Particle Size Analysis TRIZ Cases

A wireless monitoring unit transmits environmental sensor data to a remote computing unit for immediate analysis.

A holographic imaging system records interference patterns from scattered light waves to reconstruct aerosol particle images.

Integrating optoelectronic components into a single semiconductor substrate eliminates bulky discrete modules while maintaining measurement reliability.

A vacuum transducer monitors suction pressure to identify clogs, reducing system complexity by eliminating probe sensors.

Replacing micrometer actuators, a non-parallel lens rotates to shift the optical axis and center the image on a photodetector.

A particle analyzer combines magnetophoresis, dielectrophoresis, electrophoresis, photophoresis, and gravitational sedimentation within a single measurement cell to determine multiple physical properties.

A test system compares particle counts before and after a filter to determine retention efficiency.

Electrodes at the pipette tip aperture detect particles via electrical impedance, eliminating dead volume and preventing particle loss during analysis.

Stacked housing sections define distinct optical and fluid chambers, reducing mechanical alignment dependencies while minimizing optical signal interference.

A compact flue gas particle sensor uses multi-path light routing to measure scattered and unscattered signals via a single detector.

Glass drawing forms monolithic optical flow cells with polygonal cross-sections, eliminating assembly joins that cause optical aberrations.

A reflective laser particle detector uses optical interferometry to monitor vacuum contamination without breaking the seal.

Humidity sensors measure hygroscopicity to resolve measurement precision issues caused by optical scattering limitations.

A method derives effective observation volume from time-series particle trajectories to determine concentration without calibration.

Multi-wavelength and multi-angle measurements enable accurate smoke detection while reducing interference from dust particles without adding sensors.

A neural network model calculates erythrocyte sedimentation rate using aggregation curves and blood cell histograms.

An orifice sets a Stokes number range of 0.9 to 1.05 to separate PM2.5 from mixed streams, reducing measurement time compared to virtual impactors.

A coaxial capacitive sensor divides its interior into detection sub-spaces using insulating substrates and a center bearing to monitor abrasive particles.

A particle detection apparatus correlates electric signal pulses across multiple photodetector channels to specify particle attributes accurately.

A BP neural network predicts oil abrasive particle size using extracted voltage curve features from an electromagnetic sensor.

Correction coefficients adjust laser scattering signals to measure PM1.0, PM2.5, and PM10 mass concentrations simultaneously.

Ultrasonic transducer cleans measurement window and mirror using cavitation, preventing fouling that degrades oil droplet size analysis.

A motor-driven baffle plate holder moves relative to a classifying nozzle in an impactor.

Replacing mechanical winding with PCB printing resolves manufacturing inefficiency while maintaining detection reliability.

A hermetically sealed scattered light unit measures particle concentrations using pulsed light signals and a microprocessor-controlled system.

An optical particle sensor uses multiple laser beams to generate independent measurement signals for error detection.

A Venturi injector introduces granules into a regulated air stream for non-destructive pneumatic transport.

A non-linear optical medium transforms input laser beams into complex response functions to model collisional plasma particle distributions.

Reflective surfaces fold the optical path to capture diffused light rays, resolving measurement precision versus device complexity.

Inverse iterative particle extraction removes interference patterns to improve longitudinal resolution and signal-to-noise ratio in digital inline holography.

Multiple series apertures capture off-axis particle signals to resolve the trade-off between measurement precision and device complexity.

A virtual scene generator simulates target substance dissemination and sensor interrogation overlap to evaluate detection performance.

A correlator system applies Fibonacci sequences to set variable sampling times across channels.

Merging XPS surface analysis with XRF bulk detection measures SiGe films without optical metrology reference validation.

A shaped core optical fiber delivers uniform excitation energy to biological samples.

Analyzes scattered light signal durations to determine aerosol particle velocity, eliminating dedicated flow meters and reducing device complexity.

A miniature electrical-mobility aerosol spectrometer uses a 3D-printed body with printed collection plates on a two-sided PCB for particle detection.

A photodetector measures light transmission through a moving sample flow field to detect agglutinated cells without spatial separation.

Machine learning model estimates chemical substance state from production environment time series data.

A micro-channel apparatus measures combined impedance and phase of dispersed pathogens using applied AC voltage for rapid identification.

Dual-camera particle measurement system uses separate illumination intensities for different magnification zones.

A particle sensor infers average diameter and number concentration using serial measurement signals from a charging unit.

Dual-axis rotation expands spatial frequency acquisition range, reducing missing regions and improving refractive index accuracy.