Geometric CAD TRIZ Cases

Precomputed quadrature weights speed object simulation while preserving accuracy.

User-defined wall lines and corner points align multiple room scans, averaging misalignments for accurate floor plans with less processing.

Plan containers and graphical views make alternative experiment configurations easier to refine and compare interactively.

Identifier-based associations link BIM parts with analysis parts, keeping structural models aligned when either representation changes.

Compare DOE plans interactively as graphical settings and models update in real time.

A phase-occupancy and LBM framework simplifies composite CVI simulation while representing gas transport, reactions, and densification.

Graph neural networks speed building design optimization and reduce repeated structural simulations.

A guided interface collects field boundaries and outlet positions, helping landowners create accurate drainage tile plans remotely.

Pre-positioned anchors in concrete forms provide fastening points for electrical and plumbing work while protecting cured concrete.

This case uses high-connectivity random bead triangulation to produce homogeneous amorphous micro-lattices with isotropic rigidity.

AI intent processing generates scenarios and recommendations for changing construction inputs.

This case shows how automated geometry, meshing, and parameterization simplify BIW finite element modelling without CAD data.

Tensor-train Lattice Boltzmann simulation cuts memory needs for complex fluid flow models.

Automated plant selection speeds water-efficient landscape design while supporting biodiversity.

Geometric analysis and defect injection help EDA tools estimate standard-cell failure rates before silicon testing.

Ghost cells mediate between rigid grids and irregular shapes, eliminating gaps that cause unstable solutions in computational fluid dynamics.

A digital twin platform models heterogeneous critical infrastructure elements to simulate hypothetical sensor data and identify impacted components.

A method reconstructs electrical installation diagrams by injecting test currents and using capacitive sensors to detect device connections.

Assigning topological words to flow patterns reduces calculation time and cost while avoiding local optimum solutions.

Apply in-plane offsets to 3D model surfaces to preserve critical dimensions during additive manufacturing.

Adjusting power trace spacing across metal layers balances routing track utilization, optimizing current carrying capacity and reducing voltage drop.

Virtual reality headset tracks user head position to render immersive 3D architectural models.

System analyzes wall panel interfaces to identify dimensional conflicts before construction.

A system generates augmented reality preview images to visualize vehicle component installation.

An object recognition system retrieves high-resolution digital models from a database to drive 3D printing.

Resolves manufacturability versus design flexibility contradictions by enforcing complex beam network constraints during topology optimization.

A state-space method calculates mechanical response of shield tunnel segments and supports after rectangular opening formation.

A 3D spacecraft model divides irradiation space into meshes to calculate detailed radiation shielding distributions at analysis points.

Radial basis function neural network determines optimal rescue orbital elements for launch vehicles experiencing thrust drop faults.

Multi-scale simulation predicts optimal functionally graded material compositions to prevent delamination caused by thermal expansion mismatches.

A heat exchanger residual self-attention convolution model predicts structural parameters for biomass boiler economizers.

Splitting line IDs into non-overlapping topologies generates pipe system networks, eliminating manual classification errors and reducing processing time.

A non-iterative algorithm estimates PMSM parameters using closed-form expressions derived from measurable electrical quantities.

A graphical modeling environment generates functional effect information by mapping models to architectural structures.

Electronic processor computes concurrence scores between radiologist and computer aided diagnostic findings to generate time dependent user performance metrics.

Grid-based topology in soft body files reduces storage requirements while maintaining accurate textile representation for faster simulations.

Segmenting precise geometry from BIM models into approximate representations for mobile field operations, resolving accessibility trade-offs.

A housing model connects component models via wires to drive electromagnetic noise generation and calculate propagation amounts.

Evolutional deep neural networks evolve parameters to predict partial differential equations across extended time horizons.

A stabilization equation using a non-linear deformation gradient matrix ensures numerical convergence in finite element models.

A software module generates standardized parameters for virtual dummy positioning within vehicle models.

A supersonic nozzle uses a numerically determined bell-shaped contour to optimize gas flow behavior and reduce mechanical wear.

A cognitive system predicts underground utility paths using spatial correlation of geographic features and historical installation data.

Dynamic scheduling and extrapolation modules correct processing latencies, resolving timing inaccuracies in virtual computing unit simulations.

A time threshold model creation system calculates safe braking times using vehicle speed and relative speed data.

Modal decomposition isolates residual terms from flexible-body modes to calculate static stiffness directly from dynamic test data.

Blocks transition between operational states via dynamic switching, resolving the trade-off between simulation accuracy and model complexity.

A voxel-based design model represents 3D geometry as discrete grid units to enable real-time rendering and heat map computation.

A machine learning method generates dimension-reduced feature representations of sensor data to cluster similar driving scenarios.