An operational monitoring system for use with a liquid jet cutting system can include an accelerometer coupled to a cutting head of the liquid jet cutting system. The accelerometer can be configured to generate motion data associated with movement of the cutting head. The system can include a computing device operably connected to the accelerometer and having a memory and a processor. The memory can store a planned data set including expected parameters associated with movement of the cutting head along a planned cut path. In some embodiments, the computing device is configured to receive the motion data from the accelerometer and correlate the motion data to the planned data set.

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 invention relates to a machine (1) for fluid jet cutting of a workpiece (2), comprising a stand (4) with two essentially parallel guides (6, 8) at a distance from each other. A control unit (15) is configured to control the motion of the bar, the bar (14) carries one or more fluid jet cutting tools (16A-D). Each end of the bar are arranged to the guides via a first journal means (18A) and a second journal means (20A). The machine comprises a workpiece position measuring equipment (22x, 22x, 22x) for sensing at least two reference positions (x, x, x) of the workpiece (2), and the control unit (15) is configured to operate the motion of the bar (14) from the reference position values (x, x, x) and other operational data. The invention also relates to a method for fluid jet cutting of a workpiece. The invention also relates to a computer program at a machine for fluid jet cutting of a workpiece. The invention also relates to a computer program product at a machine for fluid jet cutting of a workpiece.

Cutting system (10) includes a conveyor (12) for carrying work products (13) past a scanner (200) and then past one or more cutting systems (17). The cutting systems include one or more assembly/units/apparatus (19) arranged in an array or series for cutting continuous strip(s) from the work products (13). The cutting assemblies (19) are carried by a powered system to move the cutter assemblies in spiral, serpentine, back-and-forth or other patterns to cut one or more continuous strips from the work product. The conveyor (12), scanner (200), and cutter systems (17) are coupled to and controlled by a computer (220).

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.

A geometric model fitting based calibration process determines offsets between the actual tool center point and theoretical tool center point of a numerically controlled machining system, thereby enabling the system to apply compensation to the offsets in order to align the actual and theoretical tool positions.

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 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.