Additive Manufacturing Print Files for Uniform Build Plate Properties
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Solution Overview
Problem
Conventional additive manufacturing methods, such as those used in Powder Bed Fusion, fail to ensure uniform surface finish, porosity, and microstructure across the build plate due to the arrangement of the recoater system and gas flow, leading to non-uniform material properties.
Innovation Solution
A computer-implemented method that adjusts local effective energy density in the additive manufacturing process by considering recoater direction, recoater force, gas flow direction, and gas flow rate, creating a print file that modifies laser power, scan speed, and hatch spacing based on location-specific packing density to achieve uniformity across the build area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional slicing software with fixed laser parameters is used, then the manufacturing process is simple, but the surface finish, porosity, and microstructure are non-uniform across the build plate
Solution Approach 1:
The patent applies local quality by modifying laser parameters (power, speed, hatch spacing) based on location-specific packing density across the build plate. Different regions receive customized energy density settings to compensate for variations caused by recoater direction and gas flow, ensuring uniform material properties throughout the part rather than applying a single global parameter set.
Solution Approach 2:
The patent implements preliminary action by pre-calculating packing density variations and determining optimal laser parameters for each location before the actual printing process. The slicing software creates a customized print file with location-specific adjustments based on inducing variables (recoater direction, gas flow rate), allowing the system to proactively compensate for expected non-uniformities rather than reacting to them during printing.
2Manufacturing precision
If location-specific energy density adjustment is implemented, then material property uniformity is improved, but the print file creation process becomes more complex
Solution Approach 1:
The patent applies self-service by enabling the slicing software to automatically calculate packing density variations and generate location-specific laser parameters without requiring manual intervention. The system uses inducing variables (recoater direction, gas flow rate) to autonomously determine optimal energy density for each location, making the complex process transparent and easy to use while maintaining high manufacturing precision.
3Manufacturing precision
If inducing variables (recoater direction, gas flow rate) are accounted for, then part quality and precision are improved, but the processing time and iterations required are increased
Solution Approach 1:
The patent eliminates iterations by performing all necessary calculations and parameter optimizations in advance during print file creation. The slicing software pre-determines the optimal laser parameters for each location based on inducing variables, so the actual printing process executes without trial-and-error cycles, reducing total processing time while maintaining high quality.
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 results in higher precision and quality parts with improved surface finish, porosity, and microstructure, reducing the need for iterations and time in achieving desired additive part designs by ensuring consistent material properties across the build plate.
Implementation Method 1
control laser inputs such as power, speed, hatch spacing, laser focus
Implementation Method 2
optimize the resulting melt pool characteristics
Implementation Method 3
recoater force, recoater direction
Implementation Method 4
gas flow direction, gas flow rate
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
A computer-implemented method for additive manufacturing can include receiving (101), by one or more computing devices, three-dimensional model data, and receiving (103), by the one or more computing devices, one or more inducing variables. The one or more inducing variables can include at least one of a recoater direction, recoater force, gas flow direction, and/or gas flow rate. The computer-implemented method can also comprise creating (105) a print file as a function of the one or more inducing variables to account for the inducing variables to produce a uniform part throughout a build area or otherwise reduce part variability and outputting the print file to a printer or a data storage device.