Abstract: A machining parameter automatic generation system includes a geometric data capturing module, a feature recognition learning network and a machining parameter learning network. The geometric data capturing module captures a geometric shape of a workpiece to generate a candidate feature list. The feature recognition learning network trains the candidate feature list according to a first neural network model to obtain an applicable feature list. The machining parameter learning network trains the applicable feature list and the candidate machining parameter according to a second neural network model to obtain an applicable machining parameter. The applicable machining parameter is used to generate a machining program, and the machining program is read by a machine tool for processing.

Abstract: A cutting unit for a packaging machine comprises a cutting knife which is movably guided in a linear guide, and a drive for driving the movement of the cutting knife. The cutting unit further includes a curved push rod that is provided between the drive and the cutting knife.

Abstract: An optical aligning apparatus includes: a pendulum disk having a laser illuminator mounted in a lower portion of the pendulum disk, a multiple-pole magnet annularly formed on a collar concentrically secured on a shaft of a rotary machine, an electromagnetic coil device secured in the pendulum disk and rotatably disposed around the multiple-pole magnet formed on the collar; whereby upon rotation of the rotary machine to simultaneously rotate the magnet on the collar secured on the shaft relative to the electromagnetic coil device on the pendulum disk which is gravitationally pendent and stationary, the electromagnetic coil will be electromagnetically induced to produce electricity to power the laser illuminator for projecting a laser optical line to an object for alignment or marking in order to be processed by the rotary machine.

Abstract: A procedure and a device for determining yield of usable pieces from a raw material when or before the usable pieces are produced. Determination of the area of raw material is automated, and pieces of raw material are encoded with a marking indicating the area and other pertinent information. The use of proximity sensors in combination with cutting dies permits the automation of yield calculation. The results of the yield calculation can be viewed on a real time basis and provide feedback to the production process, preventing low-yield production and facilitating balanced production of pieces. Indicators permit an operator to be signaled to increase production of underproduced pieces.