Abstract: Processing data during polygon processing is stored in the processing data storage unit 17. The position detection unit 18 detects a cut-start position A and a cut-end position B of a workpiece based on a change in the processing data. The position detection unit 18 detects a processing surface based on the cut-start position A and the cut-end position B.

Abstract: A motion control system and a motion control method are provided. The motion control method includes: sending a plurality of machining commands to a second controller by a first controller at a cloud; storing the plurality of machining commands in a buffer by the second controller; and operating the machine tool according to the plurality of machining commands stored in the buffer. As such, when poor communication occurs between the first controller and the second controller, the second controller causes the buffer to send a deceleration command to the machine tool so as to cause the machine tool to operate at a reduced speed, thereby avoiding unexpected motion such as sudden shutdown of the machine tool and damage to machined products.

Abstract: A wax model of a required coping is produced using CNC machining techniques based on a virtual model of the coping created from digital data obtained from the intraoral cavity. The dental coping is then fabricated from the wax model.

Abstract: A control device of a machine including: an operating condition analyzing unit that analyzes an operating condition of the program, and performs a notification when the tool to be exchanged is not adjusted; an operating condition storage unit that stores the operating condition of the program at a time of exchanging the tool; a state restoration confirming unit that confirms whether an internal state of the machine and/or the control device is restorable so that an operation of a predetermined block of the program is performed again after the operation and a stop of the predetermined block after exchanging the tool; and a state restoration executing unit that, in a case in which the internal state is confirmed to be restorable, restores the internal state to a state at the time of exchanging the tool based on the stored operating condition of the program at the time of exchanging the tool.

Abstract: A machine tool includes: a cutting tool; rotating means; feeding means; and vibration means for reciprocatingly vibrating the cutting tool and the workpiece relative to each other; wherein the cutting process is carried out by a relative rotation of the workpiece and the cutting tool, and feeding of the cutting tool, to thereby move the cutting tool continuously along a plurality of predetermined movement paths each having a different machining feeding direction. The machine tool further includes vibration restriction means that operates as the movement of the cutting tool changes from one movement path of two consecutive movement paths to the other movement path, for restricting the reciprocating vibration for a predetermined period from the movement starting position of the movement paths, and starting the reciprocating vibration after the lapse of said predetermined period.

Abstract: A method for capturing a tool path, applicable to a machine tool having a controller and furnished with a tooling, includes the steps of: obtaining a data update frequency of the controller; calculating a feed rate of the controller, determining whether or not the feed rate is obtained, going to next step if positive, and going to the previous step if negative; reading G-codes of the controller to confirm the feed rate; and, based on the confirmed feed rate, recording machine coordinates transmitted from the controller for synthesizing a tool path file. The tool path file is used for simulation and analysis of machining of the machine tool. In addition, a device for capturing the tool path is also provided.

Abstract: A method includes obtaining data associated with operation of a model-based industrial process controller. The method also includes identifying at least one estimated impact of at least one operational problem of the industrial process controller, where each estimated impact is expressed in terms of a lost opportunity associated with operation of the industrial process controller. The method further includes presenting the at least one estimated impact to a user. The at least one estimated impact could include impacts associated with noise or variance in process variables used by the industrial process controller, misconfiguration of an optimizer in the industrial process controller, one or more limits on one or more process variables, a quality of at least one model used by the industrial process controller, a quality of one or more inferred properties used by the industrial process controller, or one or more process variables being dropped from use by the industrial process controller.

Abstract: A direct pose feedback (DPF) control method applied to a DPF controlled machine is provided. The DPF control method includes a pose compensation control in addition to the position feedback control. The pose compensation control includes an initiation step, a reference system step, an actual pose calculation step and a position compensation step. The sum of the primary driving value and the compensation driving value is output to the driver of each of the motors. The advantage of the DPF control method is that the existing real-time position control loop in the controller can remain unchanged, while the pose compensation control is added to eliminate tool pose error resulted from geometric errors in the machine. The DPF controlled machine uses a pose measuring mechanism to measure the actual pose of the tool and to compensate the tool pose error. Hence, the DPF controlled machine is free of geometric errors.

Abstract: A control device is configured to control operation of a drive unit and monitor a rotational balance of a rotating body, for a machine tool including the rotating body that is rotatable around a predetermined axial center in a state of fixing a workpiece and on which an adjusting tool that can adjust the rotational balance is arrangeable, and the drive unit that rotates the rotating body, and the control device includes: a physical quantity acquiring unit configured to acquire at least one physical quantity indicating a rotational state of the rotating body, the physical quantity being changed in response to an adjustment of the rotational balance; a comparing unit configured to compare a plurality of physical quantities having different acquisition times; and an output unit configured to output a comparison result.

Abstract: The disclosure is a rotation center measurement method of a multi-axis processing machine which relatively moves tables on which a work piece is placed and a tool for processing the work piece by control of rotation axes based on a processing program, and the rotation center measurement method is characterized to include: a processing program acquisition step in which the processing program is acquired; a processing program analysis step in which command angles of tool postures are read from the processing program and analyzed, and measurement angles are calculated based on the analysis results; and a geometric deviation measurement step in which a reference sphere is placed on the tables and the tables and the tool are relatively moved to measure a position of the reference sphere, and directions and positions of rotation centers of the rotation axes are calculated.

