Radio Frequency Classification of Additively Manufactured Conductive Inks for Trust Applications

Authors

Benjamin J. Voetberg, Air Force Institute of Technology
Timothy J. Carbino, Air Force Institute of Technology
Michael A. Temple, Air Force Institute of Technology
Phillip R. Buskohl, Air Force Research Laboratory
B. Young, Air Force Research Laboratory
James R. Deneault, Air Force Research Laboratory

Document Type

Conference Proceeding

Publication Date

3-12-2018

Abstract

Inherent electrical property variations in additively manufactured components present an opportunity for their unique classification. Discrimination analyses, such as Multiple Discriminant Analysis and Random Forest, are applied to the RF spectral data of aerosol jet printed silver traces and demonstrated positive identification of individual specimens. The technique shows promise as a low-cost solution for supply chain validation and trust applications.

Comments

This conference paper is available to registered users of DTIC R&E Gateway by clicking here.  Login  is required.  Access to the DTIC R&E Gateway portal is limited to U.S. Government and it's contractors.

This paper is marked as Distribution A - Approved For Public Release

Co-author B. Voetberg was enrolled in an AFIT PhD program at the time of this conference. (March 2020 cohort)

Source Publication

Annual Government Microcircuit Applications & Critical Technologies Conference. Conference (Gomactech 18)(43rd), 12-15 March 2018, Miami

Recommended Citation

Voetberg,B.,Carbino,T.,Temple,M.,Buskohl,P.,Young,B.,Deneault,J. (2018, March). Radio Frequency Classification of Additively Manufactured Conductive Inks for Trust Applications. Annual GOMACHTech Conference. DTIC: AD1052743.