G05B2219/45161

DIGITAL TWIN CONTROL SYSTEM FOR PRODUCT PROCESSING QUALITY

The present invention belongs to the field of quality control of processed products, and discloses a digital twin control system for product processing quality. The digital twin control system establishes a real-time interactive digital twin system completely matched with an actual processing system according to the working principle of a CNC (Computer Numerical Control) system and the control strategy of a feedback loop of each moving part of the machine tool, extracts real-time following errors of each moving part of the machine tool during processing under different load fluctuations with respect to control needs for product processing quality, and establishes a dynamic digital twin control system for product processing quality through point-to-point real-time mapping, so as to achieve real-time monitoring of product quality. Processing parameters under stable following errors can be obtained based on the established digital twin control system to achieve real-time control of product processing quality.

Processing machine, processing system, and method for manufacturing processed object

In a processing machine 1, an X-axis control unit 33X, in each control cycle Tc, controls the position of an X-axis table 9X in the X-direction by feedback. The Z-axis control unit 33Z, in each control cycle Tc, acquires an up-close detection value of the position of the Z-axis table 9Z in the Z-direction, computes a second deviation based on a difference between the acquired detection value and a target position, and controls a Z-axis drive source 23z so that the second deviation is reduced. The Z-axis control unit 33Z, in each control cycle Tc, acquires an up-close detection value of a first error comprised of a deviation of the X-axis table 9 in the Z-direction, and increases or reduces the second deviation based on the detection value of the first error so that at least a portion of an error in a relative position of a workpiece 103 and a tool 101 in the Z-direction originating from the first error is cancelled by movement of the Z-axis table 9Z in the Z-direction.

Digital twin control system for product processing quality

The present invention belongs to the field of quality control of processed products, and discloses a digital twin control system for product processing quality. The digital twin control system establishes a real-time interactive digital twin system completely matched with an actual processing system according to the working principle of a CNC (Computer Numerical Control) system and the control strategy of a feedback loop of each moving part of the machine tool, extracts real-time following errors of each moving part of the machine tool during processing under different load fluctuations with respect to control needs for product processing quality, and establishes a dynamic digital twin control system for product processing quality through point-to-point real-time mapping, so as to achieve real-time monitoring of product quality. Processing parameters under stable following errors can be obtained based on the established digital twin control system to achieve real-time control of product processing quality.

GROOVE SHAPE MEASUREMENT METHOD, GROOVE SHAPE MEASUREMENT DEVICE, MACHINING DEVICE CONTROL METHOD, AND MACHINING DEVICE

This groove shape measurement method has a coordinate data acquisition step of acquiring a plurality of pieces of three-dimensional coordinate data (three-dimensional coordinate data set (60)) indicating a shape of a machined groove (9) formed in a machining target object (workpiece (W)) in a machining feed direction (X direction) by a machining device (dicing device (10)) (Step S1), a projection data generation step of generating two-dimensional projection data (62) of the machined groove (9) by projecting the three-dimensional coordinate data onto a two-dimensional plane (two-dimensional plane (61)) perpendicular to the machining feed direction (Step S2), and a cross-sectional profile calculation step of calculating a cross-sectional profile (64) of the machined groove (9) on the basis of the two-dimensional projection data (62) (Step S3).