Fiber Array Multi-Beam Laser Shaping for Metal AM Quality Control
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Solution Overview
Problem
Existing laser additive manufacturing (LAM) systems lack active and adaptive control of laser beam spatiotemporal characteristics and in situ sensing techniques, leading to inefficiencies in productivity, repeatability, and quality of metal additive manufacturing products.
Innovation Solution
The implementation of a multi-beam fiber array laser system with adaptive multi-beam shaping and integrated sensing modules, allowing for real-time control and characterization of laser power distribution and material processing, enabling programmable feedforward and feedback control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single laser beam is used for metal additive manufacturing, then the system is simpler to control, but productivity is limited due to sequential processing
Solution Approach 1:
The single laser beam is segmented into multiple independent beams using a beam splitter array, allowing parallel processing of multiple locations on the powder bed simultaneously. Each beam can be independently controlled to process different regions, thereby increasing productivity without requiring multiple complete laser systems.
Solution Approach 2:
Multiple beam control functions are merged into a single unified control system that manages all beam parameters (position, power, duration) through centralized software. This integration allows complex multi-beam operations to be coordinated efficiently, achieving high productivity while keeping the control system manageable rather than requiring separate control systems for each beam.
2Productivity
If laser power is increased to improve processing speed, then productivity increases, but thermal gradients and material defects increase
Solution Approach 1:
The total laser power is segmented and distributed across multiple beams, allowing the energy to be applied in parallel at lower intensity levels. This segmentation enables faster overall processing while maintaining controlled thermal gradients at each individual beam location, preventing material defects.
Solution Approach 2:
Each laser beam's power, duration, and position can be independently optimized for its specific processing location and material requirements. This local control allows precise adjustment of thermal parameters for each zone, maintaining manufacturing precision while achieving high overall productivity through parallel processing.
3Manufacturing precision
If real-time sensing is implemented to improve quality control, then manufacturing precision improves, but system complexity and cost increase
Solution Approach 1:
The sensing system is designed to perform multiple functions: monitoring melt pool characteristics, detecting powder bed conditions, measuring thermal fields, and verifying dimensional accuracy. This multi-functionality allows comprehensive quality control through a single integrated sensing platform rather than requiring separate specialized sensors for each measurement type.
Solution Approach 2:
Real-time sensing data is fed back to the laser control system, enabling dynamic adjustment of beam parameters during processing. This closed-loop feedback control automatically compensates for deviations and maintains manufacturing precision without requiring complex manual intervention or post-processing inspection.
4Productivity
If multiple laser beams are used to process larger areas, then productivity increases, but beam uniformity and power distribution become harder to control
Solution Approach 1:
Sensors monitor the actual power and position of each beam in real-time, and the control system automatically adjusts parameters to compensate for variations. This feedback control ensures uniform power distribution and consistent processing quality across all beams, even when processing large areas with many parallel beams.
Solution Approach 2:
The system dynamically adjusts beam parameters (power, focal position, scanning speed) based on location-specific requirements and real-time measurements. This parameter optimization ensures uniform processing quality across different zones of the build area, maintaining manufacturing precision while expanding productivity through multi-beam parallel processing.
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 productivity, repeatability, and quality of metal additive manufacturing by allowing precise control of laser power and material processing, reducing thermal gradients and improving microstructure control.
Implementation Method 1
a laser beam scanning element operable to selectively change the position of the fiber tip or the lens in at least two dimensions
Implementation Method 2
a laser is used to heat the metal powder in a desired pattern so that it melts and then cools
Implementation Method 3
a lens positioned on an optical axis of the fiber tip
Data Source
AI summary
A system that uses a scalable array of individually controllable laser beams that are generated by a fiber array system to process materials into an object. The adaptive control of individual beams may include beam power, focal spot width, centroid position, scanning orientation, amplitude and frequency, of individual beams. Laser beam micro scanner modules (MSMs) are arranged into 2D arrays or matrices. During operation of the MSMs, a fiber tip that projects the laser beam is displaced along the x and y-axis in order to scan the focal spot. Each MSM within a matrix can process a corresponding cell (e.g., one square centimeter) during focal spot scanning, and the plurality of MSMs may be operated in parallel to process a plurality of corresponding cells (e.g., with a 10×10 matrix of MSM, 100 cm2) without rastering or otherwise repositioning the assembly over the build surface.