Slice Area Distribution Optimization for Additive Manufacturing
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Solution Overview
Problem
In additive manufacturing, variations in slice area between layers lead to uneven builds, heat generation issues, and quality problems due to differences in building time, resulting in shrinkage, density, and surface quality issues.
Innovation Solution
A method and apparatus that calculate and adjust the slice area distribution of 3D designs based on quality metrics to ensure uniformity, using a processor and memory to finalize designs for optimal printing by additive manufacturing apparatuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the object is built layer by layer with varying slice areas, then the 3D design can be manufactured, but the building time varies significantly between layers leading to heat generation and quality issues
Solution Approach 1:
The patent applies dynamics by making the slice area variable rather than fixed. The system dynamically adjusts the slice area at different heights of the build plate to maintain uniform building time across layers. This is achieved through computational optimization that calculates and prescribes varying slice areas, transforming the static slicing approach into a dynamic, adaptive process that responds to the specific geometry and manufacturing constraints of the 3D design.
Solution Approach 2:
The patent changes the parameter of slice area from a fixed value to a variable parameter that is optimized for each layer. By modifying the slice area parameter across different heights, the system achieves uniform building time and eliminates the quality issues caused by varying layer processing times. This parameter change is implemented through computational algorithms that determine the optimal slice area distribution before manufacturing.
2Quantity of substance
If the slice area is large for certain layers, then more material can be deposited, but the building time increases leading to excessive heat generation and shrinkage
Solution Approach 1:
The system dynamically balances material deposition and heat generation by adjusting slice area. Rather than using a fixed large slice area that causes excessive heat, the system prescribes varying slice areas that optimize the balance between material deposition efficiency and thermal management. This dynamic approach ensures that layers with larger material requirements are compensated by adjusting subsequent layer parameters to maintain thermal stability.
Solution Approach 2:
The patent incorporates feedback through computational optimization that analyzes the relationship between slice area, building time, and heat generation. The system uses this feedback to prescribe slice area distributions that prevent excessive heat accumulation while maintaining efficient material deposition. The optimization process considers thermal constraints and adjusts slice areas accordingly, creating a closed-loop approach to parameter optimization.
3Productivity
If the building time varies between layers, then the manufacturing process is simpler, but the material density and surface quality become inconsistent
Solution Approach 1:
The patent applies dynamics by transforming the static, uniform building time approach into a dynamic system where slice areas are specifically optimized for each layer. This dynamic slicing strategy maintains consistent building time across all layers while accommodating varying material deposition requirements, thereby ensuring uniform material density and surface quality without sacrificing manufacturing throughput.
Solution Approach 2:
The system performs preliminary computational optimization before manufacturing to determine the optimal slice area distribution. This preliminary action calculates the precise slice area required for each layer to achieve uniform building time, allowing the manufacturing process to proceed smoothly without mid-process adjustments. The pre-computed slice area prescription ensures consistent material density and surface quality from the outset.
4Ease of manufacture
If the slice area distribution is not optimized, then the manufacturing process is faster to set up, but the final object dimensions do not match the expected dimensions
Solution Approach 1:
The patent applies preliminary action by performing computational optimization of slice areas before the manufacturing process begins. This pre-computation determines the precise slice area distribution required to achieve the target object dimensions, eliminating the need for post-manufacturing adjustments. The setup remains fast because the optimization is automated through software algorithms that quickly compute the optimal slice area prescription based on the 3D design and manufacturing parameters.
Solution Approach 2:
The system uses feedback from the 3D design geometry and manufacturing constraints to optimize slice areas computationally. This feedback loop ensures that the prescribed slice area distribution will produce the expected object dimensions by accounting for factors such as material shrinkage, layer adhesion, and geometric complexity. The automated optimization process maintains setup speed while ensuring dimensional accuracy.
Data Source
AI summary
Methods and apparatuses for distributing slice area of objects more uniformly to optimize the build process of additive manufacturing techniques are disclosed. For example, a slice area distribution of a 3D design is calculated. Further, it is determined if the calculated slice area distribution and/or other aspects of the 3D design meets a criteria based on one or more quality metrics. If the calculated slice area distribution and/or other aspects of the 3D design do not meet the criteria, the 3D design is adjusted. The determination and adjustment may be performed iteratively until the calculated slice area distribution and/or other aspects of the 3D meet the criteria.