Material Potential Function for 3D Additive Manufacturing

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Solution Overview

Problem

It is challenging to accurately propagate materials through the interior volume of three-dimensional objects with heterogeneous compositions in additive manufacturing, as existing methods struggle to translate macro-level design intents into 3D unit-level models that account for material property variations.

Innovation Solution

The solution involves defining a material potential function with three parameters: the 3D point of origin, 3D space propagation limits, and a 3D space propagation function, which is used to generate a second 3D digital model for additive manufacturing, illustrating material propagation at the voxel level, and a third model for previewing material distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If existing methods are used to propagate materials through interior volume, then the process is simpler, but the precision of material propagation is insufficient

Engineering Contradiction:
Improvematerial propagation precisionVSAvoidmethod complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the interior volume into discrete 3D units (voxels) and defines material propagation at the unit level. Each 3D unit is independently evaluated against the material potential function, allowing precise control of material distribution throughout the volume. This segmentation enables accurate translation of macro-level design intents into micro-level fabrication instructions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a material potential function that operates in 3D space with parameters including origin point, propagation limits, and propagation function. This mathematical framework adds a functional dimension to the geometric 3D model, enabling precise control over material distribution patterns without increasing physical device complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If macro-level design intents are directly translated to fabrication, then the process is faster, but the material property variations are not accurately accounted for

Engineering Contradiction:
Improvematerial property accuracyVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary evaluation of each 3D unit against the material potential function before fabrication. The system pre-calculates material distribution patterns by evaluating the propagation function across all units, creating a complete material assignment map prior to manufacturing. This preliminary action ensures material property accuracy is established before the actual fabrication process begins.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional mechanical or manual material distribution methods with a mathematical evaluation system. The material potential function and its parameters (origin, limits, propagation function) provide a computational framework that automatically determines material placement, substituting complex mechanical control systems with algorithmic precision.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11565473B2Propagation of a material through an interior volume of a three-dimensional object
Publication Date: 2023.01.31 PERIDOT PRINT LLC
  • US11565473B2 patent drawing
  • US11565473B2 patent drawing
  • US11565473B2 patent drawing

AI summary

An image processing system acquires a first three-dimensional model of an object. The image processing system includes a processor and storage medium encoded with instructions executable by the processor. The instructions include instructions to define a material potential function for a material. The material potential function is a function of a three-dimensional origin point of the material in the object, a three-dimensional propagation limit of the material in the object, and a three-dimensional propagation function of the material in the object. The instructions include instructions to generate a second three-dimensional model of the object based in part on the material potential function and the first model. The second model illustrates propagation of the material through an interior volume of the object at a unit level. A controller generates control signals based on the second model, and a fluid ejection engine performs an additive manufacturing process based on the control signals.