and velocity, and validates the measurements by checking signal consistency, providing feedback to ensure measurement reliability
2Measurement precision
If highly focused laser beams with Gaussian intensity distributions are used, then measurement sensitivity is improved, but measurement errors increase in high particle density environments
Solution Approach 1:
The patent performs preliminary analysis of the interference fringe pattern to determine its periodicity characteristics before final measurement calculation. By pre-validating the signal periodicity and identifying the dominant spatial frequency component, the system prepares the measurement data to filter out errors from high particle density environments, ensuring more reliable measurements
3Productivity
If multiple particles pass through the sample volume simultaneously, then measurement throughput is improved, but signal frequency and phase changes lead to measurement errors
Solution Approach 1:
The patent analyzes the interference fringe pattern to identify the dominant periodic component among multiple particles. By focusing on the primary periodic signal and filtering out non-periodic or secondary components, the system can handle multiple particles simultaneously while maintaining measurement accuracy, effectively managing the complexity of multi-particle signals
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
This approach significantly reduces measurement errors by validating signal periodicity and consistency, improving the accuracy of size and velocity determination of spherical objects, even in complex interference patterns and high particle density conditions.
Implementation Method 1
The light scattered by the spherical object, as it passes through the sample volume, produces an interference fringe pattern at the plane of the detector
Implementation Method 2
The light scattered by the spherical object, as it passes through the sample volume, produces an interference fringe pattern at the plane of the detector
Data Source
AI summary
Methods and apparatuses for validating signals to determine sizes and velocities of spherical objects are described. Light is scattered from a spherical object to form an interference fringe pattern. Portions of the interference fringe pattern are received by photodetectors. In response, the photodetectors generate time varying electrical signals. At least one of the time varying signals is partitioned into timing segments. The timing segments are processed to determine one or more timing parameters. A timing parameter consistency between at least two of the timing segments is verified. At least one of the time varying signals is validated based on the timing parameter consistency. The time varying electrical signal is accepted if a timing parameter difference is less or equal to a predetermined timing parameter error threshold. The time varying electrical signal is rejected if the timing parameter difference is larger than the predetermined timing parameter error threshold.