Investigating Composite Materials TRIZ Cases

See how cameras and image analysis detect weaving defects and contamination on the hidden face

See how cameras and image analysis detect weaving faults and pollution on the hidden face of fi

Through-holes and slanted tab edges enable automatic optical checks of electrode tab folding and alignment without disassembly.

By measuring solvent-specific light transmission, this case determines when wafer protective resin is dry enough to avoid metal film peeling.

OCT enables non-destructive inspection of high-fluorine molded articles, revealing cracks and delamination without slowing production.

Broadband terahertz measurement maps fibre and resin content in unidirectional carbon composites without destructive sectioning.

Near-infrared spectroscopy replaces slow ablation checks to measure adhesive penetration in porous coatings with fast, non-contact process feedback.

NIR spectroscopy replaces destructive resin penetration checks in porous coatings, enabling real-time quality control during pressing.

Near-infrared spectra and multivariate analysis let one measuring head track resin content, curing, and moisture without slowing production.

Predetermined object alignment and infrared ray deflection improve EVOH layer inspection in inclined-wall containers while reducing noise.

Statistical guard bands model undetected whiskers and missing fiber in composite tape layup, reducing rework while maintaining compliance.

Bundled optical strands replace rotating emitters to improve light coupling, reduce loss, and make composite defect checks repeatable.

NIR spectroscopy tracks resin penetration in porous coating materials in real time, avoiding destructive checks and production downtime.

Real-time FTIR spectroscopy and machine learning assess prepreg tack during manufacturing, cutting test time, waste, and roll scrap.

A multi-head NIR approach replaces slow resin-layer sampling by simultaneously tracking curing, moisture, and resin content during production.

Non-contact terahertz tomography enables real-time defect detection during 3D printing without coupling media or X-ray shielding.

Optical sensing detects uneven bed powder adhesion on ceramic compacts, supporting flatter substrates and higher yield.

Laser thickness readings are correlated with material-specific data to measure prepreg fibre content continuously without destructive sampling.

OCT detects internal cracks and delamination in fluororesin molded articles.

An imaging sensor analyzes emerging-light intensity to inspect component side surfaces and internal layers with greater accuracy.

Optical coherence tomography reveals internal delamination and cracking in fluororesin joints for rapid, non-destructive quality inspection.

A frame-mounted laser shearography end effector uses a slave tool changer to switch one robot between composite inspection and repair.

Multi-directional polarization sensors generate 3D surface data to resolve retroreflective behavior in fiber composites.

An optical inspection device detects fiber defects using thermal radiation, eliminating manual handling that damages delicate composite surfaces.

Calibrated infrared spectroscopy determines moisture levels in composite materials, resolving the trade-off between measurement accuracy and field portability.

Embedded optical fibers with quantum dots create non-linear effects to detect fiber misorientation and ply dislocations within composite structures.

Segmented fiber spools adjust position to lay composite materials on uneven surfaces, reducing device complexity.

Single-piece manufacturing merges multiple segments to reduce mold counts and cycle times while maintaining mechanical stability of the blade root.

A narrowband short-wavelength infrared sensor inspects composite absorbent materials at high production speeds.

Mid-infrared spectroscopy assesses heat-induced damage in composites by analyzing reflected energy spectra to predict residual strength.

Optical inspection replaces mechanical scanning by measuring surface thickness variations to detect matrix artifacts, reducing inspection time and cost.

Neural networks analyze 3D images to identify defects, replacing manual inspection and reducing errors.

Solvent washing eliminates visual noise and excessive bleed back in ceramic matrix composite inspection, improving defect discrimination accuracy.

Non-parallel light sheets detect surface defects by measuring intensity changes, eliminating complex camera alignment and reducing data processing time.

Optical transmission scanning detects subsurface defects in fiber reinforced plastic composites using ballistic photon discrimination.

Infrared spectral normalization of background intensities enables accurate cellulose content determination in composite resins.

Cyclic vacuum pressure refreshes reference speckle images in dynamic shearography, distinguishing defects from decorrelation noise in porous honeycomb cores.

A handheld fluorescence probe detects thermal degradation in composites using UV excitation and camera imaging.

A lattice-shaped arrangement of polymer optical waveguides detects structural defects through intensity changes across intersecting paths.

A semiconductor material embedded in ceramic matrix composites enables real-time conversion quality monitoring through p-n junction conductivity changes.

Segmented light sources eliminate mechanical rotation to maintain alignment and minimize transmission loss during composite material defect detection.

A nondestructive optical testing system uses second harmonic generation to predict material failure without damaging components.

Near infrared spectral analysis identifies foreign object debris in composite layups, maintaining structural integrity while enabling faster production speeds.

Optical measurement system correlates absorbance data from high boiling point alkanes to determine asphaltene content accurately.

Optical imaging detects air-pocket regions within bonded laminate layers to assess structural integrity without physical contact.

Ultraviolet irradiation triggers fluorescence from surface contaminants on fiber-reinforced plastic components.

Automated optical detection measures surface reflectivity and color changes to predict coating adhesion, replacing manual inspection.

Quantum dot sensors embedded in composite parts verify bond strength by analyzing emitted radiation blocked by a Faraday cage structure.

An automated fiber placement end effector uses a laminar gas jet and infrared camera to detect surface inconsistencies during composite manufacturing.

Embedding fluorescent agents in polymer composites enables visual damage detection, resolving the trade-off between inspection cost and accuracy.