Layer-less Multi-axis Material Extrusion Toolpath Planning
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Solution Overview
Problem
Current multi-axis material extrusion (ME) technologies face limitations in planning toolpaths for layer-less deposition and optimizing material orientation, leading to suboptimal mechanical performance due to restrictions in deposition directions and bonding issues between layers and regions.
Innovation Solution
A workflow that generalizes ME toolpath planning for layer-less multi-axis deposition, enabling deposition along arbitrary directions and simultaneously optimizing material distribution and orientation using topology optimization methods, with a focus on aligning material orientation with anticipated load paths to enhance mechanical performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If layer-by-layer deposition process is used in material extrusion, then material can be deposited in a controlled manner, but inter- and intra-layer bonds reduce mechanical performance
Solution Approach 1:
The patent transitions from planar (2D) deposition to multi-axis (3D) deposition, enabling material to be deposited along arbitrary directions including Z-axis and intermediate orientations. This dimensional extension allows deposition paths to align with load paths in three-dimensional space, eliminating the mechanical weakness caused by layer-by-layer bonding while maintaining controlled material placement capability.
Solution Approach 2:
The patent changes the deposition parameter from restricted to XY-plane directions to arbitrary 3D directions through multi-axis control. By parameterizing deposition orientation with additional degrees of freedom (build direction and deposition direction vectors), the system can deposit material along optimal load paths regardless of spatial orientation, thereby eliminating inter-layer bonding weaknesses.
2Adaptability or versatility
If multi-axis ME is used to deposit material along arbitrary directions, then flexibility increases, but toolpath planning becomes more complex
Solution Approach 1:
The patent segments the complex toolpath planning problem into two independent parts: (1) topology optimization that determines material distribution and orientation fields, and (2) toolpath planning that generates deposition paths following the orientation field. This segmentation allows each sub-problem to be solved using established methods while achieving overall 3D flexibility.
Solution Approach 2:
The patent introduces an orientation field as an intermediary representation that bridges the gap between desired 3D material orientation and actual deposition paths. The orientation field serves as a mediator that guides toolpath generation, converting complex 3D deposition requirements into a series of oriented paths that follow the field lines, thereby simplifying the planning process.
3Manufacturing precision
If existing topology optimization methods are used for material orientation, then material distribution can be optimized, but they do not account for 3D material orientation variation
Solution Approach 1:
The patent extends topology optimization from 2D planar analysis to 3D volumetric analysis by incorporating orientation fields that vary in three-dimensional space. This dimensional extension enables simultaneous optimization of material distribution and 3D material orientation, allowing the method to handle complex loading conditions in arbitrary directions while maintaining manufacturing precision.
Data Source
AI summary
Disclosed are examples for optimizing topology and toolpath creation for multi-axis additive manufacturing. In some examples, layer-less multi-axis ME is achieved by propagating a support structure, propagating deposition paths aligned to arbitrary directions and following an orientation field for the given geometry, and explicitly ordering deposition paths to avoid collisions. In other examples, layer-less multi-axis ME is achieved by aligning extrudate in a three-dimensional space with the orientation field output by a topology optimization algorithm, planning a suitable support structure to enable multi-axis fabrication, and ordering the resulting deposition paths for collision-free fabrication. The created toolpaths can be transmitted to a multi-axis printer for printing.