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All-in-one encoder/decoder approach for non-destructive identification of 3D-printed objects.

Choonsung Shin¹, Sung-Hee Hong², Hieyoung Jeong³

¹Graduate School of Culture, Chonnam National University, Gwangju, Korea.

Mathematical Biosciences and Engineering : MBE

|January 19, 2023

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This study introduces a terahertz (THz) wave method for nondestructive identification of 3D-printed objects by embedding 1D barcodes within their design files. This technique enables efficient and practical authentication of 3D-printed items.

Area of Science:

Additive Manufacturing
Non-destructive Testing
Terahertz Spectroscopy

Background:

The increasing use of 3D printing across various industries necessitates robust methods for identifying and authenticating printed objects.
Current identification methods may be destructive or insufficient for complex internal structures.
There is a need for non-destructive techniques to verify the integrity and origin of 3D-printed components.

Purpose of the Study:

To develop and demonstrate an all-in-one encoder/decoder system for the non-destructive identification of 3D-printed objects.
To integrate a 1D identification code directly into the 3D model's stereolithography (STL) file.
To utilize terahertz (THz) waves for extracting embedded identification codes without damaging the object.

Main Methods:

Keywords:

3D object tagging 3D printing 3D scanning non-destructive identification terahertz

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Generation of a 1D identification code and its conversion into a 3D barcode.
Insertion of the 3D barcode into a designated area within the object's STL file.
Employing THz time-domain spectroscopy for transmitting and reflecting THz waves through the 3D-printed object to detect the embedded code.
Utilizing integral fast Fourier transform for enhanced code extraction from deeper object areas.

Main Results:

Successful implementation and testing of the proposed THz-based identification method.
Demonstrated the practicality and simplicity of using 1D barcodes for identifying 3D-printed objects.
Showcased increased information efficiency for detecting codes in deeper sections of the object through integral fast Fourier transform.

Conclusions:

The proposed method offers a practical and efficient solution for the non-destructive identification of 3D-printed objects.
Embedding internal codes via THz detection facilitates secure authentication and traceability in additive manufacturing.
This integrated approach is expected to accelerate the adoption and distribution of 3D printing technologies through enhanced security and verification.