3D Printing Anomaly Detection Using Merged Optical and IR Paths
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Solution Overview
Problem
Current 3D printing technologies, particularly Powder Bed Fusion (PBF) and Directed Energy Deposition (DED) processes, face challenges in consistently detecting and addressing a range of anomalies that affect product quality, leading to structural weaknesses and inefficiencies due to the limitations of existing monitoring systems that focus on specific types of defects rather than providing a comprehensive approach.
Innovation Solution
A sensor fusion methodology combining optical and infrared sensors to merge paths for in-situ detection of anomalies, allowing for the identification of a variety of defect types without modifying existing 3D printing systems, and correlating image-based measurements with quality-control metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If post-process inspection methods are used to detect structural weakness, then detection accuracy is improved, but production time and cost increase significantly
Solution Approach 1:
The patent implements in-situ monitoring during the 3D printing process to detect anomalies such as elevated regions before they cause structural weakness. The optical sensor captures images of the build platform at different stages (before and after laser scanning), enabling early detection and intervention without waiting for post-process inspection.
Solution Approach 2:
The patent replaces physical contact-based post-process inspection methods with non-contact optical sensing. The optical sensor system captures images through the build chamber window, eliminating the need to physically handle and inspect parts after manufacturing, thereby reducing time and maintaining accuracy.
2Reliability
If comprehensive anomaly detection is implemented, then product quality is improved, but system complexity increases
Solution Approach 1:
The patent employs a multi-functional optical sensor system that can detect multiple types of anomalies (elevated regions, structural weaknesses, surface defects) using a single integrated platform. The system captures images at different process stages and uses image processing algorithms to identify various defect types, providing comprehensive quality monitoring without requiring multiple separate inspection systems.
Solution Approach 2:
The patent introduces an optical window as an intermediary element that allows optical sensors to monitor the build chamber contents without physical intrusion. This intermediary enables comprehensive anomaly detection while keeping the monitoring system external to the build chamber, simplifying integration and reducing system complexity.
3Productivity
If in-situ monitoring is implemented during 3D printing, then production efficiency is improved, but system integration complexity increases
Solution Approach 1:
The patent uses an optical window as an intermediary to enable sensor integration without modifying the core 3D printing system. The window allows optical signals to pass through while maintaining the sealed build chamber environment, enabling in-situ monitoring with minimal disruption to the existing printing process and system architecture.
Solution Approach 2:
The patent divides the monitoring process into distinct stages (image capture before laser scanning, image capture after laser scanning, image processing, anomaly identification) that can be independently implemented and optimized. This segmentation allows for modular system integration, where each component can be added or modified without affecting the entire system.
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 approach enhances the stability and quality management of 3D printing processes by efficiently detecting critical errors and reducing resource wastage through in-situ identification of anomalies, improving the structural integrity and mechanical properties of printed products.
Implementation Method 1
an optical device configured to merge the optical path and the IR path to obtain a merged optical path
Implementation Method 2
an infrared (IR) sensor having an IR path
Implementation Method 3
an optical sensor having an optical path
Data Source
AI summary
A monitoring system for in-situ identification of anomalies of a workpiece in a 3D printing manufacturing process is provided. The monitoring system includes an optical sensor having an optical path; an infrared sensor having an IR path; an optical device configured to merge the optical and the IR paths to obtain a merged optical path, which is arranged to be directed to the workpiece during a first stage of a 3D printing manufacturing process to obtain a first perception data; and a processor configured to identify anomalies of the workpiece based on the first perception data. A method is also provided. The method includes steps of: merging an optical path of an optical sensor and an infrared path of an IR sensor using an optical device to obtain a merged path; directing the merged path to the workpiece during a first stage of a 3D printing manufacturing process to obtain a first perception data; and identifying anomalies of the workpiece based on the first perception data.