Automatic Control Devices TRIZ Cases

A deformable conductive sensor on the tool holder detects impact and stops CNC motion before high-speed collisions cause damage.

Torque sharing between direct and geared drives improves axis dynamics and positioning accuracy while reducing vibration, size, cost, and cooling needs.

Force feedforward split by axis inertia lets hybrid direct and indirect drives improve positioning dynamics while reducing direct-drive load.

Vibration data and resonance analysis identify spindle speed, feed rate, and depth of cut that minimize chatter and reduce setup time.

Linear actuators and vacuum grippers reposition a workpiece on the fixture to correct centerline offset and cut machining setup time.

Calculates blade edge deviation from clamp-surface tilt, shaft phase angle, and protrusion to keep turning tool positioning accurate.

Real-time comparison of target and actual axis motion cuts feed, acceleration, or jerk to suppress vibration and protect surface finish.

Adjustable support point layouts in mirror milling cut vibration and deformation in large thin-walled parts, improving accuracy and surface quality.

Segmented spindle-angle control keeps the cutting edge engaged during eccentric circular machining, improving circularity and avoiding tool damage.

Measured dimension feedback corrects turning tool position to hold 10 µm tolerances without grinding, reducing machining time.

Dividing spindle rotation into intermediate center and radius updates keeps the cutting edge engaged, avoiding intermittent cutting and improving circularity.

Rotating the machine tool table to image top and side views with one camera improves on-machine workpiece position measurement without multi-camera alignment errors.

Repeated neural-network estimates use result variation to flag unlearned machine tool conditions before thermal displacement correction is applied.

Three position sensors and a controller automate angle and depth control in screw driving to prevent overdriving, underdriving, and workpiece damage.

A compact CNC layout splits motion between workpiece and tool holders to cut inertia while preserving rigidity for precise micromechanical machining.

A compact carrier-and-slide layout preserves rigidity and precision in micromechanical bar or strip machining while reducing machine volume.

A coaxial guide roller replaces stopper-based depth control to deburr FSW joints precisely on curved surfaces without scratching.

Coupled C1, Z1, Y1, and V1 axis correction automates gear blank chamfer sizing, shape, and symmetry with less manual setup.

Evaluation formulas and axis constraints guide route search to cut unnecessary motion and reduce load on low-precision machine tool axes.

Precomputed effective-diameter compensation lets NC machining apply JIS tolerance classes easily and keep threaded circles within grade.

Phase-shifted vibration on each thread-cutting pass improves chip separation while keeping numerical control of the spindle and tool coordinated.

Coordinated rotary, X, and Y axis commands keep tool contact fixed on elliptic and eccentric paths, improving finish uniformity and accuracy.

Sets frequency, amplitude, direction, speed, acceleration, and jerk limits to curb resonance-driven machine tool shaking and protect machining accuracy.

Hardware-triggered camera power and PoE let a machine tool camera start in parallel with OS boot, cutting startup delay and energy use.

Automatic trigger-based parameter range setting during machine tool test runs helps limit vibration, cut setup effort, and protect machining accuracy.

Optical positioning replaces manual alignment in horizontal press-fit assembly, reducing deflection and installation errors during pressing.

Two loaders and attachable reversing or shift units move workpieces between machining sections faster while preserving orientation.

Fiducial tracking and z-axis calibration keep guided tools on path while dust extraction preserves marker visibility during cutting.

Synchronizing each tool shaft's vibration with spindle speed enables multi-shaft vibration cutting with precise machining and chip separation.

A sensor outside the processing area starts mist collection only when leaked substances are detected, cutting machine tool energy use.

Programmable feed-axis oscillation breaks chips during hybrid-material drilling, cutting cycle time, thrust, heat, and tool wear.

Temperature-based estimation tracks spindle thermal displacement during cooling capacity changes, helping cut power use without losing machining accuracy.

Workpiece accuracy data and machine state data train a model that adjusts final machining commands for more consistent quality.

Bearing outer ring temperature feedback compensates tool spindle axial drift during dressing and grinding, preserving tool geometry and flank accuracy.

A state-based display switching button guides multi-stage machine tool recovery in sequence, reducing operator workload after errors.

A freewheel braking assembly limits panel exit speed during conveyor or pressure roller faults, preventing dangerous ejection.

Scaling spindle speed fluctuation amplitude and frequency to current RPM keeps speed change rate constant and stabilizes chatter suppression.

Contour-based coordinate mapping matches model points to real workpieces, correcting misalignment and deviation for precise gluing, drilling, and welding.

Detecting the profile end in advance lets the measuring truck stop nearer the pickup point, cutting infeed time and machine idle time.

A robot pre-compensates self-piercing rivet tool bending during joining, improving riveting precision with lightweight long-leg tools.

A sensor near the fixing portion captures weak cutting vibrations in soft materials, enabling accurate impact extraction and processing speed control.

Manual cross-slide input is paired with automatic Z-axis tracking to machine precise tapered surfaces on simple lathes.

Applying a spindle speed difference adds torsional load to long workpieces, increasing rigidity and suppressing chatter during turning.

A spectral confocal sensor and 3D moving platform automate tool setting, cutting alignment errors and scrap in servo valve machining.

Combined CNC and PMC drive signals adjust axis gain during speed switching to suppress synchronization errors and keep machining fast.

Machine learning replaces fixed motor thresholds in power tools, adapting field weakening and detecting kickback from real-time sensor data.

Predictive evaluation and feedback narrow machining parameter trials while maximizing tolerance and adapting to material variation.

Force-sensed handle input and tuned virtual inertia let an actuator-driven stage feel manually moved while preserving precise positioning.

By combining sensor signals with process parameters, this case improves in-process object detection and cuts false alarms in machine tools.

Continuous feed-rate control based on torque and force raises honing speed while reducing load peaks, tool seizure, and return strokes.