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.

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.

Systems and methods for providing real-time modification of cutting process programs using feedback from one or more sensors which measure one or more operational parameters of a cutting process and/or cutting apparatus. The sensor readings may be used to provide real-time modification of a motion program after such motion program has been provided to a motion controller. Examples of such operational parameters may include waterjet pump supply pressure, the abrasive mass flow rate, the force of the waterjet on the target piece, etc. The systems and methods discussed herein also utilize a cutting algorithm or program to calculate actual cut quality based on one or more sensor inputs, and to generate warnings or system shut-downs accordingly. The systems and methods discussed herein also utilize inspection devices to inspect coupons or first articles, and use the inspection data to autonomously modify motion programs and/or cutting process models without user intervention.

Systems and methods for providing real-time modification of cutting process programs using feedback from one or more sensors which measure one or more operational parameters of a cutting process and/or cutting apparatus. The sensor readings may be used to provide real-time modification of a motion program after such motion program has been provided to a motion controller. Examples of such operational parameters may include waterjet pump supply pressure, the abrasive mass flow rate, the force of the waterjet on the target piece, etc. The systems and methods discussed herein also utilize a cutting algorithm or program to calculate actual cut quality based on one or more sensor inputs, and to generate warnings or system shutdowns accordingly. The systems and methods discussed herein also utilize inspection devices to inspect coupons or first articles, and use the inspection data to autonomously modify motion programs and/or cutting process models without user intervention.

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.