Investigating Moving Fluids/Granular Solids TRIZ Cases

See how an optical dilution medium enables speckle-based micro-turbidity and bacterial contamin

See how fluid modulation and feedback control cancel background absorbance and drift in mid-IR

See how temporal fluid modulation between sample and reference streams reduces background inter

See how parallel transverse lines create a Venturi effect to calm liquid flow in the sensor cha

See how reference photodiodes compensate for LED intensity drift in dye bath absorbance measure

See how wavelength-specific light absorption replaces complex lab methods to enable simple, acc

See how a color sensor detects washing water changes instead of laundry directly to prevent fal

Variable light intensity with feedback extends dishwasher turbidity sensing range and improves accuracy at both low and high turbidity.

Optical monitoring during liquid stay and flow-through detects foreign substances in the flow path and helps locate abnormalities before downtime occurs.

Real-time IR monitoring tracks electrolyte composition and contaminants during battery filling, cutting analysis delay and material waste.

Released interface gases reveal wafer bonding reactions after plasma hydrophilization, making bonded substrate mechanisms measurable.

Optical sensing built into a junction block measures gas concentration accurately while avoiding the extra installation space of separate in-line units.

Laser-based Mie scattering detects battery-pack gas quickly and accurately, enabling earlier fault warnings before thermal runaway.

Laser-based Mie scattering detects battery-pack gas generation early, cutting false alarms and warning before thermal runaway.

A segmented chemical flow path with a height-linked second line reduces bubbles and contamination before photometer testing.

Combining UV/VIS, fluorescence, Raman, absorption, and FLZA resolves ambiguous plastic identification, including black and similar materials.

Fluorometric concentration sensing stops pipe flushing at the right point to recover residual liquid while avoiding product dilution.

Combining inline inspection, field, and external video data improves pipeline failure prediction and reduces uncertainty in integrity management.

UV LED fluorescence sensing and machine learning enable autonomous, real-time water contamination alarms without slow lab testing.

Fluorometric sensing tracks product concentration during pipe flushing, recovering residual liquid while preventing excessive dilution.

Combining in-line inspection, field, and external video data improves pipeline failure prediction and supports targeted risk monitoring.