Additive Manufacturing Orientation Alignment for Anisotropic Defects
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Solution Overview
Problem
Additive manufacturing techniques face challenges in ensuring consistent physical properties and minimizing defects due to anisotropic properties and orientation-dependent deformations in generated objects, leading to variations in mechanical, aesthetic, and dimensional qualities.
Innovation Solution
A method using processing circuitry to identify and modify models representing similar objects to ensure consistent orientation within a virtual fabrication chamber, utilizing descriptors and iterative closest point methods to group and align objects for uniform generation, thereby minimizing orientation-dependent defects and enhancing physical properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If objects are generated in additive manufacturing without ensuring consistent orientation, then manufacturing process is simpler and faster, but physical properties become anisotropic and defects increase
Solution Approach 1:
The system performs preliminary orientation alignment by identifying and grouping models representing similar objects before the additive manufacturing process begins. It determines relative orientations using iterative closest point methods and applies rotations to ensure all objects in a group have consistent orientation, thereby ensuring uniform physical properties without requiring complex real-time orientation control during manufacturing.
2Productivity
If objects with different orientations are generated, then productivity increases by reducing processing time, but mechanical and aesthetic qualities become non-uniform
Solution Approach 1:
The system merges multiple object models representing similar objects into groups based on their geometric similarity. It then applies a unified orientation transformation to all objects within each group, combining their generation into a single manufacturing process that produces uniform physical properties while maintaining high productivity by processing multiple objects simultaneously.
3Manufacturing precision
If orientation alignment is performed for all objects, then physical property consistency improves, but computational complexity and processing time increase
Solution Approach 1:
The system segments the set of object models into distinct groups based on geometric similarity and orientation relationships. By processing objects within each homogeneous group separately rather than uniformly across all objects, it reduces computational complexity while ensuring that objects with similar geometries receive appropriate orientation alignment, thereby minimizing processing time without sacrificing precision.
Data Source
AI summary
In an example, a method includes obtaining a plurality of models each representing an object to be generated in an additive manufacturing operation. In some examples the method further includes identifying a set of models of the plurality of models which represent instances of similar objects. The method may include determining whether the objects represented by the models of the set of models are to be generated relatively rotated with respect to one another. In some examples the method further includes, when the objects represented by the set of models are to be generated relatively rotated with respect to one another, providing an indication of the relative rotation.