Thermal Image Subtraction for 3D Part Drag Detection
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Solution Overview
Problem
In 3D printing, part lifting and dragging occur due to issues such as incorrect calibration of imaging devices, inadequate or excessive build material, contamination of energy emitting devices, and thermal gradients, leading to defects like curling and damage to the printing device and parts.
Innovation Solution
A system using a forward-looking infrared (FLIR) camera to capture thermal images and an image analysis module to detect part drag by subtracting thermal images, with remedial actions including adjusting layer thickness, agent deposition, and using an ablation laser to remove protrusions, ensuring proper temperature control and material distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If thermal imaging and image subtraction are used to detect part drag, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent replaces mechanical measurement systems with thermal imaging technology. Instead of using physical sensors or mechanical probes to detect part drag, the system uses infrared thermal cameras to capture thermal images and detect temperature variations caused by drag events. This substitution enables non-contact, real-time detection while reducing mechanical complexity.
Solution Approach 2:
The patent introduces thermal energy as an intermediary to detect part drag. By measuring temperature changes in the build material and part during the printing process, the system indirectly detects drag events without direct physical contact. The thermal images serve as an intermediary medium that translates mechanical drag into detectable thermal signals.
2Reliability
If real-time thermal monitoring is implemented, then part drag detection capability is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic thermal imaging at specific intervals during the printing process rather than continuous monitoring. Thermal images are captured at predetermined layers or time points, allowing the system to detect part drag events while reducing overall energy consumption. This periodic sampling maintains detection reliability for significant drag events while minimizing energy usage.
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
Effectively detects and corrects part drag events, preventing damage to the printing device and ensuring successful part formation by maintaining optimal temperature and material conditions.
Implementation Method 1
A system using a forward-looking infrared (FLIR) camera to capture thermal images
Implementation Method 2
using an ablation laser to remove protrusions
Data Source
AI summary
A system for detecting three-dimensional (3D) part drag includes an infrared image capture device to capture a plurality of thermal images of a 3D part build region of a 3D printing device on which a part is built, and an image analysis module to detect drag of the part based on a difference image produced by subtracting a first thermal image from a second thermal image.