Abstract: A numerical control device for controlling a plurality of drive shafts to drive a tool and cause the tool to cut a workpiece while vibrating the tool in a fixed vibrating direction regardless of a cutting direction, a comparison unit that compares a command value of a cutting depth with an actual value of the cutting depth based on a vibration amplitude of the drive shaft when the vibrating direction and the cutting direction are not the same as each other, the cutting depth being a difference between a position of a face to be machined of the workpiece before machining and a position of the machined face after machining; and an adjustment unit that adjusts a movement of the tool so that the actual value becomes smaller when the actual value is larger than the command value.

Abstract: A method for controlling one or more scent delivery units includes maintaining one or more scheduled events, maintaining one or more scheduled anti-events, and generating, based on the one or more scheduled events and the one or more scheduled anti-events, command data to be communicated to the one or more scent delivery units to control their activation and deactivation. Generating the command data includes identifying a conflicting period of time during which control specified by the one or more scheduled events differs from control specified by the one or more scheduled anti-events and also includes generating command data that gives priority to control specified by the one or more scheduled anti-events. Control for the one or more scent delivery units during the conflicting period of time is in accordance with control logic of the one or more scheduled anti-events and not the one or more scheduled events.

Abstract: A machine tool includes a tool that machines a workpiece while being contact with the workpiece, a state-quantity-data acquisition unit that acquires state quantity data of the workpiece and of the tool, a state-quantity-estimation-data calculation unit that calculates state quantity estimation data from a simulation model including a device dynamic characteristic model indicating a dynamic characteristic of the tool and a workpiece model indicating a target shape of the workpiece, and a machining-state calculation unit that calculates machining state data indicating a machining state of the workpiece based on the state quantity data and the state quantity estimation data.

Abstract: A numerical control apparatus includes a processor that loads a basic function processing object in which basic function processing for executing a basic function on a control target is compiled and an additional function processing object in which additional function processing of executing an additional function on the control target is compiled, and develops an additional function processing unit and a basic function processing unit on a RAM, where the basic function processing object includes an identifier for identifying the additional function processing, and the processor develops a machining program used for controlling the control target on the RAM, accesses a location on the RAM corresponding to the identifier when there is a command to execute processing corresponding to the identifier during execution of the machining program, and executes the additional function processing corresponding to the identifier.

Abstract: A servo controller 20 includes: an oscillation command generating unit 23 that generates an oscillation command for causing the workpiece W and the tool 14 to relatively oscillate; at least one of a position control unit 22 that generates a position command for causing the workpiece W and the tool 14 to relatively move, a speed control unit 24 that generates a speed command for causing the workpiece W and the tool 14 to relatively move, and a current control unit 25 that generates a torque command for driving the plurality of axes; and a gain changing unit 21 that changes a control gain, in which the oscillation command generating unit 23 transmits a signal outputted when oscillating operation is started to the gain changing unit 21, and the gain changing unit 21 changes the control gain.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: The invention discloses a MIMO different-factor compact-form model-free control method. In view of the limitations of the existing MIMO compact-form model-free control method with the same-factor structure, namely, at time k, different control inputs in the control input vector can only use the same values of penalty factor and step-size factor, the invention proposes a MIMO compact-form model-free control method with the different-factor structure, namely, at time k, different control inputs in the control input vector can use different values of penalty factors and/or step-size factors, which can solve control problems of strongly nonlinear MIMO systems with different characteristics between control channels widely existing in complex plants. Compared with the existing control method, the inventive method has higher control accuracy, stronger stability and wider applicability.

Abstract: A control device for a machine tool and a machine tool capable of easily performing cutting with vibration according to the amount of feed is provided. A control device (180) for a machine tool comprises a control means (181) for controlling the relative rotation and feeding of a cutting tool and a material, the control means performing control such that cutting is performed with vibrating the cutting tool relative to the material by combining a forward feed movement in the machining direction, in which the cutting tool machines the material, and a return movement in the counter-machining direction.

Abstract: The invention discloses a MIMO different-factor partial-form model-free control method. In view of the limitations of the existing MIMO partial-form model-free control method with the same-factor structure, namely, at time k, different control inputs in the control input vector can only use the same values of penalty factor and step-size factors, the invention proposes a MIMO partial-form model-free control method with the different-factor structure, namely, at time k, different control inputs in the control input vector can use different values of penalty factors and/or step-size factors, which can solve control problems of strongly nonlinear MIMO systems with different characteristics between control channels widely existing in complex plants. Compared with the existing control method, the inventive method has higher control accuracy, stronger stability and wider applicability.

Abstract: A method and apparatus for performing automated supervision and inspection of an assembly process. The method is implemented using a computer system. Sensor data is generated at an assembly site using a sensor system positioned relative to the assembly site. A current stage of an assembly process for building an assembly at the assembly site is identified using the sensor data. A context for the current stage is identified. A quality report for the assembly is generated based on the sensor data and the context for the current stage.