Automatic Control Devices TRIZ Cases

Uses geometric and physical workpiece properties to replace markers, enabling adaptive machining and in-process quality control.

Image data and learned robot operation commands let grinding robots adapt to weld unevenness and automate precise finishing with less manual tuning.

Force sensors and accelerometers let the tool body itself guide precise machine tool positioning without a separate hand control.

Automatically selecting one feed axis for oscillating cutting reduces user workload, chip adhesion, and machine tool load.

Operator-applied deflection forces move the tool body in another direction, enabling precise setup near inner surfaces without a separate hand control.

Localized sensors and spindle motion correct robot and part deformation during drilling, avoiding slow robot repositioning.

Controlled vibration amplitude keeps the second blade off the screw bottom surface, improving threaded portion accuracy in multi-blade cutting.

Temperature and dimension data are combined to learn correction coefficients that improve machine tool thermal displacement compensation.

Dynamic servo acceleration control after main spindle startup prevents excessive error alarms caused by power source voltage variation.

An onboard optical system measures tool profile and position in situ, enabling precise wear monitoring without tool removal or downtime.

Uses in-process accuracy and compensation data to predict post-correction machine accuracy and avoid unnecessary machine tool adjustments.

A single positioning and dressing setup moves bearing cones across ID, OD, and rib grinding tools to cut handling time, cost, and variation.

Separated acceleration and deceleration feed control breaks chips in automatic lathes while limiting roughness impact and processing time.

Cloud-edge monitoring combines multi-source sensing with edge prediction and cloud model updates to track vibration, tool wear, breakage, and surface quality.

Sensors and control circuitry raise wheel RPM as diameter shrinks, keeping surface speed steady for consistent cuts and longer wheel life.

Laser-machined correction profiles remove measured mounting-surface deviations to restore positioning axis geometry and motion accuracy.

Automatic tool-type detection switches between temperature-based position correction and motor-load control for precise cutting and friction stir welding.

Multi-axis gyro sensing detects router kickback and tilt, enabling alerts or shut-off to reduce injury and workpiece damage.

Separate motor and ambient temperature models are fused with a Kalman filter to improve machining tool thermal displacement compensation.

Backlighting a part through aligned carrier orifices improves optical part-zero detection when surface contrast is too low for reliable setup.

Multi-axis gyro and accelerometer sensing detects kickback, tilt, and excessive acceleration, then triggers alerts and automatic shut-off.

Asymmetric forward and return speeds shorten air cuts in reciprocal machining, preserving chip separation and machining efficiency.

When chips jam during tool evacuation, torque-based diagnosis cancels abnormal withdrawal to prevent breakage and reduce manual recovery.

Chip discharge time is adjusted to tool depth during deep-hole drilling, improving chip removal and reducing tool wear.

Multiple turning passes use shallow outer cuts and deeper inner cuts to shorten machining time, improve chip breaking, and protect tool life.

A spiral closed-curve cutting path machines thin integrally bladed rotor blades with less chatter, smoother surfaces, and higher accuracy.

Oscillating threading passes create air cuts that break long chips, improving chip evacuation and thread root quality.

Sequential hyperparameter tuning cuts trial-and-error time while improving thermal displacement compensation accuracy in machine tools.

Automatic tool-based switching uses temperature for cutting and load for friction stir welding to improve precision and machining efficiency.

Real-time current, power, and speed monitoring switches a normally-on power tool to standby to cut energy use, wear, and safety risk.

Rolling friction compensation can trigger reverse response in feed drives; this case uses feedback state variables to preserve moving accuracy.

Counter-vibration of the tool post damps turning micro vibrations during chip segmentation, improving surface roughness and reducing equipment stress.

Dual imaging and motion detection let a robotic arm track conveyor-moved workpieces accurately while giving operators a stable work view.

By dividing machine operation into actuator-specific subperiods, feedback control runs fast enough on ordinary processors for multi-actuator automation.

Reference interface surfaces let motion subassemblies mate with precise orthogonal alignment, improving rigidity and simplifying service in additive manufacturing.

Actual polishing-condition data predicts tape use and avoids premature replacement that interrupts wafer polishing with end-mark errors.

A two-stage drilling and back-side chamfering approach keeps coaxial holes aligned and chamfers precise despite tight tool access and plate tolerances.

Progressive cutting depths across turning passes reduce outer-surface tool wear while preserving material removal efficiency on CNC lathes.

Recorded input-device motion feeds a neural network that sets machining parameters automatically for faster, more intuitive CAM tool path planning.

A machining door opens only to the minimum area needed for robot workpiece transfer, cutting door energy use and cycle time.

Fracture and deformation analysis predicts milling defects in brittle low-toughness workpieces, enabling cutting parameter adjustment before machining.

Load-based switching of jerk, filter time constants, and control gains suppresses vibration in high-speed parallel linkage equipment.

Adaptive coordination of spindle rotation and tool vibration reduces stripe patterns and improves machined surface finish.

Real-time spindle power and torque tracking identifies stack-material drilling states, enabling parameter adjustment for faster, higher-quality holes.

Contour-based rotary axis control sets movement direction and amount automatically to avoid interference and uncut portions without program edits.

A single 3D calibration block scan detects X and Z offsets, enabling automatic rotary axis correction and fewer milling defects.

Control circuitry adjusts cutting wheel RPM as diameter shrinks, preserving surface speed, cut quality, and wheel life.

Real-time sensor feedback adapts tool motion to heat-treated gear distortion, avoiding collisions and grinding burns during hard machining.

Machine learning updates theoretical drill positions with learned and trend-based coordinates to cut repositioning and improve hole alignment.

A trigger-based spindle recognition method automates packaging machine format changes using measured spindle positions without bidirectional data links.