A piezoelectric sensing module, a piezoelectric sensing module detecting method, and a piezoelectric sensing detection system thereof are disclosed. The piezoelectric sensing module is used for an operating tool. The piezoelectric sensing module includes a piezoelectric sensing film, and the piezoelectric sensing film includes at least a first to a sixth electrodes; wherein the first electrode is disposed between the third and the fourth electrodes, the second electrode is disposed between the fifth and the sixth electrodes; wherein the first and the second electrodes, the third and the fifth electrodes, and the fourth and the sixth electrodes are separated by a certain distance respectively, and a first angle between the first and the second electrodes, a second angle between the third and the fifth electrodes, and a third angle between the fourth and the sixth electrodes each have an included angle of 90 degrees.

The machine tool includes a tool post linearly movable along a direction parallel to an X axis and a direction parallel to a Z axis, a workpiece spindle which retains a workpiece in a condition rotatable about an axis parallel to the Z axis, and an in-machine robot which is installed in a machining chamber and has joints. The joints of the in-machine robot include a base joint rotatable about an axis parallel to the Z axis, and three parallel joints rotatable about an axis orthogonal to the axis of rotation of the base joint, the parallel joints being located on a distal end side of the base joint and successively arranged from the base joint. The axis of rotation of the base joint is displaced from that of the workpiece spindle.

Provided is an information processing method capable of effectively utilizing a variety of types of information collected from a machine tool. The information processing method includes the step of communicating with a plurality of machine tools (S10). The plurality of machine tools each include a sensor to sense information about the machine tool as sensed information. The step of communicating (S10) includes the step of receiving as collected data from each of the plurality of machine tools part information about a part of the machine tool and the sensed information obtained by the sensor. The information processing method further includes the steps of storing in a storage unit the collected data received from each of the plurality of machine tools (S20A, S20B); and based on the plurality of collected data stored in the storage unit, learning a correlation between part information of a machine tool and sensed information obtained by the sensor internal to that machine tool (S32).

A machine tool includes a first motor that receives load fluctuation when the workpiece is processed and a second motor that operates to change the plural kinds of tools. An information processing device takes out the current of the first motor measured by the first current sensor for each signal that occurs at the changing operation of the plural kinds of tools and is measured by the second current sensor, and relatively compares a non-negative function value that has a current value at each taken-out segment as a parameter for each number of times of processing on the workpiece, thereby detecting a tool abnormality for each kind of the tool.

Provided is an information processing method capable of effectively utilizing a variety of types of information collected from a machine tool. The information processing method includes the step of communicating with a plurality of machine tools (S10). The plurality of machine tools each include a sensor to sense information about the machine tool as sensed information. The step of communicating (S10) includes the step of receiving as collected data from each of the plurality of machine tools part information about a part of the machine tool and the sensed information obtained by the sensor. The information processing method further includes the steps of storing in a storage unit the collected data received from each of the plurality of machine tools (S20A, S20B); and based on the plurality of collected data stored in the storage unit, learning a correlation between part information of a machine tool and sensed information obtained by the sensor internal to that machine tool (S32).

A control device includes a control part which generates a torque command based on a resultant command, which is obtained by adding a position deviation, which is the difference between a position command and the actual position of a feed shaft, to an oscillation command to control the feed shaft, and an elastic deformation amount calculation part which calculates the elastic deformation amount of a structure composed of a tool or workpiece and the feeding mechanism therefor based on the torque command. An oscillation command generation part generates the above oscillation command based on the rotation speed of the workpiece, the position command of the feed shaft, and the above elastic deformation amount.

A piezoelectric sensing module, a piezoelectric sensing module detecting method, and a piezoelectric sensing detection system thereof are disclosed. The piezoelectric sensing module is used for an operating tool. The piezoelectric sensing module includes a piezoelectric sensing film, and the piezoelectric sensing film includes at least a first to a sixth electrodes: wherein the first electrode is disposed between the third and the fourth electrodes, the second electrode is disposed between the fifth and the sixth electrodes; wherein the first and the second electrodes, the third and the fifth electrodes, and the fourth and the sixth electrodes are separated by a certain distance respectively, and a first angle between the first and the second electrodes, a second angle between the third and the fifth electrodes, and a third angle between the fourth and the sixth electrodes each have an included angle of 90 degrees.

A numerical control apparatus that is a selection apparatus causes, when an automatic lathe that fabricates a workpiece from a bar is unable to fabricate a workpiece that is a fabrication target from a remaining material that is a remaining part of the bar being machined, the automatic lathe to select another workpiece that the automatic lathe is able to fabricate from the remaining material. The numerical control apparatus includes a selection unit to select, when there are a plurality of other workpieces that are able to be fabricated from the remaining material, a workpiece to be fabricated on the basis of a length of the remaining material and priority.

A machine tool includes a workpiece spindle device which rotates a workpiece, a tool post which can move a tool in a first axis direction (X-axis direction) which is a radial direction of the workpiece and a second axis direction (Z-axis direction) which is an axial direction of the workpiece, and an articulated robot including a plurality of arms, a plurality of joints, and end effectors. The plurality of joints connect the plurality of arms in a rotatable manner around an axis parallel to a third axis (Y-axis) orthogonal to the first axis and the second axis, and the end effectors move in a plane parallel to a movement plane of the tool.

A cutting tool, a turning machine including the cutting tool, and an associated method are provided. The cutting tool includes a tool, a cutting head, a strain gauge, and an accelerometer. The cutting head is located at the tool bar and has a cutting edge. The strain gauge measures strain at the tool bar. The accelerometer measures acceleration at the tool bar or the cutting head. Deflection of the cutting edge is estimated based on output from the strain gauge and the accelerometer. In some embodiments, the accelerometer is arranged close to the cutting edge, while the strain gauge is arranged where the tool bar is susceptible to the largest strain. In some embodiments, low frequency vibrations of the cutting edge are estimated based on measured strain, high frequency vibrations are estimated based on measured acceleration, and medium frequency vibrations are estimated based on output from both sensor types.