Obfuscation of Embedded Codes in Additive Manufactured Components for Product Authentication-Reference-Cited by-同舟云学术

Obfuscation of Embedded Codes in Additive Manufactured Components for Product Authentication

Published:2019-04-23 Issue:8 Volume:21 Page:1900146
ISSN:1438-1656
Container-title:Advanced Engineering Materials
language:en
Short-container-title:Adv. Eng. Mater.

Author:

Chen Fei¹^ORCID,Yu Jian H.²^ORCID,Gupta Nikhil¹^ORCID

Affiliation:

1. Composite Materials and Mechanics LaboratoryDepartment of Mechanical and Aerospace EngineeringTandon School of EngineeringNew York University6 MetroTech CenterBrooklynNY11201USA

2. Weapons and Materials Research Directorate at U.S. Army Research Laboratory4600 Deer Creek Loop, Aberdeen Proving GroundMD21005‐5069USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.201900146

Reference49 articles.

1. Mitigation of tracheobronchomalacia with 3D-printed personalized medical devices in pediatric patients

2. Direct laser freeform fabrication of high performance metal components

3. M.Yampolskiy T. R.Andel J. T.McDonald W. B.Glisson A.Yasinsac presented atProc. 4th Program Protection and Reverse Engineering Workshop New Orleans LA USA December 9 2014.

4. High-Value SLM Aerospace Components: From Design to Manufacture

5. Additive manufactured steel breaks strength-ductility trade-off

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