One or more aspects of the present invention relate to a computer-implemented method for part analytics, in particular for analyzing the quality, the machining process and preferably the engineering process, of a workpiece machined by at least one CNC machine. According to these aspects, the method may include providing a digital machine model of the CNC machine with realtime and non-realtime process data of the at least one CNC machine, the realtime and non-realtime process data being recorded during the machining process of the workpiece under consideration; and subsequently simulating the machining process under consideration by means of the digital machine model based at least partially on the recorded realtime and non-realtime process data.

A method for monitoring the machine geometry of at least one gear cutting machine (10), having the following steps: a) measuring a workpiece in a measuring device (20) in order to determine actual data, wherein a workpiece is concerned which was previously machined in the machine (10) on the basis of specification data (VD, ΔVD, MD, ΔMD); b) correlating the actual data with the specification data (VD, ΔVD, MD, ΔMD) in order to thus determine the deviation of a geometric setting of at least one axis of the machine (10); c) storing the deviation of the geometric setting; d) repeating the steps a)-c) after the machining of further workpieces in the machine (10); e) performing a statistical evaluation of several of the stored deviations in order to determine a geometric change in the axis of the machine (10) by considering a predetermined condition and/or rule.

Disclosed is a method for deducing geometrical defects of an optical article turning machine, including a defect value deducing step, during which at least one geometrical defect value is deduced based at least on an indicative information of an optical and/or geometrical data related to an optical and/or geometrical characteristic of a checking piece (10).

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.

Various embodiments of the teachings herein include a method for operating a machine tool comprising: during a machining process in which a first workpiece of a first batch is machined using the machine tool, detecting a measured variable using a detection device of the machine tool; determining a measured value characterizing the machining process as a function of the measured variable using an electronic computing device; and comparing the determined measured value with a reference function determined before the machining process using a reference machining process carried out before the machining process using the machine tool and/or by a further machine tool and stored in an electronic memory device, the reference function characterizing the reference machining process to machine a second workpiece of a second batch.

A method including: a) causing a tool mounted on a machine tool to work on a workpiece, and at least one sensor, which is configured to measure one or more aspects of the tool and/or machine tool, collecting sensor data during said working; b) a measurement device inspecting the part of the workpiece that was worked on at step a) to obtain measurement data; and c) calculating sensor-to-workpiece data calibration information from the sensor data and the measurement data.

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 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.

According to one example, a CNC machine tool system may perform error compensation for improving the accuracy of the geometry (or form) of a machined workpiece to, for example, better than 2 micrometers. To do so, a first machined workpiece may be created using the CNC machine tool system. The CNC machine tool system may create the machined workpiece by jig grinding. Following the creation of the first machined workpiece, metrology of the workpiece error may then be performed on the machined workpiece. The metrology of the workpiece error may be used to create a corrected toolpath trajectory for re-machining. This corrected toolpath trajectory may then be utilized by the CNC machine tool system to machine a second machined workpiece having a geometry (or form) with an accuracy of, for example, better than 2 micrometers.

Embodiments of present disclosure relate to adjusting a robot motion path. In the method for adjusting a robot motion path, a first processing procedure may be performed on a first workpiece to obtain a first product. Then, first process data may be obtained, where the first process data describes an attribute of the first processing procedure for obtaining the first product from the first workpiece. Next, based on the obtained first process data, a robot motion path of a second processing procedure that is to be performed on the first product by a robot may be adjusted. Further, embodiments of present disclosure provide apparatuses, systems, and computer readable media for adjusting a robot motion path.