Geometric CAD TRIZ Cases

A modular hose analog captures length, bend radius, diameter, and fitting position for accurate remote ordering and manufacture.

Operating-state dynamic matrices estimate node pressure under changing flow schedules, reducing calculation time in pipeline networks.

Curved flow channels and topology optimization cut hydraulic valve block pressure loss and weight while preserving strength for SLM manufacturing.

CAD models and metadata are optimized to assign components to docks while reducing travel distance, congestion, and excessive turns.

Remote pressure and pump load data build a control curve without flow sensors, helping water networks maintain pressure and detect leaks.

Piecewise linear engine models and predictive control improve multivariable thrust and speed control while handling actuator limits in real time.

EC-RBELM predicts turboshaft engine degradation across changing atmospheric conditions by adapting network parameters to reduce multi-step error growth.

A computing system splits long asset inspections into 3D UAV flight segments and launch points to handle battery, radio, and no-fly limits.

BOM, CAD, and compatibility data help identify substitute parts across construction machine models, speeding repairs while limiting spare inventory.

Automated compatibility checks and naming rules help combine industrial device code with fewer errors, less manual rework, and easier updates.

Absolute-coordinate path planning lets inspection drones hold distance and alignment to moving objects for repeatable, accurate image capture.

Finite element comparison guides precise material removal on damaged turbine components to preserve structural integrity and service life.

Automatic comparison of plant dynamic models highlights changes, easing simulator updates across software and reducing manual conversion work.

Strain-signal harmonics and contact angle compensation improve bearing load estimation accuracy while reducing errors from angle variation.

Compares main paths and object sequences in 2D and 3D pipeline plans to detect missing, extra, or misordered connections.

Ontology templates generate BAS visualizations automatically and keep diagrams current as device models and operating data change.

Remote sensors, simulation models, and particle swarm learning cut HVAC energy use while maintaining comfort without on-site audits.

When log-based replay becomes invalid after control changes, virtual simulation regenerates log data to restore accuracy with lower compute cost.

Automatic 2D operating zone modeling combines irregular resource footprints to improve factory layout, space use, and safety.

Precomputed eigenmodes and lookup tables cut flexible rotor simulation time while preserving accuracy as speed and temperature change.

A single graphical model uses variant regions and propagated conditions to replace separate configuration models, cutting memory use and update errors.

Converts stored sensor data into native sensor formats with realistic timing delays to improve intelligent system simulation accuracy.

Iterative CAD optimization uses stress simulation, loading-cycle prediction, and fatigue safety constraints to shape structures against fatigue failure.

A movable platform reproduces uphill, downhill, tilt, and uneven-road motion so autonomous vehicles can train safely with more realistic feedback.

AR overlays guide ply orientation and fastener placement in composite assembly, replacing laser projectors and prototype fixtures.

SMT-based planning sequences additive and subtractive steps to cut post-processing, manufacturing time, and cost in 3D object fabrication.

Heating-circuit disturbance and fluid-temperature response reveal building load shedding capacity without indoor sensors while keeping comfort above thresholds.

Finite element preforming reshapes high-strength steel sheets before final pressing to prevent fractures, wrinkles, and excess thinning.

Combining statistical and physical models improves plant state estimation as equipment deteriorates and flags abnormal model gaps.

A single internal cable carries display signals, touch input, and power between frames, cutting cable clutter and simplifying assembly and repair.

Pipe length features from camera images are matched to design data to identify plant apparatus where wireless tags and markers cannot be used.

Simulation-verified boiler combustion models improve firing stability and efficiency while reducing pollution and model rework costs.

Timed-action simulation of workers, stations, and AGVs improves resource use and throughput for mixed workpiece orders.

Timed-action simulation optimizes workpiece order in a manufacturing cell to reduce idle resources and improve throughput.

Reduced-order 3D gear models capture meshing dynamics, contact loss, and stresses with far less computation than full finite element analysis.

Contextual event enrichment links isolated building subsystem data into real-time, scalable control for more coordinated operations.

A single graphical model uses conditional variant regions to represent multiple configurations while reducing memory use and update errors.

A graph-based event broker enriches building equipment events with context, enabling scalable cross-subsystem management without rigid point integrations.

Scenario-specific indicator sets and historical driving data define unmanned vehicle capability boundaries and expose performance defects more accurately.

Real vehicle sensor logs are varied into realistic actor scenarios, expanding autonomous driving training data without losing realism.

Machine learning extracts plant assets and relationships from engineering diagrams to build asset-centric HMIs with less manual design effort.

A network emulation component mirrors controller and I/O communication so digital twins can support synchronized virtual commissioning.

Symbolic and combinatorial part representations replace heavy geometric planning to test hybrid manufacturability and feasible AM-SM process plans.

Indicator combinations and historical driving behavior define unmanned vehicle coping boundaries, exposing specific defects with more relevant testing.

Computer forming analysis links surface equivalent plastic strain to micro-crack depth, cutting press trials while protecting fatigue resistance.

Numerical simulation and fatigue safety constraints guide iterative CAD shape updates to meet loading-cycle life and prevent failure.

Real-time hydraulic pressure and piston location data let machine learning verify hole cold expansion quality without direct residual stress measurement.

A mirrored mobile GUI captures gestures and target elements to build RPA scripts across heterogeneous devices without mobile programming expertise.

Wireless sensors and zoned temperature regulation keep large aircraft structures thermally stable during CAMS measurement to prevent distortion.

Angling anchors to match transverse and tensile loads raises edge-area capacity in concrete or masonry without larger diameters or higher breakage risk.