To provide a numerical controller for facilitating mass production of various types of workpieces in comparison with a prior art, by controlling a rotary index machine or the like having a plurality of machining stations. A numerical controller for a machine tool executes multi-path control for collectively controlling a plurality of paths requiring conveyance operations between the processes when each of workpieces receives a plurality of processes. The numerical controller includes an execution unit for executing a plurality of machining programs each of which is generated for each of the workpieces so as to correspond to each of the paths, the plurality of machining programs including execution commands of the processes and conveyance commands between the processes.

A machine learning device included in a cutting fluid supply timing control device observes operating state data regarding an operating state of a cutting fluid supply device as a state variable representing a current environment state, acquires supply timing data indicating a timing of supplying a cutting fluid as label data, and then learns the operating state data and the supply timing data in association with each other by using these state variable and label data.

Intelligence guided system and method for fruits and vegetables processing includes a conveyor for carrying produces, various image acquiring and processing hardware and software, water and air jets for cutting and controlling the position and orientation of the produces, and a networking hardware and software, operating in synchronism in an efficient manner to attain speed and accuracy of the produce cutting and high yield and low waste produces processing. The 2nd generation strawberry decalyxing system (AVID2) uniquely utilizes a convolutional neural network (AVIDnet) supporting a discrimination network decision, specifically, on whether a strawberry is to be cut or rejected, and computing a multi-point cutline curvature to be cut along by rapid robotic cutting tool.

A controller has a function of stopping an oscillation motion in a non-cutting section in oscillation cutting and includes an oscillation command creation unit and an oscillation command creation determination unit. The oscillation command creation unit outputs an oscillation command, and the oscillation command creation determination unit determines whether or not cutting of a workpiece by a tool is actually being performed and stops an output of the oscillation command during non-cutting.

A display device acquires and displays path information of a feed axis of a machine tool that includes a spindle for relatively rotating a workpiece and a cutting tool and at least one feed axis for relatively feeding the workpiece and the cutting tool and that performs machining on the workpiece while making the cutting tool and the workpiece swing relatively, and includes a display unit and a selection unit, the display unit relatively highlights, in the path information, a selection path which includes the part selected by the selection unit and at least one of adjacent paths preceding and subsequent to the selection path with respect to the path of the path information other than the selection path and the adjacent paths and the selection path and the adjacent paths are paths corresponding to one revolution or a plurality of revolutions of the spindle.

A numerical controller for correcting a deviation amount corresponding to a difference between a theoretical value and a measured value of a workpiece includes a machining unit for storing a machining path of the workpiece and an effective offset number during machining of the machining path in association with each other, a measurement unit for storing a deviation amount applied to the workpiece and a measurement point at which the deviation amount is detected in association with each other, and a correction unit for reflecting the deviation amount to the offset number corresponding to the machining path around the measurement point.

A composite tool cutting monitoring system used for a machine is provided. The cutting monitoring system includes a data capturing module, a database and a cutting control module. The data capturing module is configured to capture a motor current data of the machine and a tool wear data. The motor current data is used as a training data for a tool wear state prediction model to perform deep learning and forecasting. The database is configured to establish a tool wear database for the comparison of a tool wear state. The tool wear state prediction model outputs a tool wear state prediction data to the cutting control module. The cutting control module judges whether the tool wear state is normal according to the tool wear state prediction data.

Regarding a cardboard sheet-cutting device, a cardboard sheet-cutting control unit and a cardboard sheet-manufacturing apparatus, continuous cutting is made during job changes, in which the cardboard sheet cutting width changes, without stopping conveyance of the cardboard sheets, by a printing unit for printing cutting marks on a double-faced cardboard sheet; a slitter scorer for cutting the double-faced cardboard sheet to a specified width; a cutoff for cutting the double-faced cardboard sheet to a specified length; a mark detector for detecting cutting marks; a movement unit for moving the mark detector along the width direction of the double-faced cardboard sheet; and a cutting control unit for performing control to actuate the cutoff on the basis of the detection results of the mark detector and moving the mark detector using the movement unit on the basis of job-change timing data and post-job change mark position information.

A cycle time estimator is a device configured to calculate for each block the time required for movement along a tool path specified by a NC command. The cycle time estimator divides the NC command into blocks, divides the tool path into segments, calculates segment travel times individually for the segments, and holds the correspondence between the blocks and the segments. The cycle time estimator further calculates block travel times by integrating the segments individually for the blocks and displays the blocks and the block travel times in association with one another in an editing screen for the NC command.

Workpieces WP are scanned at a scanning station (14) while being transported on a conveyor (12). A control system (18) analyzes the scanning data to develop a three-dimensional model of the workpiece WP and determine how to portion or trim the workpiece as desired. The cutting/trimming paths made through the workpiece is compared with the predetermined cutting paths to quantify the correspondence (or deviance) of the actual cutting paths from the predetermining cutting paths. This information is reviewed to determine whether the system (10) is operating property. If the alignment of the actual cutting/trimming paths with the predetermined cutting/trimming paths are not within a predetermined set point, the control system (18) seeks to determine the cause of the deviation as well as determine what remedial steps to take to restore the alignment of the actual cutting/trimming paths with the predetermined cutting/trimming paths.