Manufacturing and Security Challenges in 3D Printing

As the manufacturing time, quality, and cost associated with additive manufacturing (AM) continue to improve, more and more businesses and consumers are adopting this technology. Some of the key benefits of AM include customizing products, localizing production and reducing logistics. Due to these and numerous other benefits, AM is enabling a globally distributed manufacturing process and supply chain spanning multiple parties, and hence raises concerns about the reliability of the manufactured product. In this work, we first present a brief overview of the potential risks that exist in the cyber-physical environment of additive manufacturing. We then evaluate the risks posed by two different classes of modifications to the AM process which are representative of the challenges that are unique to AM. The risks posed are examined through mechanical testing of objects with altered printing orientation and fine internal defects. Finite element analysis and ultrasonic inspection are also used to demonstrate the potential for decreased performance and for evading detection. The results highlight several scenarios, intentional or unintentional, that can affect the product quality and pose security challenges for the additive manufacturing supply chain.

[1]  Christopher B. Williams,et al.  Additive manufacturing (AM) and nanotechnology: promises and challenges , 2013 .

[2]  N. Shamsaei,et al.  An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control , 2015 .

[3]  Jules White,et al.  Cyber-physical security challenges in manufacturing systems , 2014 .

[4]  Matthew Di Prima,et al.  On reducing anisotropy in 3D printed polymers via ionizing radiation , 2014 .

[5]  Todd Palmer,et al.  Anisotropic tensile behavior of Ti-6Al-4V components fabricated with directed energy deposition additive manufacturing , 2015 .

[6]  Ryan B. Wicker,et al.  Characterizing the effect of additives to ABS on the mechanical property anisotropy of specimens fabricated by material extrusion 3D printing , 2015 .

[7]  P. Wright,et al.  Anisotropic material properties of fused deposition modeling ABS , 2002 .

[8]  J. Kruth,et al.  Residual stresses in selective laser sintering and selective laser melting , 2006 .

[9]  Christopher B. Williams,et al.  Fatigue properties of parts printed by PolyJet material jetting , 2015 .

[10]  John E. Renaud,et al.  Mechanical behavior of acrylonitrile butadiene styrene (ABS) fused deposition materials. Experimental investigation , 2001 .

[11]  Yifu Shen,et al.  In-situ TiC particle reinforced Ti-Al matrix composites: Powder preparation by mechanical alloying and Selective Laser Melting behavior , 2009 .

[12]  Guha Manogharan,et al.  Making sense of 3-D printing: Creating a map of additive manufacturing products and services , 2014 .

[13]  Denis J. Marcellin-Little,et al.  Applications of Metal Additive Manufacturing in Veterinary Orthopedic Surgery , 2015 .

[14]  Jinhui Liu,et al.  Formation of Nanocrystalline Tungsten by Selective Laser Melting of Tungsten Powder , 2012 .

[15]  Ma Qian,et al.  Effect of Powder Reuse Times on Additive Manufacturing of Ti-6Al-4V by Selective Electron Beam Melting , 2015 .

[16]  M. Bogers,et al.  Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing , 2016 .

[17]  T. Childs,et al.  Selective laser sintering (melting) of stainless and tool steel powders: Experiments and modelling , 2005 .

[18]  Mark Mohammad Tehranipoor,et al.  Trustworthy Hardware: Identifying and Classifying Hardware Trojans , 2010, Computer.

[19]  Christopher J. Sutcliffe,et al.  Selective laser melting of aluminium components , 2011 .

[20]  Denis Cormier,et al.  Multifunctional Printing: Incorporating Electronics into 3D Parts Made by Additive Manufacturing , 2015 .

[21]  Designation : D 638 − 14 Standard Test Method for Tensile Properties of Plastics 1 , 2015 .

[22]  John J. Lewandowski,et al.  Evaluation of Orientation Dependence of Fracture Toughness and Fatigue Crack Propagation Behavior of As-Deposited ARCAM EBM Ti-6Al-4V , 2015 .

[23]  Klaus-Dieter Thoben,et al.  Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift , 2015, Sensors.

[24]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..