3D Matrix Pattern Integration for Additive Manufacturing Identification

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Solution Overview

Problem

Conventional barcode systems are inadequate for associating data with additively manufactured (AM) components due to incompatibility with 3D models, vulnerability to fraudulent activities, and lack of durability.

Innovation Solution

Integrating a machine-readable 3D matrix pattern directly into the AM component using 3D printing, which involves generating a data model, projecting the matrix pattern onto a surface, and using it as input for a 3D printer to create a durable and immutable data representation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a 2-D barcode label is manually applied to an AM component, then data association is achieved, but durability and resistance to tampering deteriorate

Engineering Contradiction:
Improvedata association reliabilityVSAvoidlabel durability
Core Design Contradiction:
ReliabilityVSStrength

Solution Approach 1:

The patent merges the data matrix directly into the AM component by integrating it into the 3-D model and printing it as part of the component itself. This eliminates the separate label and its associated durability problems, creating a unified structure where the data matrix becomes an intrinsic part of the component geometry.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a digital copy of the data matrix within the 3-D model that is then physically realized through additive manufacturing. The matrix pattern is copied from the digital design into the physical component structure, ensuring permanent association without requiring physical labels.

Inventive Principle:
Principle #26Copying

2Loss of information

If a 2-D barcode label is used to identify AM components, then data tracking is enabled, but vulnerability to fraudulent activities increases

Engineering Contradiction:
Improvedata tracking capabilityVSAvoidanti-fraud reliability
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

By merging the data matrix directly into the component's 3-D structure during manufacturing, the patent creates an immutable identification system that cannot be separated from the component. This integration prevents label replacement and counterfeiting since the data matrix becomes part of the component's identity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent performs the data matrix integration during the initial 3-D printing process, embedding the identification data before the component is completed or used. This preliminary integration ensures that the data association is established authentically at the source, preventing later tampering or fraudulent substitution.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If conventional 2-D barcodes are used for AM components, then simplicity is maintained, but compatibility with 3-D models deteriorates

Engineering Contradiction:
Improveidentification system simplicityVSAvoid3-D model compatibility
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent transitions from 2-D barcode representation to 3-D matrix integration by projecting and embedding the data pattern directly into the 3-D component model. This dimensional transformation allows the identification system to natively exist in 3-D space, achieving full compatibility with AM workflows while maintaining the simplicity of matrix-based data encoding.

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

Data Source

PatentUS11001047B2Methods for additively manufactured identification features
Publication Date: 2021.05.11 DIVERGENT TECHNOLOGIES INC
  • US11001047B2 patent drawing
  • US11001047B2 patent drawing
  • US11001047B2 patent drawing

AI summary

Techniques for integrating a machine-readable matrix with a component of a mechanical structure using three-dimensional (3-D) printing are disclosed. Such techniques include generating at least one data model representing the component, and projecting a matrix pattern identifying one or more features of the component onto a selected surface portion of the component to produce a modified data model for use as an input to a 3-D printer.