Laser Power Mapping for Dross-Free AM Overhangs
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Solution Overview
Problem
Additive manufacturing (AM) faces challenges in building overhang structures without forming dross, leading to inconsistent build quality and surface roughness, with existing methods relying on trial and error and failing to produce optimal results.
Innovation Solution
Implementing an intelligent feed forward model using a proportional integral derivative (PID) controller to create a power map that controls laser power during the AM process, maintaining a constant melt pool depth and reducing dross formation by automatically monitoring and adjusting laser energy deposition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional additive manufacturing processes are used to build overhang structures, then the manufacturing capability is achieved, but dross formation occurs leading to poor surface quality and inconsistent build results
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal laser power parameters in a power map before manufacturing. The system determines appropriate laser power levels for different build scenarios (overhangs, bridges, standard sections) in advance, allowing the manufacturing process to execute without real-time decision delays and preventing dross formation before it occurs.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting laser power based on the geometric context. The power map stores different power levels for different situations: reduced power for overhangs to prevent dross, standard power for normal sections, and adjusted power for bridges. This contextual parameter adjustment resolves the contradiction between maintaining manufacturing capability and preventing surface defects.
2Manufacturing precision
If trial and error methods are used to optimize overhang structures, then some build quality improvement may be achieved, but the process is inefficient and does not produce optimal results
Solution Approach 1:
The system performs preliminary optimization by pre-calculating optimal parameters for all possible build scenarios and storing them in a power map. This eliminates the need for time-consuming trial and error during actual manufacturing, as the system directly applies pre-determined optimal settings for overhangs, bridges, and standard sections.
Solution Approach 2:
The patent uses copying by creating a digital power map that stores optimized parameter sets for different geometric contexts. Instead of repeatedly performing trial and error experiments, the system copies and applies pre-validated optimal parameters from the power map to matching build scenarios, dramatically reducing optimization time while maintaining or improving build quality.
3Ease of operation
If constant laser power is used during additive manufacturing, then the process is simple to control, but melt pool depth fluctuates causing dross and poor surface finish
Solution Approach 1:
The patent implements parameter changes by using a power map that selects different laser power levels based on geometric context. The system transitions from constant power to contextual power adjustment: reduced power for overhangs to maintain melt pool depth control, standard power for normal sections, and adjusted power for bridges. This resolves the contradiction by automating parameter selection based on build geometry.
Solution Approach 2:
The system applies feedback by monitoring the laser path and identifying geometric features (overhangs, bridges, standard sections), then automatically selecting appropriate power levels from the power map. This closed-loop approach maintains melt pool depth consistency without requiring manual intervention, balancing ease of operation with 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
The solution effectively eliminates dross formation in overhangs, ensuring smooth surface finishes and improving reproducibility and part properties across different AM machines, addressing the issue of random dross formation and its detrimental effects on part quality.
Implementation Method 1
A laser generates a laser beam across the surface of the powder bed to solidify predetermined areas of each layer
Implementation Method 2
selected areas of a powder bed are solidified in a layer-by-layer manner to form a workpiece
Data Source
AI summary
A laser powder bed fusion additive manufacturing system for producing a part by creating a power map that is an intelligent feed forward model to control the laser powder bed fusion additive manufacturing for producing the part and using the power map to control the laser powder bed fusion additive manufacturing for producing the part. This includes an apparatus for producing a part including a powder bed, a laser that produces a laser beam, a proportional integral derivative controller that creates a power map that describes laser power requirements as the laser moves along a path, wherein the laser power requirements prevent defects in the part.