Part Authentication Through Encrypted Geometric-Magnetic Fingerprint Fusion in Cold Spray Additive Manufacturing
Abstract Cold spray additive manufacturing (CSAM) has emerged as a promising cost-effective technology for producing high-performance metal parts, particularly in aerospace applications. However, the widespread adoption of cold spray AM in critical industrial sectors has raised concerns regarding intellectual property protection and supply chain integrity. This paper presents a dual-fingerprint authentication framework for cold spray AM parts that combines inherent geometric features with engineered magnetic patterns. Our system exploits the stochastic nature of the cold spray process, where process variations and particle deposition dynamics generate unique, physically unclonable geometric patterns on each part’s surface. These geometric fingerprints are captured through a laser-based 3D scanning system. Additionally, we introduce a magnetic fingerprinting methodology by strategically embedding nickel deposits within copper main deposits during manufacturing, creating distinct magnetic signatures that can be detected non-destructively when the part is magnetized. The dual-fingerprint feature can be leveraged by various encryption algorithms to preserve fingerprint confidentiality throughout the supply chain while enabling secure authentication. To demonstrate its effectiveness, we implement a learning-with-error (LWE) encryption scheme where the magnetic fingerprint serves as an encryption key for the geometric fingerprint data. The system authenticates parts by comparing newly scanned geometric fingerprints with decrypted reference data using the magnetic key. This dual-factor authentication approach provides a robust defense against counterfeiting while protecting valuable manufacturing intellectual property, thereby securing the entire supply chain for cold spray AM parts. Experimental validation demonstrates the system’s effectiveness in authenticating parts non-destructively while maintaining stringent security standards, making it particularly suitable for aerospace and other critical applications where part authenticity and supply chain integrity are paramount.
Authors
- Samuel Boese (ORCID: https://orcid.org/0000-0002-0570-9284)
- Xiaoning Jin (ORCID: https://orcid.org/0000-0001-9353-8456)
- Ahmad Nourian (ORCID: https://orcid.org/0000-0002-3818-9123)
- Sinan Müftü (ORCID: https://orcid.org/0000-0002-3431-9461)
- Sagar Kamarthi (ORCID: https://orcid.org/0000-0001-5845-7714)
- Zifeng Wang (ORCID: https://orcid.org/0000-0001-6792-0117)
- Aidan Sevinsky
- Mrudul Satbhai
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1115/msec2025-155551
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Army Research Laboratory