3D Component Build Visualization for Melt Pool Quality Feedback
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Solution Overview
Problem
Existing laser melting processes lack effective methods for real-time evaluation and visualization of component quality during the building process, making it difficult to ensure that solidified layers meet requirements for fusion, temperature profile, and density, which can lead to material failure and user complaints.
Innovation Solution
A method and device that capture and store sensor values with coordinate data for visual representation in 2D or 3D, allowing for immediate feedback on component quality, highlighting deviations in solidification, temperature, and density, and enabling adjustments during the process to prevent defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor values are captured during the laser melting process, then component quality can be evaluated, but the complexity of the device increases due to additional monitoring and visualization systems
Solution Approach 1:
The patent implements a feedback mechanism where sensor values captured during the laser melting process are stored with coordinate data and visualized in real-time. This allows the system to monitor component quality parameters (such as melt pool characteristics, temperature, and density) and provide immediate feedback for process adjustment, thereby improving reliability while managing complexity through systematic data handling.
Solution Approach 2:
The patent introduces a visualization apparatus as an intermediary between the sensor detection system and the operator. This intermediary translates complex sensor data into intuitive 2D or 3D visual representations, making quality evaluation easier without requiring direct complexity management of the underlying sensing systems.
2Manufacturing precision
If real-time monitoring of component quality is implemented, then manufacturing precision can be improved, but the time required for the building process increases due to data capture and evaluation
Solution Approach 1:
The patent ensures continuous monitoring during the laser melting process by capturing sensor values in real-time without interrupting the building process. The system continuously tracks component quality parameters throughout solidification, enabling ongoing precision control while maintaining process continuity and minimizing time loss.
Solution Approach 2:
The patent stores sensor values with their coordinate data during the building process, preparing the data for later visualization and analysis. This preliminary data capture and organization allows for efficient real-time evaluation without requiring complex post-processing, thereby reducing time loss while maintaining manufacturing precision.
3Loss of information
If sensor values are stored with coordinate data for visualization, then information completeness is improved, but the loss of information increases due to the complexity of data management and storage requirements
Solution Approach 1:
The patent creates a visual copy or representation of the physical component's quality characteristics by mapping sensor values to coordinate positions in 2D or 3D space. This visual copy preserves all quality information in an accessible format without requiring complex data management structures, as the visualization itself serves as the stored representation.
Solution Approach 2:
The patent transforms quality data from a potentially complex multi-dimensional dataset into visual representations that add spatial dimensionality (2D or 3D views). This dimensional transformation organizes information intuitively, improving completeness while reducing the perceived complexity of data management through visual intuition.
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
Enables real-time monitoring and optimization of the laser melting process, reducing the likelihood of material failure by providing immediate feedback on component quality and allowing for adjustments during the building process, thus ensuring that components meet design specifications.
Implementation Method 1
a laser, the focused laser beam of which impinges on the powder surface and causes the powder to melt within a melt zone
Implementation Method 2
by successive solidification of individual layers of building material which can be solidified by the action of radiation
Implementation Method 3
a detector for capturing electromagnetic radiation which is emitted or reflected by the powder surface
Implementation Method 4
component is produced by successive solidification of individual layers of building material
Data Source
AI summary
Additive manufacturing systems may include a laser melting apparatus, a sensor device, and a visualization apparatus. A laser melting apparatus may form a three-dimensional component by exposing a powder bed to a beam of radiation based on build coordinates, with the beam of radiation providing an energy influx that generates a melt pool in a melt region of the powder bed. A sensor device may capture sensor values corresponding to the melt pool and/or the melt region. A visualization apparatus may display a representation of the three-dimensional component, with the display including the build coordinates and the sensor values in respect of a capture location thereof in the three-dimensional component. The displayed representation may be based on a display output that includes sensor values correlated with build coordinates.