Geometric CAD TRIZ Cases

A composite laminate design method optimizes ply sequences and shapes to match desired stiffness using non-traditional fiber angles.

A simulation system generates test scenarios using object editing nodes to define temporal and relational constraints between ego and challenger vehicles.

Continuous flow models simulate military unit movement as virtual fluids to simplify data processing and enhance strategic decision-making.

A design assistance system detects spatial interference between structure members and external objects using three-dimensional coordinate data.

A rendering system projects real objects onto depth planes to achieve accurate occlusion within mixed reality spaces.

A computer-implemented method computes a polyhedral n-1-cycle boundary for modeled objects in CAD systems using simplicial complex projection.

A component configurator detects installation geometry and user movement space to generate geometrically different aircraft component variants.

A server-client system generates proportional graphical elements for leased spaces within a unified visual representation of building occupancy.

A wind turbine layout method generates random candidates and applies pre-screening to select a subset for detailed optimization.

Dual format storage synchronizes engineering object data across distinct CAx applications for seamless multi-user editing.

System models karst formations using fracture skeletons to predict geological properties and prevent lost circulation during drilling.

A configuration system uses link hotspots to couple attributes with aspects in a digital database for asset components.

An inspection result analysis device applies non-negative matrix factorization to substrate data for precise feature identification.

Extract editable feature curves from tessellated mesh data to resolve cluttered displays and restore intuitive editing of complex 3D models.

Segmented fractal channels improve anti-clogging reliability without increasing device complexity, extending operation up to 840 hours.

An augmented virtual model integrates sensor data to track facility performance metrics in real time.

Copying shell architectures from unicellular organisms reduces design complexity and calculating time for energetically optimized structures.

A computer-aided design system processes digital data of composite components to evaluate assembly risks through geometric analysis.

A neural network classifies architectural data to generate vectorized polygon representations for editable maps.

Spatial adhesive mapping systems generate 3D bead maps to verify application geometry against nominal envelopes.

Machine learning models analyze environmental context to automatically adjust lighting states, eliminating cumbersome manual control interfaces.

Automated semantic links connect product model features to enterprise knowledge libraries for immediate producibility alerts.

A cluster-based power architecture interface displays graphical links between integrated circuit components and interactive violation clusters.

A stereoscopic image display system superimposes customer image data onto container shape models to generate visual previews.

A computer generates seating symbol data by accepting position coordinates and direction inputs from a user.

A modeling method constructs non-axially symmetric end wall curved surfaces in a cascade channel to control airflow direction.

A design method identifies key parameters influencing greenhouse gas emissions in buildings through standardized macro-component segmentation.

Knowledge distillation transfers design accuracy to lightweight models, resolving the trade-off between calculation burden and parameter confidentiality.

Statistically equivalent safety modeling segments aircraft fleets into sub-fleets based on distinct usage profiles to determine precise reliability values.

A parametric configurator generates optimal product configurations using geometric and physical parameters to automate design workflows.

Neural networks trained on mode-shape parameters predict transition points, reducing simulation time and user interaction during early aircraft design.

Simulation method derives correction parameters from coordinate comparisons to align aircraft airframe sections.

A method identifies memory macro cell coordinates to automate power supply network arrangement and simplify chip design processes.

Algebraic expressions replace numerical simulations to calculate protection factors, eliminating calculation delays while maintaining prediction accuracy.

A voice-controlled editing apparatus updates conductive paths via acoustic commands.

Gaze tracking adapts CAD interface complexity to user skill levels, reducing novice learning curves.

A CAD plotting method uses equilateral triangles and parallel lines to divide angles into equal parts with high precision.

A method calculates transmissibility between adjacent unstructured grids using centroid distances and seepage direction vectors.

Automated grid detection replaces equal elements with structured data in CAD models.

Graphical elements map electrical signal values to spatial attributes for interactive circuit visualization.

Automated topology optimization updates design parameters using machine learning surrogate models to predict structural behavior during additive manufacturing.

A deep learning model fuses logistic regression and WaveNet branches to predict axial compressor stall events.

A stay cable tension calculation method using dimensionless parameters to incorporate sag, inclination angle, and bending stiffness effects.

A bridge layer translates uncompiled scripts into compiled CAD kernel operations to enable parallel task execution.

A posture calculation unit adjusts human body models based on physique data to maintain optimal operating positions in virtual spaces.

Recurrent neural network predicts iteration skips in radiosity calculations, reducing memory storage requirements for large finite element environments.

A pyram-shaped deep-sea pressure-resistant shell combines conical, annular, and cylindrical sections to optimize internal space utilization.

A method generates role-specific digital model views by assigning building element data to user roles.

Simulation method predicts post-collision vehicle door opening force by modeling component deformations, reducing physical testing time and cost.

A deep neural network trained on rendered and natural images retrieves 3D objects from single 2D inputs using a similarity metric.