Digital Twin Laser Processing for Bionic Surface Precision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current laser processing equipment for bionic functional surfaces lacks efficient parameter selection, automation, and precision, particularly for large-scale manufacturing, due to the absence of a database system for automatic acquisition of laser parameters and a human-computer interaction interface for direct input of bionic information, leading to low processing efficiency and accuracy.
Innovation Solution
A digital twin-based intelligent manufacturing system that includes a human-computer interaction system, programming control system, and processing execution system, utilizing a 3D model editor, bionic processing unit constructor, high-performance computer, laser controller, and six-degree-of-freedom joint robot to automatically generate and synchronize control command sequences for precise laser processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual parameter optimization through preliminary tests is used, then processing quality can be improved, but processing efficiency deteriorates due to large workload and prolonged processing cycle
Solution Approach 1:
The patent pre-establishes a bionic process parameter database containing optimized laser processing parameters for different bionic surface requirements. This preliminary preparation eliminates the need for manual parameter optimization through preliminary tests during actual production, allowing direct input of bionic information to automatically acquire accurate parameters and immediately execute processing, thus resolving the contradiction between processing quality and efficiency
Solution Approach 2:
The patent creates a digital twin model of the bionic surface that can be directly input into the system. This digital copy contains all necessary geometric and process information, enabling automatic parameter acquisition and processing execution without manual intervention, thereby improving both processing quality and efficiency simultaneously
2Extent of automation
If simple online programming by staff is used, then device complexity is reduced, but automation degree deteriorates and processing accuracy is limited by staff experience
Solution Approach 1:
The patent implements an automated system where the processing scheme generator automatically generates optimal processing paths and parameters based on the input bionic information and digital twin model. The system self-services by automatically acquiring parameters from the database, generating control command sequences, and executing processing without staff intervention, thereby achieving high automation while maintaining manageable complexity through modular system design
Solution Approach 2:
The patent introduces a processing scheme generator as an intermediary component that bridges the gap between simple input (bionic information) and complex processing execution. This intermediary automatically translates requirements into optimized processing paths and control commands, enabling high automation while keeping the user interface simple and the overall system complexity manageable
3Adaptability or versatility
If fixed laser processing equipment is used, then device complexity is reduced, but adaptability deteriorates when processing different scales and types of workpieces
Solution Approach 1:
The patent employs a six-degree-of-freedom joint robot that provides dynamic and flexible positioning capabilities for the laser processing head. This robotic system can adapt to different workpiece sizes, shapes, and positions, enabling the processing of various scales and types of workpieces while maintaining a relatively simple equipment configuration through software-based adaptability
4Manufacturing precision
If multiple preliminary tests and manual adjustments are required, then processing precision can be improved, but loss of time increases due to extended preparation and optimization cycles
Solution Approach 1:
The patent pre-establishes a comprehensive bionic process parameter database containing optimized parameters for various bionic surface requirements. This preliminary preparation eliminates the need for time-consuming manual parameter optimization and multiple preliminary tests during actual production, allowing direct input of bionic information to automatically acquire accurate parameters and immediately execute processing with high precision
Solution Approach 2:
The patent creates a digital twin model that serves as a virtual copy of the bionic surface, containing all necessary geometric and process information. This digital copy enables immediate automatic parameter acquisition and processing execution without requiring physical preliminary tests and manual adjustments, thereby achieving high processing accuracy while minimizing time loss
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system significantly increases automation and precision, reduces human intervention, and enhances production efficiency by automatically generating laser processing parameters and control programs, enabling the manufacturing of complex-shaped large workpieces with improved quality and flexibility.
Implementation Method 1
the rapid cooling and rapid heating effect of laser processing can improve the organizational structure of a bionic unit body
Implementation Method 2
By adjusting laser processing parameters, laser quenching, laser surface fusion, laser surface alloying, laser surface cladding, laser shock hardening
Implementation Method 3
By adjusting laser processing parameters, laser quenching, laser surface fusion, laser surface alloying, laser surface cladding, laser shock hardening, vapor deposition
Data Source
Figure 1
Figure 2
AI summary
A digital twin-based intelligent manufacturing system, composed of a human-computer interaction system, a programming control system, a twin virtual system and a processing execution system; the human-computer interaction system being used for input and transmission of characteristic parameters of parts to be processed and bionic unit information; the programming control system being used for converting the characteristic parameters of parts to be processed and the bionic unit information into a motion trajectory of a six-degree-of-freedom joint robot and processing parameters, and an integrated synchronization controller on a high-performance computer realizing integrated control on the whole system; the twin virtual system being used for real-time monitoring and offline simulation of processing quality and bionic information during bionic processing, thereby realizing real-time adjustment and feedback of process parameters; and the processing execution system realizing a multi-dimensional motion of a laser processing work head and laser processing of workpieces by means of the laser processing work head arranged at a head end of the six-degree-of-freedom joint robot. The system can be used to well meet the current precision and multifunctional manufacturing needs of engineering bionics using laser methods.