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A digital twin modeling and virtual-real synchronization method for multi-axis CNC machine tools

A CNC machine tool and twinning technology, applied in the field of CNC machine tools, can solve problems such as incomplete model descriptions, and achieve the effect of reducing inconsistencies

Active Publication Date: 2022-07-01
TIANJIN UNIV OF COMMERCE +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention intends to provide a digital twin body modeling and virtual-real synchronization method for multi-axis CNC machine tools to solve the problem of incomplete model description in complex situations

Method used

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  • A digital twin modeling and virtual-real synchronization method for multi-axis CNC machine tools
  • A digital twin modeling and virtual-real synchronization method for multi-axis CNC machine tools
  • A digital twin modeling and virtual-real synchronization method for multi-axis CNC machine tools

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Experimental program
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Embodiment 1

[0035] like figure 1 As shown, a digital twin modeling and virtual-real synchronization method for a multi-axis CNC machine tool disclosed in this embodiment includes the following steps:

[0036] S1, establish the time-varying coupling mechanism model of the multi-axis feed system, first obtain the structural properties of the multi-axis feed system, including the shape and size, assembly relationship and relative motion relationship, and express them at the geometric layer; then obtain the multi-axis feed system. The mechanical properties of the feed system, including statics and dynamics, are expressed in the physical layer, and the multi-degree-of-freedom rigid-flexible coupling transfer function model of the feed system is obtained by using D'Alembert's theorem and Laplace transform, and then Through the identification experiment, the time-varying rigid-flexible coupling transfer function matrix of the feed system is obtained. The physical layer is a deep-level expression...

Embodiment 2

[0053] This embodiment is mainly to further describe the first embodiment.

[0054] (1) Time-varying coupling mechanism model

[0055] The time-varying coupling mechanism model is the core foundation of the digital twin. In order to ensure the high fidelity of the digital twin, the time-varying coupling mechanism model is modeled from multiple dimensions such as the geometric layer, the physical layer, the behavior layer, and the rule layer.

[0056] At the geometric layer: the structural attributes of the multi-axis feed system mainly include shape and position dimensions, assembly relations and relative motion relations, etc., which are expressed at the geometric layer.

[0057] In the physical layer: The mechanical properties of the multi-axis feed system mainly include statics, dynamics, etc., which are expressed in the physical layer. Aiming at the time-varying dynamic characteristics of the multi-axis feed system, considering the influence of rigid-flexible coupling vib...

Embodiment 3

[0095] Compared with the first embodiment, the only difference is that in S5, after constructing the digital twin reconstruction model in the slow time scale, the digital twin and the physical entity are scanned respectively with T as the period. When the controlled change occurs in a cycle, synchronization is performed from virtual to real; when the physical entity is controlled and changes in a controlled manner, it is synchronized from real to virtual in this cycle; when the physical entity is controlled in a cycle After uncontrolled changes occur in the system, the real-to-virtual synchronization is suspended in this cycle, the physical entity is repeatedly scanned in this cycle, and the uncontrolled changes are identified, and then the digital twin is scanned in the next cycle. From real to virtual synchronization.

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Abstract

The invention relates to the technical field of numerical control machine tools, in particular to a digital twin body modeling and virtual-real synchronization method for a multi-axis numerical control machine tool, comprising the following steps: S1, establishing a time-varying coupling mechanism model of a multi-axis feeding system, first obtaining The structural properties of the multi-axis feed system are used to obtain the multi-degree-of-freedom rigid-flexible coupling transfer function model of the feed system; S2, a data-driven model is established. At the geometric layer, for the transition of the backlash of the feed system, the servo driver is used to collect data. The displacement, velocity and acceleration data of each axis are obtained, and the machine learning method is used to characterize the influence of backlash on the pose change of the multi-axis feed system; S3, establish a signal interface model; S4, digital twin integration; S5, virtual and real Synchronize. The present invention intends to provide a digital twin body modeling and virtual-real synchronization method for a multi-axis CNC machine tool, so as to solve the problem of incomplete model description in complex situations.

Description

technical field [0001] The invention relates to the technical field of numerical control machine tools, in particular to a digital twin body modeling and virtual-real synchronization method for a multi-axis numerical control machine tool. Background technique [0002] At present, the modeling methods of CNC machine tools are mostly limited to a certain aspect of modeling methods. For example, Chinese patent document CN104483900A discloses a semi-closed loop control CNC machine tool ball screw feed system positioning error modeling method, which mainly solves the problem of The key point of the prediction of the positioning error of the feed system due to the change of the ambient temperature and the working temperature of the lead screw is to consider the influence of different installation and support methods of the lead screw on the thermal error of the feed system. Prediction model for positioning error of ball screw feed system of CNC machine tools. For another example,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/414
CPCG05B19/4142G05B2219/34013
Inventor 张雷王勇高翔吴晓强
Owner TIANJIN UNIV OF COMMERCE