A strain-sensor measuring hub in the chuck captures cutting forces directly, improving accuracy without reducing machine rigidity.
A robot-mounted optical sensor checks parts during machining, filtering chips and fluid artifacts for fast, accurate dimensional control.
Sensor-based drum speed adaptation keeps road-milling machines out of critical vibration states while reducing wear and fuel consumption.
Strain gauges and laser displacement data enable real-time restraining force control in panel drawing to prevent wrinkles and splits.
Measured temperature and displacement data form a spindle thermal error loop that reveals radial deformation mechanisms more accurately than simulation alone.
A windowless metal cover replaces fragile viewing panels with camera monitoring to improve containment, visibility, and maintenance.
A reflector redirects focused backlight so one image sensor can measure forming tool length and outer diameter with less setup complexity.
Laser shade detection directly corrects machine tool tip position after orientation changes, reducing level differences on curved surfaces.
A grooved metal detector lets one proximity sensor track clamp arm rotation accurately while reducing parts and easing angle-range adjustment.
Battery-less RF microswitches detect piston rod cutout positions without wiring, improving clamp reliability in lubricant-heavy spaces.
Captured tool images are used to estimate mass and center of gravity, letting the changer arm run faster while reducing total tool change time.
Local frequency analysis of motion-sensor signals detects machine-tool vibrations without overloading interface bandwidth, improving position accuracy.
Measured tool dimensions are compared with stored program data to stop wrong or damaged tools before machining causes defects or shutdowns.
Sensor-driven stiffness and clamping adjustment keeps natural frequency in a safe range to avoid resonance and stabilize thin-workpiece machining.