CNC Digital Twin Feedback Control for Real-Time Quality Monitoring

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Solution Overview

Problem

Existing digital twin systems for CNC processing face challenges due to high sensor requirements, high modeling costs, and difficulties in real-time mapping and optimization, leading to inaccuracies in processing quality and increased production costs.

Innovation Solution

A digital twin control system that directly addresses product processing quality by establishing real-time interactive mapping with the CNC system, extracting following errors through a feedback loop, and implementing a dynamic control strategy to achieve precise monitoring and optimization without additional sensors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional digital twin systems use multiple physical sensors to monitor system status, then measurement precision is improved, but device complexity and manufacturing cost increase

Engineering Contradiction:

Improveprocessing quality monitoring accuracyVSAvoidsensor quantity and system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a virtual copy (digital twin) of the CNC processing system that replicates the physical system's behavior and status. This virtual model allows monitoring and analysis without requiring additional physical sensors, thereby maintaining measurement precision while reducing device complexity

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces physical sensor-based monitoring with a computational model that uses existing CNC system data (position commands, actual positions, feed rates) to calculate following errors and predict processing quality. This substitutes mechanical/sensor-based measurement with information-processing-based analysis

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If digital twin system implements real-time mapping and prediction, then productivity is improved, but computing power requirements and manufacturing cost increase

Engineering Contradiction:

Improvereal-time processing quality control efficiencyVSAvoidcomputing power requirements

Core Design Contradiction:

ProductivityVSPower

Solution Approach 1:

The patent pre-establishes the digital twin model and prediction algorithms before actual processing. The model structure, parameter relationships, and calculation methods are prepared in advance, allowing real-time execution to use pre-computed frameworks rather than performing complex calculations from scratch during processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent focuses computational resources on calculating only the critical following errors and processing quality parameters that directly impact product quality, rather than comprehensively simulating all system variables. This selective approach reduces computing power requirements while maintaining productivity benefits

Inventive Principle:

Principle #16Partial or excessive action

3Reliability

If traditional methods monitor processing status, then reliability is improved, but ease of manufacture deteriorates due to system modification difficulties

Engineering Contradiction:

Improveprocessing quality assuranceVSAvoidsystem modification difficulty

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The patent enables the existing CNC system to monitor and control its own processing quality through the digital twin model. The system uses its own operational data (position commands, actual positions, feed rates) to self-diagnose following errors and predict quality issues, eliminating the need for external sensor installations and system modifications

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The digital twin model serves multiple functions simultaneously: it monitors following errors, predicts processing quality, identifies abnormal conditions, and provides control recommendations. This multi-functionality achieves reliable quality assurance without requiring separate monitoring systems or modifications to the existing CNC architecture

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12447583B2Digital twin control system for product processing quality

Publication Date: 2025.10.21 CHINA UNIV OF PETROLEUM (EAST CHINA)

AI summary

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.