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.

The present invention provides a system and method for wirelessly controlling an operating device by way of a wireless connection between the operating device and a computing device. The computing device provides an interface for controlling the operating device via a control unit which is removably connected to the operating device. The control unit and the computing device communicate wirelessly allowing a user to move about freely while still controlling operating device. Control unit may include at least one valve for use in controlling the operating device.

A facility for automated modelling of the cutting process for a particular material to be cut by a beam cutting tool, such as a waterjet cutting system, from empirical data to predict aspects of the waterjet's effect on the workpiece across a range of material thicknesses, across a range of cutting geometries, and across a range of cutting quality levels, all of which may be broader than, and independent of the actual requirements for a target workpiece, is described.

Air flow management systems and methods to facilitate the delivery of abrasives to an abrasive fluid jet cutting head are provided which enable the makeup of the discharged abrasive fluid jet to be controlled or manipulated in a particularly advantageous manner. The methods may include continuously or periodically measuring a volumetric flow rate of air (or other abrasive material carrier fluid) moving through an abrasive feed passageway at one or more measurement locations and adjusting the volumetric flow rate of air (or other abrasive material carrier fluid) moving through the abrasive feed passageway based at least in part on said measuring. Systems and methods for diagnosing changes in operational conditions and/or changes in the condition of one or more components of an abrasive fluid jet cutting system are also provided.

A method for evaluating a position of a selected sub-space of a nesting plan is provided. The nesting plan is provided for controlling a cutting process of a flatbed machine tool for cutting out workpieces from a material sheet and includes an overlap-free arrangement of respective sub-spaces, the respective sub-spaces corresponding to the workpieces. The method includes providing contour data specifying a cutting contour that delimits the selected sub-space in the position to be evaluated within the planning space, and providing position data indicating respective positions in the planning space of spaces to be considered in the evaluation. The spaces include a group of supported spaces and a group of support surrounding spaces. The method includes providing cutting operation data for at least one section and determining an evaluation value for the position to be evaluated of the selected sub-space using the calculated damage rate of the cutting contour.

A facility for automated modelling of the cutting process for a particular material to be cut by a beam cutting tool, such as a waterjet cutting system, from empirical data to predict aspects of the waterjet's effect on the workpiece across a range of material thicknesses, across a range of cutting geometries, and across a range of cutting quality levels, all of which may be broader than, and independent of the actual requirements for a target workpiece, is described.

A water jets cutting machine includes a first rotating seat driven by a first motor to rotate about a first rotation axis, a second rotating seat driven by a second motor to rotate about a second axis, a water jets cutting head, an inertial measurement unit (IMU) for detecting an inclination angle of the water jets cutting head, and a controller connecting the first and second motors and the IMU. The controller is able to control the first and second motors to instantaneously conduct compensation for angular deviation of the water jets cutting head according to attitude and position signals which are fed back to the controller by the IMU.

A facility for automated modelling of the cutting process for a particular material to be cut by a beam cutting tool, such as a waterjet cutting system, from empirical data to predict aspects of the waterjet's effect on the workpiece across a range of material thicknesses, across a range of cutting geometries, and across a range of cutting quality levels, all of which may be broader than, and independent of the actual requirements for a target workpiece, is described.

A facility for automated modelling of the cutting process for a particular material to be cut by a beam cutting tool, such as a waterjet cutting system, from empirical data to predict aspects of the waterjet's effect on the workpiece across a range of material thicknesses, across a range of cutting geometries, and across a range of cutting quality levels, all of which may be broader than, and independent of the actual requirements for a target workpiece, is described.

The present invention provides a system and method for wirelessly controlling an operating device by way of a wireless connection between the operating device and a computing device. The computing device provides an interface for controlling the operating device. The interface includes a switch for use as a deadman switch, whereby releasing the switch will cease the operation of the operating device. The user may remotely control the operating device via the computing device while the switch is actuated. Upon releasing the switch, the computer device wirelessly halts the operating device for safety.