3D Printing Monitoring with Segmented Depth Imaging Feedback
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Solution Overview
Problem
Current three-dimensional printing technologies face challenges in ensuring quality conformity during the printing process, particularly in maintaining consistent quality across layers and achieving high precision in large fields of view, which is critical for industrial and medical applications.
Innovation Solution
Integration of a three-dimensional high-precision nondestructive imaging system into the printing device for real-time monitoring, using technologies like OCT, MPM, and CM for longitudinal-depth segmented scanning and transverse splicing, allowing for full-longitudinal-depth imaging and guiding printing parameter optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional printing monitoring methods are used, then the device complexity is low, but the manufacturing precision and quality conformity deteriorate
Solution Approach 1:
The monitoring system is segmented into multiple functional modules: a detection module that captures printing process data, a processing module that analyzes the data, and a control module that adjusts printing parameters. This segmentation allows the system to achieve high manufacturing precision while managing device complexity through modular design.
Solution Approach 2:
The system performs preliminary detection and analysis of printing parameters before actual printing occurs. By pre-processing and pre-adjusting parameters based on detected data, the system ensures quality conformity from the start of printing, reducing the need for complex post-processing and rework.
2Measurement precision
If real-time full-volume imaging is implemented, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
Instead of continuous full-volume imaging, the system performs periodic detection at key stages of the printing process. The detection module captures images at intervals, and the processing module analyzes these periodic snapshots to monitor printing quality, thereby reducing time loss while maintaining measurement precision through strategic sampling.
Solution Approach 2:
The system performs detection on critical regions and key parameters rather than exhaustive full-volume imaging at every stage. By focusing detection resources on the most important printing parameters and potential defect areas, the system achieves sufficient measurement precision with reduced time investment compared to complete volumetric scanning.
Data Source
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AI summary
Provided are a three-dimensional printing on-line monitoring method and system, relating to the technical field of three-dimensional printing, so as to solve the technical problem that the existing three-dimensional printing on-line monitoring systems are limited in imaging volume and cannot realize full-longitudinal-depth imaging. In the three-dimensional printing on-line monitoring method, full-longitudinal-depth imaging monitoring of the whole printing process is achieved by longitudinal-depth segmented scanning of a printing solidified layer and based on a longitudinal automatic splicing algorithm, and synchronous micro-tomography imaging on-line monitoring of the printing is achieved by guiding printing parameter optimization and control of a next depth-increased segment by using in real time a result feedback of the longitudinal-depth segmented being scanned; and at the same time of completing the manufacturing of the printed product, a three-dimensional high-resolution global image of an internal structure of the printed product is acquired, thereby completing quality control.