Additive Manufacturing Parameter Mapping for Uniform Build 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 modifying parameters like laser power, scan speed, and hatch spacing based on the recoater direction, recoater force, gas flow direction, and gas flow rate to account for varying packing densities across the build area, creating a uniform part.
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 and material properties are non-uniform across the build plate
Solution Approach 1:
The patent implements local quality by dividing the build plate into multiple zones and assigning different laser parameters to each zone based on its specific inducing variables. The slicing software modifies laser power, scan speed, and hatch spacing locally rather than applying uniform parameters across the entire build plate, thereby achieving consistent material properties despite varying recoater and gas flow conditions in different regions.
Solution Approach 2:
The patent applies dynamics by making laser parameters dynamic and adaptive rather than static. The system automatically adjusts laser parameters in real-time based on the inducing variables (recoater direction, gas flow direction, etc.) for each location on the build plate, enabling the manufacturing process to respond to local conditions and achieve uniform results across the entire build area.
2Manufacturing precision
If uniform laser parameters are used across the build plate, then the control system is simple, but the packing density variations cause non-uniform porosity and microstructure
Solution Approach 1:
The patent implements local quality by modifying laser parameters (power, scan speed, hatch spacing) based on the local packing density caused by inducing variables. Each zone on the build plate receives customized parameters that compensate for its specific packing density variations, ensuring uniform porosity and microstructure throughout the part despite differences in powder bed conditions across the build plate.
Solution Approach 2:
The system incorporates feedback by using the inducing variables (recoater direction, gas flow direction, etc.) as input to automatically determine the appropriate laser parameters for each location. This feedback mechanism allows the system to adapt to local packing density variations and adjust parameters accordingly, achieving consistent material properties without manual intervention.
3Productivity
If the recoater system and gas flow are arranged for efficient powder delivery, then the manufacturing efficiency is high, but the surface finish and material properties become non-uniform
Solution Approach 1:
The patent resolves this contradiction by applying local quality - the recoater system and gas flow can maintain their efficient configurations while the laser parameters are locally adjusted to compensate for the resulting non-uniform powder packing. By modifying laser power, scan speed, and hatch spacing based on inducing variables in each zone, the system achieves both efficient powder delivery and uniform surface finish.
Solution Approach 2:
The patent applies parameter changes by systematically varying laser parameters (power, scan speed, hatch spacing) as a function of location on the build plate. These parameter changes compensate for the non-uniform effects of the recoater and gas flow arrangements, allowing the system to maintain efficient powder delivery while achieving uniform surface finish and material properties across the entire build area.
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 consistent material properties and improved precision, allowing for the production of parts with superior surface finish, porosity, and tensile and fatigue properties, reducing the need for multiple iterations in part design.
Implementation Method 1
control a laser... to optimize the resulting melt pool characteristics
Implementation Method 2
optimize the resulting melt pool characteristics
Data Source
AI summary
A computer-implemented method for additive manufacturing can include receiving, by one or more computing devices, three-dimensional model data, and receiving, 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 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.