Particle Size Analysis TRIZ Cases

A continuous monitor detects airborne depleted uranium particles using a movable filter web and solid-state detector.

A segmented measurement system combines laser rangefinder data for coarse particles with camera image analysis for fine particles to compute overall distribution.

Hematology systems measure DC impedance and radiofrequency conductivity to enumerate immature platelets without optical fluorescence.

A particle analyzer uses distinct time-frequency domains to verify calibration status independently of particles.

A portable computer system coupled to a camera captures images of separated wear particles from industrial lubricating oil samples.

A measurement apparatus stores historical control data to generate virtual samples for quality evaluation.

Automated optical imaging measures undissolved substances in polymer solution using planar light transmission and image analysis.

Camera-controlled vibration intensity separates overlapping particles on dosing chutes, ensuring accurate quality analysis.

A particle size measuring device uses an inclined measuring cell to decouple scattering angles and reduce stray light entry.

Segmented magnetometer channels calculate large particle concentration without soot interference, replacing manual ferrography.

Dual feeding chutes use camera feedback to control vibration frequency, resolving overlapping errors during image analysis of small particles.

Planar gas-inlet and outlet grooves in the base replace bulky multi-layer channels, reducing module thickness for portable device integration.

A particulate detection device applies AC voltages of different frequencies to separate impedance components for accurate measurement.

Diffusional precipitator current measurement determines aerosol particle concentration and size without complex optical systems.

Charged particle beam device automates asbestos detection using electron microscope imaging and diffraction pattern analysis for precise concentration measurement.

Replacing optical detection with microfluidic impedance sensing resolves the trade-off between high sensitivity and low latency in single-cell analysis.

Tenon mortise assemblies guide four plates to eliminate springs, reducing temperature variations and ensuring stable flow cytometry excitation source alignment.

A remote optical fluid monitoring system uses distributed sensors and lasers to image particles in flowing fluids.

Rotating a frosted glass pane generates ensemble-averaged correlation echoes, reducing measurement time by 100-1000 times for cloudy viscoelastic samples.

A pulse scope particle counter captures detailed parametric information on individual pulses for advanced analysis.

A measurement system records non-linear pressure difference versus volume flow rate to determine powder particle equivalent diameter.

Optical path length resolved photon correlation spectroscopy measures nanoparticle sizing during flow, eliminating offline sampling delays.

A fiber optic detection system analyzes scattered light to identify smoke presence and magnitude at distributed nodes.

Segmented optical modules and a removable measurement tank resolve maintenance access issues while preserving measurement precision.

Segmented conduit design enables precise shear rate measurement across laminar and turbulent flow regimes.

Nondegenerate two-wave mixing uses Doppler-shifted optical waves to determine particle radius in colloidal suspensions.

A particle detection system uses optical sensors adjacent to a conduit to identify particles removed from components during additive manufacturing.

Real-time particle size analysis optimizes drilling fluid distribution, reducing low gravity solids buildup and environmental impact.

Laser scattering calculates fractal dimension from particle data, replacing long fermentation tests with rapid bioavailability prediction.

Symmetrical current loops in a three-electrode LiMCA setup cancel electromagnetic noise, enabling accurate particle measurement in molten metal.

A particle counter uses light superimposition to generate interference beams from scattered and reference signals.

A conversion model transforms optical particle count data into mass concentration estimates using machine learning.

Glow discharge optical emission spectroscopy analyzes nanoparticle emissions to determine size and elemental composition.

A constrained regularization algorithm decomposes experimental Taylor signals into Gaussian functions to determine particle size distributions.

Electric field separation isolates fibers from interfering non-fibrous particles, improving measurement precision in dusty environments.

A combined measurement system merges light scattering and optical imaging data to generate a single particle size distribution.

Segmented particle counter design minimizes repair downtime by allowing quick chamber module swaps while preserving calibration accuracy.

A single-wavelength laser system calculates the LIDAR ratio to estimate cloud water particle sizes.

A particle detector uses a controller to drive LEDs with pulsed currents beyond damage thresholds for accurate type differentiation.

Homogeneous illumination via a single beam splitter resolves overexposure and optical distortion in wide-range particle size determination.

Direct characteristic extraction from holograms reduces computational cost and power consumption while enabling real-time cell classification at high speeds.

A pulse discriminator analyzes both signal height and width to qualify particle events in airborne sensors.

A computer-implemented system dynamically adjusts integration time and acquisition counts based on real-time standard error calculations.

Wavelength-selective filters block molecular scattering noise while the back-reflection system concentrates signal intensity on an APD detector.

Multi-shell dielectric models analyze electrical impedance to classify cellular subpopulations without fluorescent staining perturbations.

Optical acquisition of 3D point clouds replaces insufficient 2D imaging, enabling precise morphological deformation assessment for railway ballast maintenance.

Segmented electrode pairs with distinct gaps measure PM2.5 and PM10 densities directly, eliminating temperature and moisture calibration requirements.