In-Process Stringing Detection and Removal in Additive Manufacturing
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Solution Overview
Problem
3D and 4D printing often results in stringing, a waste material of small plastic strings left on printed models due to incorrect retraction or temperature settings, leading to time loss and resource waste.
Innovation Solution
A visual stringing monitoring system using cameras and a robot agent to detect and remove stringing during the printing process, with machine learning to optimize settings and recycle the filament.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D/4D printing is performed with standard settings, then rapid realization of printed objects is achieved, but stringing artifacts are generated on the printed model
Solution Approach 1:
The system performs preliminary detection of stringing artifacts during the printing process using a camera and image processing, allowing for early identification and removal before the printing is complete. This prevents the need to re-print the entire model, thus maintaining productivity while improving precision.
Solution Approach 2:
The system extracts and removes the harmful stringing artifacts from the printed model using a robot agent with removal tools. By separating the removal function from the printing process, the system can eliminate defects without stopping or restarting the entire printing operation.
2Manufacturing precision
If retraction or temperature settings are increased to reduce stringing, then stringing is minimized, but printing time and material costs increase
Solution Approach 1:
The system uses real-time image monitoring during printing to detect stringing artifacts and provides feedback to the control system. This allows for dynamic adjustment of printing parameters or activation of removal mechanisms, eliminating the need for conservative over-adjustment of settings that would slow down the entire printing process.
Solution Approach 2:
The system enables the printed model to self-correct by automatically detecting and removing its own stringing artifacts during the printing process. This self-service capability eliminates the need for manual intervention or re-printing, reducing both time and material waste.
3Manufacturing precision
If retraction or temperature settings are increased to reduce stringing, then stringing is minimized, but filament resources are wasted
Solution Approach 1:
The system recovers filament from removed stringing artifacts by collecting the excised material and feeding it back into the extruder. This recovery process converts what would be waste material into reusable resource, eliminating the need to discard stringed portions and re-print, thus conserving filament resources while maintaining print quality.
4Manufacturing precision
If stringing is removed manually after printing, then printed quality is improved, but additional time and labor are required
Solution Approach 1:
The system performs automatic detection and removal of stringing artifacts during the printing process itself, eliminating the need for manual post-processing. The robot agent with removal tools automatically cleans the model while it is still on the build plate, saving significant time and labor that would otherwise be required for manual cleanup.
Solution Approach 2:
The stringing removal process occurs continuously during the printing operation rather than as a separate post-processing step. The system monitors and removes artifacts in real-time, maintaining continuous productive action throughout the printing process and eliminating idle post-processing time.
Data Source
AI summary
A computer-implemented method for artifact reduction in additive manufacturing includes monitoring an image of a printing process of an object being printed to detect stringing on the object and recognizing strings on the object in the image. The strings are mapped on the object on a map within a frame of reference relative to the object. The strings are removed from the object in accordance with the map.