Polymer Melt Pool Imaging for Real-Time Crystallization Control
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Solution Overview
Problem
Existing additive manufacturing processes, such as powder bed fusion, lack real-time monitoring of polymer melt pool crystallization, which affects the quality and mechanical properties of printed parts.
Innovation Solution
An electronic device equipped with a processor and memory is used to capture images of the polymer melt pool during crystallization, measure brightness, and determine crystallization information such as spherulite size and growth rate, providing real-time feedback for process control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time monitoring of polymer melt pool crystallization is implemented, then manufacturing precision and quality control are improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical sensing systems with optical imaging technology. A camera captures images of the polymer melt pool during crystallization, and image processing algorithms extract crystallization information such as spherulite size and brightness changes. This substitution of optical methods for mechanical/thermal sensing reduces device complexity while maintaining measurement precision.
Solution Approach 2:
The patent creates an optical copy (image) of the polymer melt pool state and processes this copy to extract crystallization information. Instead of directly measuring physical properties of the melt pool, the system captures visual information and derives crystallization parameters from image analysis, simplifying the measurement approach.
2Measurement precision
If optical imaging is used to measure polymer melt pool brightness, then measurement precision of crystallization is improved, but device complexity increases
Solution Approach 1:
The patent employs image processing algorithms that automatically analyze captured images to extract crystallization information such as brightness, spherulite size, and growth rate. The system processes its own captured data without requiring additional specialized measurement devices, making the imaging system self-sufficient for crystallization monitoring.
3Manufacturing precision
If real-time feedback control is implemented for cooling profile adjustment, then manufacturing precision is improved, but loss of time increases due to additional control cycles
Solution Approach 1:
The patent implements a feedback control system where crystallization information extracted from images is used to adjust the cooling profile in real-time. The system continuously monitors melt pool brightness and spherulite development, then modifies cooling parameters to achieve desired crystallization outcomes, enabling closed-loop control for improved manufacturing precision.
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 enables real-time observation and control of polymer crystallization, enhancing the quality and consistency of printed parts by adjusting the cooling profile and thermal control during the additive manufacturing process.
Implementation Method 1
As the liquid polymer cools to a solid state, a portion of an object may be formed
Implementation Method 2
the polymer transitions to a solid state
Implementation Method 3
measure brightness of the polymer melt pool in the captured image
Data Source
AI summary
In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to receive an image of a polymer melt pool captured during crystallization of the polymer melt pool. The instructions also cause the processor to measure brightness of the polymer melt pool in the captured image. The instructions further cause the processor to determine crystallization information of the polymer melt pool based on the measured brightness of the polymer melt pool.