Particle Size Analysis TRIZ Cases

Diluting brake dust in an exhaust airflow prevents clumping and enables precise, reproducible particle measurement under real brake loads.

Fourier-based imaging replaces slow sieve analysis to measure particle size distribution in board mixtures faster and more frequently during production.

Interference-based particle sensing detects nanoparticles down to 10 nm by tracking optical path length changes instead of weak scattered light.

Local monitoring-station data lets a low-cost PM sensor switch calibration curves and correct mass density errors under changing particle conditions.

Asymmetric light modulation and multi-plane imaging improve biological particle contrast and focus detection without moving optical components.

Real-time optics, fluorescence detection, and pulse control actively couple target and secondary particles to cut waste in microfluidic workflows.

Optical feed particle detection lets the mill adjust speed, force, feed rate, and water to prevent vibration and keep grinding stable.

Combining inductive, Hall, and capacitive sensing, this case quantifies debris size, count, and lubricant viscosity to cut downtime.

Electrochemically generated halides enable controlled in-situ metal etching on non-conductive substrates without toxic solutions or rinsing.

Selective illumination phototags imaged target cells for later FACS or microfluidic retrieval, preserving spatiotemporal screening detail.

A guide element aligns falling particles and separates flow to reduce overlap, improving image-based shape and size measurement accuracy.

Overlapping image windows increase particle counts for real-time size distribution tracking while reducing statistical error.

A matched reflectivity reference sample corrects sensitivity drift in light-based particle sizing, reducing calibration time and error.

Three parallel growth tubes and detector comparison separate real particle events from false counts in water-based CPCs.

Pressure- or electric-field release couples detected target particles with nearby particles, reducing waste when targets are rare.

Multiple images with asymmetric modulation and varied focal planes improve contrast while locating biological objects without complex optical changes.

A non-powered wearable indicator adsorbs silica dust and obscures a graphical target for immediate visual exposure monitoring.

Time-series light scattering identifies large-particle contamination and corrects its contribution in polydisperse samples.

SIP measurements track formation conductivity against thresholds to detect water-in-oil emulsion onset during oil production.

Adhesive-free lens retention preserves UV transmittance and limits chromatic aberration.

Intermittent airstream diversion lets QCM or FBAR measurements correct OPS mass readings while limiting particle loading.

Particle-size detection adjusts speed, force, feed rate, and water input to stabilize grinding and preserve mill availability.

Correct blurred particle shadows with gradient-based calibration for accurate flow measurements.

A closed-loop testing device replicates human vasculature using a tortuous pathway and debubbler to measure particle shedding from medical implants accurately.

Segmenting detection into specialized elements overcomes analog-to-digital converter limits to capture single photons and milliwatts.

A Poisson ensemble inversion method estimates particle size distributions using forward algorithms and extinction probes.

Segmented grinding and sieving predict wheat milling value, resolving the trade-off between measurement precision and device complexity.

A monitoring sensor classifies objects by size and motion within sector-shaped fields to reduce false positives.

A calculation device derives PM2.5 mass concentration from particle number density and ambient humidity data.

A uniformity output device applies AC voltage to slurry and measures impedance for rapid particle diameter assessment.

A parallel self-mixing sensing system measures particulate matter velocity components using spatially separated light beams.

Piezoelectric vibration replaces bulky air-blowing systems to disperse coffee powder, enabling accurate handheld particle size distribution measurement.

Optical sensors measure particle size distributions in liquid dispersions to enable real-time parameter adjustments.

A portable gas detector uses a universal main body with detachable sensor modules for flexible ambient air monitoring.

Image processing system resolves particle overlap errors through automated analysis algorithms, enabling precise characterization without manual intervention.

A particle analyzing apparatus measures magnetophoretic velocity to calculate volume magnetic susceptibility for precise crystal form identification.

A suspension particle sensing apparatus uses segmented filtering assemblies to isolate specific particle sizes before optical detection.

Elongated hydrogel microparticles use length and dye intensity to achieve high multiplexing levels without complex imaging algorithms.

Aerosolizing fluid droplets and evaporating them enables condensation particle counters to measure sub-25 nm particles in dilute colloids.

Z-factor calculation replaces visual inspection to eliminate human interpretation errors in catalyst batch screening.

Suspension polymerization of distinct monomer droplet collections yields bimodal polymer beads that reduce sifting yield loss and improve packing efficiency.

Two orthogonal polarized laser beams illuminate particles in a fluid, enabling accurate size classification by analyzing scattered light intensity.

A dual-stage magnetometer system classifies particles by combining imaging with magnetic detection.

Real-time feedback control measures time-of-flight data to determine cluster size distribution, eliminating magnetic filters that sacrifice beam flux.

A particle sensor splits a light beam into signal and reference paths to isolate attenuation from source fluctuations.

A correlator sets delay times based on a geometric sequence to synchronize pulse counting across channels.

Splitting scattered light into multiple portions and recombining them creates an interference pattern that resolves small particles near the Rayleigh limit.

A particle size distribution measurement device calculates absolute particle numbers using light intensity signals and pre-established correlation data.

A light beam modulation unit uses an acousto-optical modulator to split beams into diffracted orders for flexible measurement configurations.

Single optical analysis system measures transit time and light intensity to determine particle size, shape, and density without complex multi-instrument setups.

A computer system estimates particle size distribution and morphology using chord length descriptors.